# Patent

## Title
Air/fuel ratio control apparatus and method for internal combustion engine and engine control unit

## Abstract

An air/fuel ratio control apparatus an internal combustion engine, and an engine control unit are provided for conducting perturbation control to maintain a satisfactory exhaust gas purification percentage irrespective of whether or not a catalyst is deteriorated. The air/fuel ratio control apparatus for an internal combustion engine includes an ECU, and a LAF sensor and an O2 sensor disposed at locations upstream and downstream of a first catalyst, respectively, in an exhaust pipe. The ECU sets a target air/fuel ratio for converging the output of the O2 sensor to a predetermined target value such that it fluctuates over a predetermined amplitude at a predetermined frequency higher when the output of the O2 sensor remains near a predetermined target value than when it is not near the predetermined target value. The ECU also controls an air/fuel ratio to match the output of the LAF sensor with the target air/fuel ratio KCMD.

## Background
BACKGROUND OF THE INVENTION
1. Field of the Invention
The present invention relates to an air/fuel ratio control apparatus and apparatus for an internal combustion engine, and an engine control unit for conducting a perturbation control that involves periodically fluctuating (vibrating) a target air/fuel ratio over a predetermined amplitude.
2. Description of the Prior Art
Conventionally, an air/fuel ratio control apparatus of the type mentioned above is known, for example, from Laid-open Japanese Patent Application No. 64-66441. This air/fuel ratio control apparatus comprises an O2 sensor disposed at a location downstream of a catalyst in an exhaust pipe for outputting a detection signal in accordance with the concentration of oxygen in exhaust gases. This air/fuel ratio control apparatus calculates an average of the detection signal of the O2 sensor, and calculates a reference value for a perturbation control in accordance with the calculated average. In the perturbation control, the air/fuel ratio control apparatus adds or does not add a predetermined amplitude step to the reference value to calculate an air/fuel ratio correction coefficient, so that the air/fuel ratio correction coefficient, i.e., the air/fuel ratio repeatedly fluctuates within a predetermined amplitude in a rectangular shape. In the perturbation control, the air/fuel ratio is fluctuated at a frequency which is set to a value in a range of 1 to 4 Hz.
While the conventional air/fuel ratio control apparatus sets the frequency to a value in the range of 1 to 4 Hz at which the air/fuel ratio is fluctuated in the perturbation control, the catalyst does not always purify exhaust gases at a constant percentage when this type of perturbation control is conducted. Specifically, it has been found that the catalyst, when not deteriorated, presents a satisfactory value for the exhaust gas purification percentage irrespective of the air/fuel ratio fluctuating frequency of the perturbation control, whereas the catalyst, when deteriorated, presents a satisfactory value in a frequency range not lower than 3 Hz, more preferably not lower than 5 Hz but a significantly lower value in a frequency range lower than 3 Hz (see FIG. 38). As will be supposed from this fact, the conventional air/fuel ratio control apparatus is likely to cause a lower exhaust gas purification percentage presented by the catalyst and a resulting exacerbation in the characteristic of exhaust gases purified by the catalyst (hereinafter called the “post-catalyst exhaust gas characteristic”), when the catalyst is deteriorated, because the air/fuel ratio fluctuating frequency is set to a value in the range of 1 to 4 Hz irrespective of whether or not the catalyst is deteriorated.
OBJECT AND SUMMARY OF THE INVENTION
The present invention has been made to solve the above problem, and it is an object of the invention to provide an air/fuel ratio control apparatus and method for an internal combustion engine, and an engine control unit in use for conducting a perturbation control which are capable of maintaining a satisfactory exhaust gas purification percentage irrespective of whether or not a catalyst is deteriorated, thereby improving the post-catalyst exhaust gas characteristics.
To achieve the above object, according to a first aspect of the present invention, there is provided an air/fuel ratio control apparatus which is characterized by comprising upstream air/fuel ratio sensing means for outputting a detection signal indicative of an air/fuel ratio of exhaust gases at a location upstream of a catalyst in an exhaust passage of the internal combustion engine; downstream air/fuel ratio sensing means for outputting a detection signal indicative of the air/fuel ratio of the exhaust gases at a location downstream of the catalyst in the exhaust passage; target air/fuel ratio setting means for setting a target air/fuel ratio for converging the output of the downstream air/fuel ratio sensing means to a predetermined target value such that the output of the downstream air/fuel ratio sensing means fluctuates over a predetermined amplitude and at a predetermined frequency higher when the output is near the predetermined target value than when the output is not near the predetermined target value; and air/fuel ratio control means for controlling the air/fuel ratio of an air/fuel mixture supplied to the internal combustion engine based on the output of the upstream air/fuel ratio sensing means to match the air/fuel ratio of the exhaust gases upstream of the catalyst with the target air/fuel ratio set by the target air/fuel ratio setting means.
According to this air/fuel ratio control apparatus for an internal combustion engine, the target air/fuel ratio for converging the output of the downstream air/fuel ratio sensing means to the predetermined target value is set such that it fluctuates over the predetermined amplitude at a frequency higher when the output of the downstream air/fuel ratio sensing means is near the predetermined target value than when the output is not near the predetermined target value. In addition, the air/fuel ratio of the air/fuel mixture supplied to the internal combustion engine is controlled to match the air/fuel ratio of exhaust gases at a location upstream of the catalyst with the thus set target air/fuel ratio. In other words, a so-called perturbation control is conducted. Therefore, a satisfactory exhaust gas purification percentage can be maintained irrespective of whether or not the catalyst is deteriorated by setting the predetermined frequency to the aforementioned 3 Hz or more, or more preferably 5 Hz or more at which the catalyst can operate at a satisfactory exhaust gas purification ratio. Moreover, by setting the predetermined target value to such a value at which the catalyst can operate at a satisfactory exhaust gas purifying percentage (for example, a target value Vop in FIG. 2), the exhaust gas purification percentage can be further improved by fluctuating the target air/fuel ratio at the aforementioned frequency when the output of the downstream air/fuel ratio sensing means is near the target value.
On the other hand, when the output of the downstream air/fuel ratio sensing means is far away from the predetermined target value so that the air/fuel ratio of the mixture supplied to the internal combustion engine can cause a lower exhaust gas purification percentage, the output of the downstream air/fuel ratio sensing means can be rapidly brought to the predetermined target value by fluctuating the target air/fuel ratio at a frequency lower than 3 Hz, thereby rapidly recovering a satisfactory exhaust gas purification percentage. In the foregoing manner, the air/fuel ratio control apparatus for an internal combustion engine of the present invention can maintain the catalyst at a satisfactory exhaust gas purification percentage to improve the post-catalyst exhaust gas characteristics.
To achieve the above object, according to a second aspect of the invention, there is provided air/fuel ratio control method for an internal combustion engine characterized by comprising the steps of detecting an output of upstream air/fuel ratio sensing means indicative of an upstream an air/fuel ratio of exhaust gases at a location upstream of a catalyst in an exhaust passage of the internal combustion engine; detecting an output of downstream air/fuel ratio sensing means indicative of a downstream air/fuel ratio of the exhaust gases at a location downstream of the catalyst in the exhaust passage; setting a target air/fuel ratio for converging the output of the downstream air/fuel ratio sensing means to a predetermined target value such that the output of the downstream air/fuel ratio sensing means fluctuates over a predetermined amplitude and at a predetermined frequency higher when the output of the downstream air/fuel ratio sensing means is near the predetermined target value than when the output of the downstream air/fuel ratio sensing means is not near the predetermined target value; and controlling the air/fuel ratio of an air/fuel mixture supplied to the internal combustion engine based on the output of the upstream air/fuel ratio sensing means to match the upstream air/fuel ratio of the exhaust gases upstream of the catalyst with the set target air/fuel ratio.
This air/fuel ratio control method provides the same advantageous effects as described above concerning the air/fuel ratio control apparatus according to the first aspect of the invention.
To achieve the above object, according to a third aspect of the invention, there is provided an engine control unit including a control program for causing a computer to detect an output of an air/fuel ratio sensing means indicative of an air/fuel ratio of exhaust gases at a location downstream of a catalyst in an exhaust passage of the internal combustion engine; set a target air/fuel ratio for converging the output of the air/fuel ratio sensing means to a predetermined target value such that the output of the air/fuel ratio sensing means fluctuates over a predetermined amplitude and at a predetermined frequency higher when the output of the air/fuel ratio sensing means is near the predetermined target value than when the output of the air/fuel ratio sensing means is not near the predetermined target value; and control the air/fuel ratio of an air/fuel mixture supplied to the internal combustion engine in accordance with the set target air/fuel ratio.
This engine control unit provides the same advantageous effects as described above concerning the air/fuel ratio control apparatus according to the first aspect of the invention.
Preferably, in the air/fuel ratio control apparatus for an internal combustion engine, the target air/fuel ratio setting means sets the target air/fuel ratio based on one of a Δ modulation algorithm, a ΔΣ modulation algorithm and a ΣΔ modulation algorithm.
According to this preferred embodiment of the air/fuel ratio control apparatus for an internal combustion engine, the target air/fuel ratio is set based on one of a Δ modulation algorithm, a ΔΣ modulation algorithm and a ΣΔ modulation algorithm. Generally, this type of each modulation algorithm is characterized in that its output changes to 1 or −1, i.e., the output changes in sign. The output is determined to be the same as the sign, i.e., positive or negative of a deviation of an input from an integrated output in the Δ modulation algorithm; the same as the sign of an integrated deviation of the input from the output in the ΔΣ modulation algorithm; and the same as the sign of a deviation of an integrated input from the integrated output in the ΣΔ modulation algorithm. Therefore, with the use of the characteristics of any of such modulation algorithms, the target air/fuel ratio can be controlled such that its fluctuating frequency automatically changes to a higher value as the output of the downstream air/fuel ratio sensing means is closer to the predetermined target value, irrespective of whether or not the catalyst is deteriorated or how the internal combustion engine is operated. It is therefore possible to control the air/fuel ratio to maintain a consistently satisfactory exhaust gas purification percentage without adding a program for switching the fluctuating frequency of the target air/fuel ratio based on the result of a comparison between the target air/fuel ratio and the predetermined target value.
Preferably, in the air/fuel ratio control method for an internal combustion engine described above, the target air/fuel ratio is set based on one of a Δ modulation algorithm, a ΔΣ modulation algorithm and a ΣΔ modulation algorithm.
This preferred embodiment of the air/fuel ratio control method provides the same advantageous effects provided by the corresponding preferred embodiment of the air/fuel ratio control apparatus.
Preferably, in the engine control unit described above, the control program causes the computer to set the target air/fuel ratio based on one of a Δ modulation algorithm, a ΔΣ modulation algorithm and a ΣΔ modulation algorithm.
This preferred embodiment of the engine control unit provides the same advantageous effects provided by the corresponding preferred embodiment of the air/fuel ratio control apparatus.
Preferably, in the air/fuel ratio control apparatus for an internal combustion engine, the target air/fuel ratio setting means includes predicted value calculating means for calculating a predicted value for a value indicative of the output of the downstream air/fuel ratio sensing means based on a prediction algorithm; and target air/fuel ratio calculating means for calculating the target air/fuel ratio based on the calculated predicted value in accordance with the one modulation algorithm.
According to this preferred embodiment of the air/fuel ratio control apparatus for an internal combustion engine, a predicted value of the value indicative of the output of the air/fuel ratio sensing means is calculated based on the prediction algorithm, and the target air/fuel ratio is calculated based on the calculated predicted value in accordance with the one modulation algorithm. Since the target air/fuel ratio is calculated in the foregoing manner, it is possible to eliminate slippage in control timing between the input and output in the air/fuel ratio control by calculating the predicted value as a value which reflects the dynamic characteristics of the controlled object in the air/fuel ratio control, for example, a phase delay, a dead time, and the like between the air/fuel mixture supplied to the internal combustion engine and the output of the downstream air/fuel ratio sensing means. Consequently, the air/fuel ratio control apparatus for an internal combustion engine of the present invention can further improve the exhaust gas purification percentage and ensure a stable air/fuel ratio control.
Preferably, in the air/fuel ratio control method for an internal combustion engine described above, the step of setting a target air/fuel ratio includes calculating a predicted value for a value indicative of the output of the downstream air/fuel ratio sensing means based on a prediction algorithm; and calculating the target air/fuel ratio based on the calculated predicted value in accordance with the one modulation algorithm.
This preferred embodiment of the air/fuel ratio control method provides the same advantageous effects provided by the corresponding preferred embodiment of the air/fuel ratio control apparatus.
Preferably, in the engine control unit described above, the control program causes the computer to calculate a predicted value for a value indicative of the output of the downstream air/fuel ratio sensing means based on a prediction algorithm; and calculate the target air/fuel ratio based on the calculated predicted value in accordance with the one modulation algorithm.
This preferred embodiment of the engine control unit provides the same advantageous effects provided by the corresponding preferred embodiment of the air/fuel ratio control apparatus.
Preferably, in the air/fuel ratio control apparatus for an internal combustion engine, the prediction algorithm is an algorithm based on a controlled object model which has a variable associated with a value indicative the output of the downstream air/fuel ratio sensing means, and one of values indicative of the target air/fuel ratio and the output of the upstream air/fuel ratio sensing means.
According to this preferred embodiment of the air/fuel ratio control apparatus for an internal combustion engine, since the predicted value of the value indicative of the output of the air/fuel ratio sensing means is calculated in accordance with the prediction algorithm which applies the controlled object model, the predicted value can be calculated as a value which appropriately reflects the dynamic characteristics of the controlled object by defining the controlled object model which reflects the dynamic characteristics between the input and output of the controlled object, for example, a phase delay, a dead time, and the like between the air/fuel mixture supplied to the internal combustion engine and the output of the downstream air/fuel ratio sensing means, thereby appropriately eliminating slippage in control timing between the input and output in the air/fuel ratio control.
Preferably, in the air/fuel ratio control method for an internal combustion engine described above, the prediction algorithm is an algorithm based on a controlled object model which has a variable associated with a value indicative of the output of the downstream air/fuel ratio sensing means, and one of values indicative of the target air/fuel ratio and the output of the upstream air/fuel ratio sensing means.
This preferred embodiment of the air/fuel ratio control method provides the same advantageous effects provided by the corresponding preferred embodiment of the air/fuel ratio control apparatus.
Preferably, in the engine control unit described above, the prediction algorithm is an algorithm based on a controlled object model which has a variable associated with a value indicative of the output of the downstream air/fuel ratio sensing means, and one of values indicative of the target air/fuel ratio and the output of the upstream air/fuel ratio sensing means.
This preferred embodiment of the engine control unit provides the same advantageous effects provided by the corresponding preferred embodiment of the air/fuel ratio control apparatus.
Preferably, in the air/fuel ratio control apparatus for an internal combustion engine, the target air/fuel ratio setting means includes target air/fuel ratio calculating means for calculating the target air/fuel ratio based on a discrete time based controlled object model which has a variable associated with one of time-series data of a value indicative of the target air/fuel ratio and time-series data of a value indicative of the output of the upstream air/fuel ratio sensing means, and a variable associated with time-series data of a value indicative of the output of the downstream air/fuel ratio sensing means in accordance with the one modulation algorithm; and identifying means for sequentially identifying model parameters of the discrete time based controlled object model.
According to this preferred embodiment of the air/fuel ratio control apparatus for an internal combustion engine, the model parameters of the controlled object model is identified in sequence, i.e., in real time, and the target air/fuel ratio is set based on the controlled object model, the model parameters of which are thus determined, in accordance with the one modulation algorithm. Thus, the dynamic characteristics of the controlled object model can be fitted to the actual dynamic characteristics of the controlled object while avoiding the influence of changes caused by varying operating conditions of the internal combustion engine as well as aging changes of the dynamic characteristics of the controlled object, i.e., a phase delay, dead time, and the like between the air/fuel mixture supplied to the internal combustion engine and the output of the downstream air/fuel ratio sensing means. As a result, the air/fuel ratio control apparatus for an internal combustion engine according to the present invention can appropriately correct slippage in control timing between the input and output in the air/fuel ratio control, possibly caused by the dynamic characteristics of the controlled object, for example, a phase delay, a dead time, and the like.
Preferably, in the air/fuel ratio control method for an internal combustion engine described above, the step of setting a target air/fuel ratio includes calculating the target air/fuel ratio based on a discrete time based controlled object model which has a variable associated with one of time-series data of a value indicative of the target air/fuel ratio and time-series data of a value indicative of the output of the upstream air/fuel ratio sensing means, and a variable associated with time-series data of a value indicative of the output of the downstream air/fuel ratio sensing means in accordance with the one modulation algorithm; and sequentially identifying model parameters of the discrete time based controlled object model.
This preferred embodiment of the air/fuel ratio control method provides the same advantageous effects provided by the corresponding preferred embodiment of the air/fuel ratio control apparatus.
Preferably, in the engine control unit described above, the control program causes the computer to calculate the target air/fuel ratio based on a discrete time based controlled object model which has a variable associated with one of time-series data of a value indicative of the target air/fuel ratio and time-series data of a value indicative of the output of the upstream air/fuel ratio sensing means, and a variable associated with time-series data of a value indicative of the output of the downstream air/fuel ratio sensing means in accordance with the one modulation algorithm; and sequentially identify model parameters of the discrete time based controlled object model.
This preferred embodiment of the engine control unit provides the same advantageous effects provided by the corresponding preferred embodiment of the air/fuel ratio control apparatus.
Preferably, in the air/fuel ratio control apparatus for an internal combustion engine, the target air/fuel ratio calculating means calculates a predicted value of the value indicative of the output of the downstream air/fuel ratio sensing means in accordance with the prediction algorithm which applies the controlled object model, and calculates the target air/fuel ratio based on the calculated prediction value in accordance with the one modulation algorithm.
According to this preferred embodiment of the air/fuel ratio control apparatus for an internal combustion engine, the predicted value of the value indicative of the output of the downstream air/fuel ratio sensing means is calculated in accordance with the prediction algorithm which applies the controlled object model, and the target air/fuel ratio is calculated based on the calculated prediction value in accordance with the one modulation algorithm. In this event, since the dynamic characteristics of the controlled object model can be fitted to the dynamic characteristics of the actual controlled object by using the model parameters which have been identified as described above, the predicted value can be calculated as a value which reflects the actual dynamic characteristics of the controlled object through a calculation in accordance with the prediction algorithm which applies the controlled object model. Consequently, the air/fuel ratio control apparatus for an internal combustion engine of the present invention can more accurately correct slippage in control timing between the input and output in the air/fuel ratio control.
Preferably, in the air/fuel ratio control method for an internal combustion engine described above, the step of calculating a target air/fuel ratio includes calculating a predicted value of the value indicative of the output of the downstream air/fuel ratio sensing means in accordance with the prediction algorithm which applies the controlled object model; and calculating the target air/fuel ratio based on the calculated prediction value in accordance with the one modulation algorithm.
This preferred embodiment of the air/fuel ratio control method provides the same advantageous effects provided by the corresponding preferred embodiment of the air/fuel ratio control apparatus.
Preferably, in the engine control unit described above, the control program causes the computer to calculate a predicted value of the value indicative of the output of the downstream air/fuel ratio sensing means in accordance with the prediction algorithm which applies the controlled object model; and calculate the target air/fuel ratio based on the calculated prediction value in accordance with the one modulation algorithm.
This preferred embodiment of the engine control unit provides the same advantageous effects provided by the corresponding preferred embodiment of the air/fuel ratio control apparatus.
Preferably, the air/fuel ratio control apparatus for an internal combustion engine further comprises operating condition parameter detecting means for detecting an operating condition parameter indicative of an operating condition of the internal combustion engine, wherein the target air/fuel ratio setting means includes target air/fuel ratio calculating means for calculating the target air/fuel ratio based on a controlled object model which has a variable associated with a value indicative of the output of the downstream air/fuel ratio sensing means and one of a value indicative of the target air/fuel ratio and a value indicative of the output of the upstream air/fuel ratio sensing means in accordance with the one modulation algorithm; and model parameter setting means for setting model parameters for the controlled object model in accordance with the operating condition parameter detected by the operating condition parameter detecting means.
According to this preferred embodiment of the air/fuel ratio control apparatus for an internal combustion engine, the target air/fuel ratio is calculated based on a controlled object model which has a variable associated with the value indicative of the output of the downstream air/fuel ratio sensing means and one of the value indicative of the target air/fuel ratio and a value indicative of the output of the upstream air/fuel ratio sensing means in accordance with the one modulation algorithm, and model parameters for the controlled object model are set in accordance with the operating condition parameter detected by the operating condition parameter detecting means, so that the dynamic characteristics of the controlled object model can be rapidly fitted to the dynamic characteristics of the actual controlled object. Consequently, the air/fuel ratio control apparatus for an internal combustion engine of the present invention can rapidly and accurately correct slippage in control timing between the input and output in the air/fuel ratio control.
Preferably, the air/fuel ratio control method for an internal combustion engine described above further comprises the step of detecting an operating condition parameter indicative of an operating condition of the internal combustion engine, wherein the step of setting a target air/fuel ratio includes calculating the target air/fuel ratio based on a controlled object model which has a variable associated with a value indicative the output of the downstream air/fuel ratio sensing means and one of a value indicative of the target air/fuel ratio and a value indicative of the output of the upstream air/fuel ratio sensing means in accordance with the one modulation algorithm; and setting model parameters for the controlled object model in accordance with the detected operating condition parameter.
This preferred embodiment of the air/fuel ratio control method provides the same advantageous effects provided by the corresponding preferred embodiment of the air/fuel ratio control apparatus.
Preferably, in the engine control unit described above, the control program causes the computer to detect an operating condition parameter indicative of an operating condition of the internal combustion engine; calculate the target air/fuel ratio based on a controlled object model which has a variable associated with a value indicative of the output of the downstream air/fuel ratio sensing means and one of a value indicative of the target air/fuel ratio and a value indicative of the output of the upstream air/fuel ratio sensing means in accordance with the one modulation algorithm; and set model parameters for the controlled object model in accordance with the detected operating condition parameter.
This preferred embodiment of the engine control unit provides the same advantageous effects provided by the corresponding preferred embodiment of the air/fuel ratio control apparatus.
Preferably, in the air/fuel ratio control apparatus for an internal combustion engine, the target air/fuel ratio calculating means calculates a predicted value of the value indicative of the output of the downstream air/fuel ratio sensing means in accordance with the prediction algorithm which applies the controlled object model, and calculates the target air/fuel ratio based on the calculated prediction value in accordance with the one modulation algorithm.
According to this preferred embodiment of the air/fuel ratio control apparatus for an internal combustion engine, the predicted value of the value indicative of the output of the downstream air/fuel ratio sensing means is calculated in accordance with the prediction algorithm which applies the controlled object model, and the target air/fuel ratio is calculated based on the calculated prediction value in accordance with the one modulation algorithm. In this event, since the dynamic characteristics of the controlled object model can be rapidly fitted to the dynamic characteristics of the actual controlled object by using the model parameters which are set as described above, the predicted value can be rapidly calculated as a value which reflects the actual dynamic characteristics of the controlled object through a calculation in accordance with the prediction algorithm which applies the controlled object model. Consequently, the air/fuel ratio control apparatus for an internal combustion engine of the present invention can more accurately correct slippage in control timing between the input and output in the air/fuel ratio control.
Preferably, in the air/fuel ratio control method for an internal combustion engine described above, the step of calculating a target air/fuel ratio includes calculating a predicted value of the value indicative of the output of the downstream air/fuel ratio sensing means in accordance with the prediction algorithm which applies the controlled object model; and calculating the target air/fuel ratio based on the calculated prediction value in accordance with the one modulation algorithm.
This preferred embodiment of the air/fuel ratio control method provides the same advantageous effects provided by the corresponding preferred embodiment of the air/fuel ratio control apparatus.
Preferably, in the engine control unit described above, the control program causes the computer to calculate a predicted value of the value indicative of the output of the downstream air/fuel ratio sensing means in accordance with the prediction algorithm which applies the controlled object model; and calculate the target air/fuel ratio based on the calculated prediction value in accordance with the one modulation algorithm.
This preferred embodiment of the engine control unit provides the same advantageous effects provided by the corresponding preferred embodiment of the air/fuel ratio control apparatus.
Preferably, the air/fuel ratio control apparatus for an internal combustion engine further comprises load parameter detecting means for detecting a load parameter indicative of a load on the internal combustion engine, wherein the target air/fuel ratio setting means sets the predetermined amplitude in accordance with the load parameter detected by the load parameter detecting means.
According to this preferred embodiment of the air/fuel ratio control apparatus for an internal combustion engine, since the amplitude over which the target air/fuel ratio fluctuates is set in accordance with the load parameter indicative of the load on the internal combustion engine, the amplitude can be set for the target air/fuel ratio while the responsibility of the output of the downstream air/fuel ratio sensing means is compensated for a change associated with a varying load. In this manner, the amplitude can be appropriately set for the target air/fuel ratio while avoiding an over gain condition associated with a varying load on the internal combustion engine, thereby ensuring a satisfactory exhaust gas purification percentage.
Preferably, the air/fuel ratio control method for an internal combustion engine described above further comprises the step of detecting a load parameter indicative of a load on the internal combustion engine, wherein the step of setting a target air/fuel ratio includes setting the predetermined amplitude in accordance with the detected load parameter.
This preferred embodiment of the air/fuel ratio control method provides the same advantageous effects provided by the corresponding preferred embodiment of the air/fuel ratio control apparatus.
Preferably, in the engine control unit described above, the control program causes the computer to detect a load parameter indicative of a load on the internal combustion engine; and set the predetermined amplitude in accordance with the detected load parameter.
This preferred embodiment of the engine control unit provides the same advantageous effects provided by the corresponding preferred embodiment of the air/fuel ratio control apparatus.
To achieve the above object, according to a fourth aspect of the present invention, there is provided an air/fuel ratio control apparatus for an internal combustion engine which is characterized by comprising air/fuel ratio sensing means for outputting a detection signal indicative of an air/fuel ratio of exhaust gases at a location downstream of a catalyst in an exhaust passage of the internal combustion engine; target air/fuel ratio setting means for setting a target air/fuel ratio for converging an output of the air/fuel ratio sensing means to a predetermined target value such that the output of the downstream air/fuel ratio sensing means fluctuates over a predetermined amplitude and at a predetermined frequency higher when the output is near the predetermined target value than when the output is not near the predetermined target value; and air/fuel ratio control means for controlling the air/fuel ratio of an air/fuel mixture supplied to the internal combustion engine in accordance with the set target air/fuel ratio.
According to this air/fuel ratio control apparatus for an internal combustion engine, the target air/fuel ratio for converging the output of the downstream air/fuel ratio sensing means to the predetermined target value is set such that it fluctuates over the predetermined amplitude at a frequency higher when the output of the air/fuel ratio sensing means is near the predetermined target value than when the output is not near the predetermined target value. In addition, the air/fuel ratio of the air/fuel mixture supplied to the internal combustion engine is controlled in accordance with the thus set target air/fuel ratio. In other words, the perturbation control is conducted. Therefore, a satisfactory exhaust gas purification percentage can be maintained irrespective of whether or not the catalyst is deteriorated by setting the predetermined frequency to the aforementioned 3 Hz or higher, or more preferably 5 Hz or higher at which the catalyst can operate at a satisfactory exhaust gas purification ratio. Moreover, by setting the predetermined target value to such a value at which the catalyst can operates at a satisfactory exhaust gas purifying percentage (for example, a target value Vop in FIG. 2), the exhaust gas purification percentage can be further improved by fluctuating the target air/fuel ratio at the aforementioned frequency when the output of the air/fuel ratio sensing means is near the target value.
On the other hand, when the output of the air/fuel ratio sensing means is far away from the predetermined target value so that the air/fuel ratio of the mixture supplied to the internal combustion engine can cause a lower exhaust gas purification percentage, the output of the downstream air/fuel ratio sensing means can be rapidly brought to the predetermined target value by fluctuating the target air/fuel ratio at a frequency lower than 3 Hz, in other words, by not changing the target air/fuel ratio so much, thereby rapidly recovering a satisfactory exhaust gas purification percentage. In the foregoing manner, the air/fuel ratio control apparatus for an internal combustion engine of the present invention can maintain the catalyst at a satisfactory exhaust gas purification percentage and improve the post-catalyst exhaust gas characteristics. In addition, since a single air/fuel sensing means alone is required, the air/fuel ratio control apparatus can be manufactured at a relatively low cost.
To achieve the above object, according to a fifth aspect of the invention, there is provided an air/fuel ratio control method for an internal combustion engine characterized by comprising the steps of detecting an output of an air/fuel ratio sensing means indicative of an air/fuel ratio of exhaust gases at a location downstream of a catalyst in an exhaust passage of the internal combustion engine; setting a target air/fuel ratio for converging the output of the air/fuel ratio sensing means to a predetermined target value such that the output of the air/fuel ratio sensing means fluctuates over a predetermined amplitude and at a predetermined frequency higher when the output of the air/fuel ratio sensing means is near the predetermined target value than when the output of the air/fuel ratio sensing means is not near the predetermined target value; and controlling the air/fuel ratio of an air/fuel mixture supplied to the internal combustion engine in accordance with the set target air/fuel ratio.
This air/fuel ratio control method provides the same advantageous effects as described above concerning the air/fuel ratio control apparatus according to the fourth aspect of the invention.
To achieve the above object, according to a sixth aspect of the invention, there is provided an engine control unit including a control program for causing a computer to detect an output of an air/fuel ratio sensing means indicative of an air/fuel ratio of exhaust gases at a location downstream of a catalyst in an exhaust passage of the internal combustion engine; set a target air/fuel ratio for converging the output of the air/fuel ratio sensing means to a predetermined target value such that the output of the air/fuel ratio sensing means fluctuates over a predetermined amplitude and at a predetermined frequency higher when the output of the air/fuel ratio sensing means is near the predetermined target value than when the output of the air/fuel ratio sensing means is not near the predetermined target value; and control the air/fuel ratio of an air/fuel mixture supplied to the internal combustion engine in accordance with the set target air/fuel ratio.
This engine control unit provides the same advantageous effects as described above concerning the air/fuel ratio control apparatus according to the fourth aspect of the invention.
Preferably, in the air/fuel ratio control apparatus for an internal combustion engine, the target air/fuel ratio setting means sets the target air/fuel ratio based on one of a Δ modulation algorithm, a ΔΣ modulation algorithm and a ΣΔ modulation algorithm.
According to this preferred embodiment of the air/fuel ratio control apparatus for an internal combustion engine, the target air/fuel ratio is set based on one of a Δ modulation algorithm, a ΔΣ modulation algorithm and a ΣΔ modulation algorithm. Generally, this type of each modulation algorithm is characterized in that its output changes to 1 or −1, i.e., the output changes in sign. The output is determined to be the same as the sign, i.e., positive or negative of a deviation of an input from an integrated output in the Δ modulation algorithm; the same as the sign of an integrated deviation of the input from the output in the ΔΣ modulation algorithm; and the same as the sign of a deviation of an integrated input from the integrated output in the ΣΔ modulation algorithm. Therefore, with the use of the characteristics of any of such modulation algorithms, the target air/fuel ratio can be controlled such that its fluctuating frequency automatically changes to a higher value as the output of the air/fuel ratio sensing means is closer to the predetermined target value, irrespective of whether or not the catalyst is deteriorated or how the internal combustion engine is operated. It is therefore possible to control the air/fuel ratio to maintain a consistently satisfactory exhaust gas purification percentage without adding a program for switching the fluctuating frequency of the target air/fuel ratio based on the result of a comparison between the target air/fuel ratio and the predetermined target value.
Preferably, in the air/fuel ratio control method for an internal combustion engine described above, the target air/fuel ratio is set based on one of a Δ modulation algorithm, a ΔΣ modulation algorithm and a ΣΔ modulation algorithm.
This preferred embodiment of the air/fuel ratio control method provides the same advantageous effects provided by the corresponding preferred embodiment of the air/fuel ratio control apparatus.
Preferably, in the engine control unit described above, the control program causes the computer to set the target air/fuel ratio based on one of a Δ modulation algorithm, a ΔΣ modulation algorithm and a ΣΔ modulation algorithm.
This preferred embodiment of the engine control unit provides the same advantageous effects provided by the corresponding preferred embodiment of the air/fuel ratio control apparatus.
Preferably, in the air/fuel ratio control apparatus for an internal combustion engine, the target air/fuel ratio setting means includes predicted value calculating means for calculating a predicted value for a value indicative of the output of the air/fuel ratio sensing means based on a prediction algorithm; and target air/fuel ratio calculating means for calculating the air/fuel ratio based on the calculated predicted value in accordance with the one modulation algorithm.
According to this preferred embodiment of the air/fuel ratio control apparatus for an internal combustion engine, a predicted value of the value indicative of the output of the air/fuel ratio sensing means is calculated based on the prediction algorithm, and the target air/fuel ratio is calculated based on the calculated predicted value in accordance with the one modulation algorithm. Since the target air/fuel ratio is calculated in the foregoing manner, it is possible to eliminate slippage in control timing between the input and output in the air/fuel ratio control by calculating the predicted value as a value which reflects the dynamic characteristics of the controlled object in the air/fuel ratio control, for example, a phase delay, a dead time, and the like between the air/fuel mixture supplied to the internal combustion engine and the output of the air/fuel ratio sensing means. Consequently, the air/fuel ratio control apparatus for an internal combustion engine of the present invention can further improve the exhaust gas purification percentage and ensure a stable air/fuel ratio control.
Preferably, in the air/fuel ratio control method for an internal combustion engine described above, the step of setting a target air/fuel ratio setting includes calculating a predicted value for a value indicative of the output of the air/fuel ratio sensing means based on a prediction algorithm; and calculating the target air/fuel ratio based on the calculated predicted value in accordance with the one modulation algorithm.
This preferred embodiment of the air/fuel ratio control method provides the same advantageous effects provided by the corresponding preferred embodiment of the air/fuel ratio control apparatus.
Preferably, in the engine control unit described above, the control program causes the computer to calculate a predicted value for a value indicative of the output of the air/fuel ratio sensing means based on a prediction algorithm; and calculate the target air/fuel ratio based on the calculated predicted value in accordance with the one modulation algorithm.
This preferred embodiment of the engine control unit provides the same advantageous effects provided by the corresponding preferred embodiment of the air/fuel ratio control apparatus.
Preferably, in the air/fuel ratio control apparatus for an internal combustion engine, the prediction algorithm is an algorithm based on a controlled object model which has a variable associated with a value indicative the output of the air/fuel ratio sensing means, and a variable associated with the target air/fuel ratio.
According to this preferred embodiment of the air/fuel ratio control apparatus for an internal combustion engine, since the predicted value of the value indicative of the output of the air/fuel ratio sensing means is calculated in accordance with the prediction algorithm which applies the controlled object model, the predicted value can be calculated as a value which appropriately reflects the dynamic characteristics of the controlled object by defining the controlled object model which reflects the dynamic characteristics between the input and output of the controlled object, for example, a phase delay, a dead time, and the like between the air/fuel mixture supplied to the internal combustion engine and the output of the air/fuel ratio sensing means, thereby appropriately eliminating slippage in control timing between the input and output in the air/fuel ratio control.
Preferably, in the air/fuel ratio control method for an internal combustion engine described above, the prediction algorithm is an algorithm based on a controlled object model which has a variable associated with a value indicative the value of the air/fuel ratio sensing means, and a variable associated with the target air/fuel ratio.
This preferred embodiment of the air/fuel ratio control method provides the same advantageous effects provided by the corresponding preferred embodiment of the air/fuel ratio control apparatus.
Preferably, in the engine control unit described above, the prediction algorithm is an algorithm based on a controlled object model which has a variable associated with a value indicative of the output of the air/fuel ratio sensing means, and a variable associated with the target air/fuel ratio.
This preferred embodiment of the engine control unit provides the same advantageous effects provided by the corresponding preferred embodiment of the air/fuel ratio control apparatus.
Preferably, in the air/fuel ratio control apparatus for an internal combustion engine, the target air/fuel ratio setting means includes target air/fuel ratio calculating means for calculating the target air/fuel ratio based on a discrete time based controlled object model which has a variable associated with time-series data of a value indicative of the target air/fuel ratio and time-series data of a value indicative of the output of the air/fuel ratio sensing means in accordance with the one modulation algorithm; and identifying means for sequentially identifying model parameters of the discrete time based controlled object model.
According to this preferred embodiment of the air/fuel ratio control apparatus for an internal combustion engine, the model parameters of the controlled object model is identified in sequence, i.e., in real time, and the target air/fuel ratio is set based on the controlled object model, the model parameters of which are thus determined, in accordance with the one modulation algorithm. Thus, the dynamic characteristics of the controlled object model can be fitted to the actual dynamic characteristics of the controlled object while avoiding the influence of changes caused by varying operating conditions of the internal combustion engine as well as aging changes of the dynamic characteristics of the controlled object, i.e., a phase delay, dead time, and the like between the air/fuel mixture supplied to the internal combustion engine and the output of the air/fuel ratio sensing means. As a result, the air/fuel ratio control apparatus for an internal combustion engine according to the present invention** can appropriately correct slippage in control timing between the input and output in the air/fuel ratio control, possibly caused by the dynamic characteristics of the controlled object, for example, a phase delay, a dead time, and the like.
Preferably, in the air/fuel ratio control method for an internal combustion engine described above, the step of setting a target air/fuel ratio includes calculating the target air/fuel ratio based on a discrete time based controlled object model which has a variable associated with time-series data of a value indicative of the target air/fuel ratio and time-series data of a value indicative of the output of the air/fuel ratio sensing means in accordance with the one modulation algorithm; and sequentially identifying model parameters of the discrete time based controlled object model.
This preferred embodiment of the air/fuel ratio control method provides the same advantageous effects provided by the corresponding preferred embodiment of the air/fuel ratio control apparatus.
Preferably, in the engine control unit described above, the control program causes the computer to calculate the target air/fuel ratio based on a discrete time based controlled object model which has a variable associated with time-series data of a value indicative of the target air/fuel ratio and time-series data of a value indicative of the output of the air/fuel ratio sensing means in accordance with the one modulation algorithm; and sequentially identify model parameters of the discrete time based controlled object model.
This preferred embodiment of the engine control unit provides the same advantageous effects provided by the corresponding preferred embodiment of the air/fuel ratio control apparatus.
Preferably, in the air/fuel ratio control apparatus for an internal combustion engine, the target air/fuel ratio calculating means calculates a predicted value of the value indicative of the output of the air/fuel ratio sensing means based on the prediction algorithm which applies the controlled object model, and calculates the target air/fuel ratio based on the calculated prediction value in accordance with the one modulation algorithm.
According to this preferred embodiment of the air/fuel ratio control apparatus for an internal combustion engine, the predicted value of the value indicative of the output of the air/fuel ratio sensing means is calculated in accordance with the prediction algorithm which applies the controlled object model, and the target air/fuel ratio is calculated based on the calculated prediction value in accordance with the one modulation algorithm. In this event, since the dynamic characteristics of the controlled object model can be fitted to the dynamic characteristics of the actual controlled object by using the model parameters which have been identified as described above, the predicted value can be calculated as a value which reflects the actual dynamic characteristics of the controlled object through a calculation in accordance with the prediction algorithm which applies the controlled object model. Consequently, the air/fuel ratio control apparatus for an internal combustion engine of the present invention can more accurately correct slippage in control timing between the input and output in the air/fuel ratio control.
Preferably, in the air/fuel ratio control method for an internal combustion engine described above, the step of calculating a target air/fuel ratio includes calculating a predicted value of the value indicative of the output of the air/fuel ratio sensing means based on the prediction algorithm which applies the controlled object model; and calculating the target air/fuel ratio based on the calculated prediction value in accordance with the one modulation algorithm.
This preferred embodiment of the air/fuel ratio control method provides the same advantageous effects provided by the corresponding preferred embodiment of the air/fuel ratio control apparatus.
Preferably, in the engine control unit described above, the control program causes the computer to calculate a predicted value of the value indicative of the output of the air/fuel ratio sensing means based on the prediction algorithm which applies the controlled object model; and calculate the target air/fuel ratio based on the calculated prediction value in accordance with the one modulation algorithm.
This preferred embodiment of the engine control unit provides the same advantageous effects provided by the corresponding preferred embodiment of the air/fuel ratio control apparatus.
Preferably, the air/fuel ratio control apparatus for an internal combustion engine further comprises operating condition parameter detecting means for detecting an operating condition parameter indicative of an operating condition of the internal combustion engine, wherein the target air/fuel ratio setting means includes target air/fuel ratio calculating means for calculating the target air/fuel ratio based on a controlled object model which has a variable associated with a value indicative of the output of the air/fuel ratio sensing means and a variable associated with a value indicative of the target air fuel ratio in accordance with the one modulation algorithm; and model parameter setting means for setting model parameters for the controlled object model in accordance with the operating condition parameter detected by the operating condition parameter detecting means.
According to this preferred embodiment of the air/fuel ratio control apparatus for an internal combustion engine, the target air/fuel ratio is calculated based on a controlled object model which has a variable associated with the value indicative of the output of the air/fuel ratio sensing means and a variable indicative of the target air/fuel ratio in accordance with the one modulation algorithm, and model parameters for the controlled object model are set in accordance with the operating condition parameter detected by the operating condition parameter detecting means, so that the dynamic characteristics of the controlled object model can be rapidly fitted to the dynamic characteristics of the actual controlled object. Consequently, the air/fuel ratio control apparatus for an internal combustion engine of the present invention can rapidly and accurately correct slippage in control timing between the input and output in the air/fuel ratio control.
Preferably, the air/fuel ratio control method for an internal combustion engine described above, further comprises the step of detecting an operating condition parameter indicative of an operating condition of the internal combustion engine, wherein the step of setting a target air/fuel ratio includes calculating the target air/fuel ratio based on a controlled object model which has a variable associated with a value indicative of the output of the air/fuel ratio sensing means and a variable associated with a value indicative of the target air fuel ratio in accordance with the one modulation algorithm; and setting model parameters for the controlled object model in accordance with the detected operating condition parameter.
This preferred embodiment of the air/fuel ratio control method provides the same advantageous effects provided by the corresponding preferred embodiment of the air/fuel ratio control apparatus.
Preferably, in the engine control unit described above, the control program causes the computer to detect an operating condition parameter indicative of an operating condition of the internal combustion engine; calculate the target air/fuel ratio based on a controlled object model which has a variable associated with a value indicative of the output of the air/fuel ratio sensing means and a variable associated with a value indicative of the target air fuel ratio in accordance with the one modulation algorithm; and set model parameters for the controlled object model in accordance with the detected operating condition parameter.
This preferred embodiment of the engine control unit provides the same advantageous effects provided by the corresponding preferred embodiment of the air/fuel ratio control apparatus.
Preferably, in the air/fuel ratio control apparatus for an internal combustion engine, the target air/fuel ratio calculating means calculates a predicted value of the value indicative of the output of the air/fuel ratio sensing means based on the prediction algorithm which applies the controlled object model, and calculates the target air/fuel ratio based on the calculated prediction value in accordance with the one modulation algorithm.
According to this preferred embodiment of the air/fuel ratio control apparatus for an internal combustion engine, the predicted value of the value indicative of the output of the air/fuel ratio sensing means is calculated in accordance with the prediction algorithm which applies the controlled object model, and the target air/fuel ratio is calculated based on the calculated prediction value in accordance with the one modulation algorithm. In this event, since the dynamic characteristics of the controlled object model can be rapidly fitted to the dynamic characteristics of the actual controlled object by using the model parameters which are set as described above, the predicted value can be rapidly calculated as a value which reflects the actual dynamic characteristics of the controlled object through a calculation in accordance with the prediction algorithm which applies the controlled object model. Consequently, the air/fuel ratio control apparatus for an internal combustion engine of the present invention can more accurately correct slippage in control timing between the input and output in the air/fuel ratio control.
Preferably, in the air/fuel ratio control method for an internal combustion engine described above, the step of calculating a target air/fuel ratio includes calculating a predicted value of the value indicative of the output of the air/fuel ratio sensing means based on the prediction algorithm which applies the controlled object model; and calculating the target air/fuel ratio based on the calculated prediction value in accordance with the one modulation algorithm.
This preferred embodiment of the air/fuel ratio control method provides the same advantageous effects provided by the corresponding preferred embodiment of the air/fuel ratio control apparatus.
Preferably, in the engine control unit described above, the control program causes the computer to calculate a predicted value of the value indicative of the output of the air/fuel ratio sensing means based on the prediction algorithm which applies the controlled object model; and calculate the target air/fuel ratio based on the calculated prediction value in accordance with the one modulation algorithm.
This preferred embodiment of the engine control unit provides the same advantageous effects provided by the corresponding preferred embodiment of the air/fuel ratio control apparatus.
Preferably, the air/fuel ratio control apparatus for an internal combustion engine further comprises load parameter detecting means for detecting a load parameter indicative of a load on the internal combustion engine, wherein the target air/fuel ratio setting means sets the predetermined amplitude in accordance with the load parameter detected by the load parameter detecting means.
According to this preferred embodiment of the air/fuel ratio control apparatus for an internal combustion engine, since the amplitude over which the target air/fuel ratio fluctuates is set in accordance with the load parameter indicative of the load on the internal combustion engine, the amplitude can be set for the target air/fuel ratio while the responsibility of the output of the air/fuel ratio sensing means is compensated for a change associated with a varying load. In this manner, the amplitude can be appropriately set for the target air/fuel ratio while avoiding an over gain condition associated with a varying load on the internal combustion engine, thereby ensuring a satisfactory exhaust gas purification percentage.
Preferably, the air/fuel ratio control method for an internal combustion engine described above further comprises the step of detecting a load parameter indicative of a load on the internal combustion engine, wherein the step of setting a target air/fuel ratio includes setting the predetermined amplitude in accordance with the detected load parameter.
This preferred embodiment of the air/fuel ratio control method provides the same advantageous effects provided by the corresponding preferred embodiment of the air/fuel ratio control apparatus.
Preferably, in the engine control unit described above, the control program causes the computer to detect a load parameter indicative of a load on the internal combustion engine; and set the predetermined amplitude in accordance with the detected load parameter.
This preferred embodiment of the engine control unit provides the same advantageous effects provided by the corresponding preferred embodiment of the air/fuel ratio control apparatus.



BRIEF DESCRIPTION OF THE DRAWINGS
FIG. 1 is a block diagram generally illustrating an air/fuel ratio control apparatus according to a first embodiment of the present invention, and an internal combustion engine which applies the air/fuel ratio control apparatus;
FIG. 2 is a graph showing an exemplary result of measurements made with a deteriorated and a normal first catalyzer for HC and NOx purification percentages of both first catalyzers and an output Vout of an O2 sensor 15, with respect to an output KACT of an LAF sensor, respectively;
FIG. 3 is a block diagram illustrating the configuration of an ADSM controller and a PRISM controller in the air/fuel ratio control apparatus according to first embodiment;
FIG. 4 shows a set of exemplary equations which express a prediction algorithm for a state predictor;
FIG. 5 shows a set of exemplary equations which express an identification algorithm for an on-board identifier;
FIG. 6 shows another set of exemplary equations which express an identification algorithm for the on-board identifier;
FIG. 7 is a block diagram illustrating the configuration of a controller for executing a ΔΣ modulation algorithm, and a control system which comprises the controller;
FIG. 8 is a timing chart showing an exemplary result of the control conducted by the control system in FIG. 7;
FIG. 9 is a timing chart for explaining the principles of an adaptive prediction type ΔΣ modulation control conducted by the ADSM controller in the first embodiment;
FIG. 10 is a block diagram illustrating the configuration of a DSM controller in the ADSM controller;
FIG. 11 shows equations which express a sliding mode control algorithm;
FIG. 12 shows equations which express a sliding mode control algorithm for the PRISM controller;
FIG. 13 is a flow chart illustrating a routine for executing fuel injection control processing for an internal combustion engine;
FIGS. 14 and 15 are flow charts illustrating in combination a routine for executing an adaptive air/fuel ratio control processing;
FIG. 16 is a flow chart illustrating a routine for executing launch determination processing at step 21 in FIG. 14;
FIG. 17 is a flow chart illustrating a routine for executing PRISM/ADSM processing execution determination processing at step 23 in FIG. 14;
FIG. 18 is a flow chart illustrating a routine for executing the processing for determining whether or not the identifier should execute its operation at step 24 in FIG. 14;
FIG. 19 is a flow chart illustrating a routine for executing the processing for calculating a variety of parameters at step 25 in FIG. 14;
FIG. 20 shows an exemplary table for use in calculating dead times CAT_DELAY, KACT_D;
FIG. 21 shows an exemplary table for use in calculating a weighting parameter λ1;
FIG. 22 shows an exemplary table for use in calculating limit values X_IDA2L, X_IDB1L, X_IDB1H for limiting ranges of model parameters a1, a2, b1;
FIG. 23 shows an exemplary table for use in calculating a filter order n;
FIG. 24 is a flow chart illustrating a routine for executing the operation of the identifier at step 31 in FIG. 14;
FIG. 25 is a flow chart illustrating a routine for executing θ(k) stabilization processing at step 94 in FIG. 24;
FIG. 26 is a flow chart illustrating a routine for executing the processing for limiting identified values a1′ and a2′ at step 101 in FIG. 25;
FIG. 27 is a diagram showing a restriction range in which a combination of the identified values a1′ and a2′ is restricted by the processing of FIG. 26;
FIG. 28 is a flow chart illustrating a routine for executing the processing for limiting an identified value b1′ at step 102 in FIG. 25;
FIG. 29 is a flow chart illustrating the operation performed by the state predictor at step 33 in FIG. 15;
FIG. 30 is a flow chart illustrating a routine for executing the processing for calculating a control amount Usl at step 34 in FIG. 15;
FIG. 31 is a flow chart illustrating a routine for executing the processing for calculating an integrated value of a prediction switching function σPRE at step 151 in FIG. 30;
FIGS. 32 and 33 are flow charts illustrating in combination a routine for executing the processing for calculating a sliding mode control amount DKCMDSLD at step 36 in FIG. 15;
FIG. 34 is a flow chart illustrating a routine for executing the processing for calculating a ΔΣ modulation control amount DKCMDDSM at step 37 in FIG. 15;
FIG. 35 shows an exemplary table for use in calculating a gain KDSM;
FIG. 36 is a flow chart illustrating a routine for executing the processing for calculating an adaptive target air/fuel ratio KCMDSLD at step 38 in FIG. 15;
FIG. 37 is a timing chart showing an exemplary operation in the air/fuel ratio control when the target air/fuel ratio KCMD is calculated by the ADSM processing;
FIG. 38 is a graph showing the relationship between the fluctuating frequency for the target air/fuel ratio KCMD and the exhaust gas purification percentage;
FIG. 39 is a flow chart illustrating a routine for executing the processing for calculating an adaptive correction term FLAFADP at step 39 in FIG. 15;
FIG. 40 is a block diagram generally illustrating the configuration of an air/fuel ratio control apparatus according to a second embodiment;
FIG. 41 is a block diagram generally illustrating the configuration of an air/fuel ratio control apparatus according to a third embodiment;
FIG. 42 is a block diagram generally illustrating the configuration of an air/fuel ratio control apparatus according to a fourth embodiment;
FIG. 43 shows an exemplary table for use in calculating model parameters in a parameter scheduler in the air/fuel ratio control apparatus according to the fourth embodiment;
FIG. 44 is a block diagram generally illustrating the configuration of an SDM controller in an air/fuel ratio control apparatus according to a fifth embodiment;
FIG. 45 is a block diagram generally illustrating the configuration of a DM controller in an air/fuel ratio control apparatus according to a sixth embodiment;
FIG. 46 is a block diagram generally illustrating an air/fuel ratio control apparatus according to a seventh embodiment, and an internal combustion engine which applies this air/fuel ratio control apparatus;
FIG. 47 is a block diagram generally illustrating the configuration of the air/fuel ratio control apparatus according to the seventh embodiment; and
FIG. 48 is a block diagram generally illustrating the configuration of an air/fuel ratio control apparatus according to an eighth embodiment.



DETAILED DESCRIPTION OF THE EMBODIMENTS
In the following, an air/fuel ratio control apparatus according to a first embodiment of the present invention will be described with reference to the accompanying drawings. FIG. 1 generally illustrates the configuration of the air/fuel ratio control apparatus 1 according to the first embodiment, and an internal combustion engine (hereinafter called the “engine”) 3 which applies this air/fuel ratio control apparatus 1. As illustrated, the air/fuel ratio control apparatus 1 comprises an electronic control unit (ECU) 2 which controls the air/fuel ratio of an air/fuel mixture supplied to the engine 3 in accordance with an operating condition thereof, as will be later described.
The engine 3 is an in-line four-cylinder gasoline engine equipped in a vehicle, not shown, and has four, a first to a fourth cylinder #1–#4. A throttle valve opening sensor 10, for example, comprised of a potentiometer or the like, is provided near a throttle valve 5 in an intake pipe 4 of the engine 3. The throttle valve opening sensor 10 detects an opening θTH of the throttle valve 5 (hereinafter called the “throttle valve opening”), and sends a detection signal indicative of the throttle valve opening θTH to the ECU 2.
An absolute intake pipe inner pressure sensor 11 is further provided at a location of the intake pipe 4 downstream of the throttle valve 5. The absolute intake pipe inner pressure sensor 11, which implements operating condition parameter detecting means and load parameter detecting means, is comprised, for example, of a semiconductor pressure sensor or the like for detecting an absolute intake pipe inner pressure PBA within the intake pipe 4 to output a detection signal indicative of the absolute intake pipe inner pressure PBA to the ECU 2.
The intake pipe 4 is connected to the four cylinders #1–#4, respectively, through four branches 4b of an intake manifold 4a. An injector 6 is attached to each of the branches 4b at a location upstream of an intake port, not shown of each cylinder. Each injector 6 is controlled by a driving signal from the ECU 2 in terms of a final fuel injection amount TOUT, which indicates a valve opening time, and an injection timing when the engine 3 is in operation.
A water temperature sensor 12 comprised, for example, of a thermistor or the like is attached to the body of the engine 3. The water temperature sensor 12 detects an engine water temperature TW, which is the temperature of cooling water that circulates within a cylinder block of the engine 3, and outputs a detection signal indicative of the engine water temperature TW to the ECU 2.
A crank angle sensor 13 is mounted on a crank shaft (not shown) of the engine 3. The crank angle sensor 13, which implements operating condition parameter detecting means and load parameter detecting means, outputs a CRK signal and a TDC signal, both of which are pulse signals, to the ECU 2 as the crank shaft is rotated.
The CRK signal generates one pulse every predetermined crank angle (for example, 30°). The ECU 2 calculates a rotational speed NE of the engine 3 (hereinafter called the “engine rotational speed”) in response to the CRK signal. The TDC signal in turn indicates that a piston (not shown) of each cylinder is present at a predetermined crank angle position which is slightly in front of a TDC (top dead center) position in an intake stroke, and generates one pulse every predetermined crank angle.
At locations downstream of an exhaust manifold 7a in an exhaust pipe 7 (exhaust passage), a first and a second catalyzer 8a, 8b (catalysts) are provided in this order from the upstream side, spaced apart from each other. Each catalyzer 8a, 8b is a combination of an NOx catalyst and a three-way catalyst. Though not shown, the NOx catalyst is made up of an iridium catalyst (a sintered product of iridium supported on silicon carbide whisker powder, and silica) coated on the surface of a base material in honeycomb structure, and a perovskite double oxide (a sintered product of LaCoO3 powder and silica) further coated on the iridium catalyst. The catalyzers 8a, 8b purify NOx in exhaust gases during a lean burn operation through oxidation/reduction actions of the NOx catalyst, and purify CO, HC and NOx in exhaust gases during an operation other than the lean burn operation through oxidation/reduction actions of the three-way catalyst. It should be noted that both catalyzers 8a, 8b are not limited to a combination of NOx catalyst and three-way catalyst, but may be made of any material as long as it can purify CO, HC and NOx in exhaust gases. For example, the catalyzers 8a, 8b may be made of a non-metal catalyst such as a perovskite catalyst and the like, and/or a metal-based catalyst such as a three-way catalyst and the like.
An oxygen concentration sensor (hereinafter called the “O2 sensor) 15 is mounted between the first and second catalyzers 8a, 8b. The O2 sensor 15 (which implements a downstream air/fuel ratio sensor) is made of zirconium, a platinum electrode, and the like, and sends an output Vout to the ECU 2 based on the oxygen concentration in exhaust gases downstream of the first catalyzer 8a. The output Vout of the O2 sensor 15 goes to a voltage value at high level (for example, 0.8 V) when an air/fuel mixture richer than the stoichiometric air/fuel ratio is burnt, and goes to a voltage value at low level (for example, 0.2 V) when the air/fuel mixture is lean. Also, the output Vout goes to a predetermined target value Vop (for example, 0.6 V) between the high level and low level when the air/fuel mixture is near the stoichiometric air/fuel ratio (see FIG. 2).
An LAF sensor (upstream air/fuel ratio sensor) 14 is mounted near a junction of the exhaust manifold 7a upstream of the first catalyzer 8a. The LAF sensor 14 is comprised of a sensor similar to the O2 sensor 15, and a detecting circuit such as a linearizer in combination for linearly detecting an oxygen concentration in exhaust gases over a wide range of the air/fuel ratio extending from a rich region to a lean region to send an output KACT proportional to the detected oxygen concentration to the ECU 2. The output KACT is represented as an equivalent ratio proportional to an inverse of the air/fuel ratio.
Next, referring to FIG. 2, description will be made on the relationship between an exhaust gas purifying percentage provided by the first catalyzer 8a and the output Vout (voltage value) of the O2 sensor 15. FIG. 2 shows exemplary results of measuring the HC and NOx purifying percentage provided by the first catalyzer 8a and the output Vout of the O2 sensor 15 when the output KACT of the LAF sensor 14, i.e., the air/fuel ratio of an air/fuel mixture supplied to the engine 3 varies near the stoichiometric air/fuel ratio, for two cases where the first catalyzer 8a is deteriorated due to a long-term use and therefore has degraded capabilities of purifying, and where the first catalyzer 8a is not deteriorated and therefore has high capabilities of purifying. In FIG. 2, data indicated by broken lines show the results of measurements when the first catalyzer 8a is not deteriorated, and data indicated by solid lines show the results of measurements when the first catalyzer 8a is deteriorated. FIG. 2 also shows that the air/fuel ratio of the air/fuel mixture is richer as the output KACT of the LAF sensor 14 is larger.
As shown in FIG. 2, when the first catalyzer 8a is deteriorated, its capabilities of purifying exhaust gases are degraded, as compared with the one not deteriorated, so that the output Vout of the O2 sensor 15 crosses the target value Vop when the output KACT of the LAF sensor 14 is at a value KACT1 deeper in a lean region. On the other hand, the first catalyzer 8a has the characteristic of most efficiently purifying HC and NOx when the output Vout of the O2 sensor 15 is at the target value Vop, irrespective of whether the first catalyzer 8a is deteriorated or not. It is therefore appreciated that exhaust gases can be most efficiently purified by the first catalyzer 8a by controlling the air/fuel ratio of the air/fuel mixture to bring the output Vout of the O2 sensor 15 to the target value Vop. For this reason, in the air/fuel ratio control later described, a target air/fuel ratio KCMD is controlled such that the output Vout of the O2 sensor 15 converges to the target value Vop.
The ECU 2 is further connected to an accelerator opening sensor 16, an atmospheric pressure sensor 17, an intake air temperature sensor 18, a vehicle speed sensor 19, and the like. The accelerator opening sensor 16 detects an amount AP by which the driver treads on an accelerating pedal, not shown, of the vehicle (hereinafter called the “accelerator opening”), and outputs a detection signal indicative of the accelerator opening AP to the ECU 2. Likewise, the atmospheric pressure sensor 17, intake air temperature sensor 18 and vehicle speed sensor 19 detect the atmospheric pressure PA, an intake air temperature TA, and a vehicle speed VP, respectively, and output detection signals indicative of the respective detected values to the ECU 2.
The following description will focus on the ECU 2 which implements target air/fuel ratio setting means, air/fuel ratio control means, predicted value calculating means, target air/fuel ratio calculating means, identifying means, operating condition parameter detecting means, model parameter setting means, and load parameter detecting means.
The ECU 2 is based on a microcomputer which comprises an I/O interface, a CPU, a RAM, a ROM, and the like. The ECU 2 determines an operating condition of the engine 3 in accordance with the outputs of the variety of sensors 10–19 mentioned above, and calculates the target air/fuel ratio KCMD by executing adaptive air/fuel ratio control processing or map search processing, later described, in accordance with a control program previously stored in the ROM and data stored in the RAM (the target air/fuel ratio KCMD is calculated as an equivalent ratio proportional to the inverse of the air/fuel ratio). Further, as will be described later, the ECU 2 calculates the final fuel injection amount TOUT of the injector 6 for each cylinder based on the calculated target air/fuel ratio KCMD, and drives the injector 6 using a driving signal based on the calculated final fuel injection amount TOUT to control the air/fuel ratio of the air/fuel mixture in a feedback mode such that the output KACT of the LAF sensor 14 becomes equal to the target air/fuel ratio KCMD.
As illustrated in FIG. 3, the air/fuel ratio control apparatus 1 comprises an ADSM controller 20 and a PRISM controller 21 for calculating the target air/fuel ratio KCMD. Specifically, both controllers 20, 21 are implemented by the ECU 2.
In the following, the ADSM controller 20 (target air/fuel ratio setting means) will be described. The ADSM controller 20 calculates the target air/fuel ratio KCMD for converging the output Vout of the O2 sensor 15 to the target value Vop in accordance with a control algorithm of adaptive prediction ΔΣ modulation control (hereinafter abbreviated as “ADSM”), later described. The ADSM controller 20 comprises a state predictor 22, an on-board identifier 23, and a DSM controller 24. A specific program for executing the ADSM processing will be described later.
Description will first be made on the state predictor 22 (which implements predicted value calculating means and target air/fuel ratio calculating means). The state predictor 22 predicts (calculates) a predicted value PREVO2 of an output deviation VO2 in accordance with a prediction algorithm, later described. Assume, in this embodiment, that a control input to a controlled object is the target air/fuel ratio KCMD of an air/fuel mixture; the output of the controlled object is the output Vout of the O2 sensor 15; and the controlled object is a system from an intake system of the engine 3 including the injectors 6 to the O2 sensor 15 downstream of the first catalyzer 8a in an exhaust system including the first catalyzer 8a. Then, this controlled object is modelled, as expressed by the following equation (1), as an ARX model (auto-regressive model with exogenous input) which is a discrete time based model.

VO2(k)=a1·VO2(k−1)+a2·VO2(K−2)+b1·DKCMD(k−dt)  (1)

where VO2 represents an output deviation which is a deviation (Vout−Vop) between the output Vout of the O2 sensor 15 and the aforementioned target value Vop; DKCMD represents an air/fuel ratio deviation which is a deviation (KCMD−FLAFBASE) between a target air/fuel ratio KCMD (=φop) and a reference value FLAFBASE; and a character k represents the order of each data in a sampling cycle. The reference value FLAFBASE is set to a predetermined fixed value. Model parameters a1, a2, b1 are sequentially identified by the on-board identifier 23 in a manner described below.

dt in the equation (1) represents a prediction time period from the time at which an air/fuel mixture set at the target air/fuel ratio KCMD is supplied to the intake system by the injectors 6 to the time at which the target air/fuel ratio KCMD is reflected to the output Vout of the O2 sensor 15, and is defined by the following equation (2):

dt=d+d′+dd  (2)

where d represents a dead time in the exhaust system from the LAF sensor 14 to the O2 sensor 15; d′, a dead time in an air/fuel ratio manipulation system from the injectors 6 to the LAF sensor 14; and dd represents a phase delay time between the exhaust system and air/fuel ratio manipulation system, respectively (it should be noted that in a control program for the adaptive air/fuel ratio control processing, later described, the phase delay time dd is set to zero (dd=0) for calculating the target air/fuel ratio KCMD while switching between the ADSM processing and PRISM processing).

The controlled object model is comprised of time series data of the output deviation VO2 (the value indicative of the output of downstream air/fuel ratio sensing means, and the value indicative of the output of air/fuel ratio sensing means) and the air/fuel ratio deviation DKCMD (the value indicative of the target air/fuel ratio) as described above for the reason set forth below. It is generally known in a controlled object model that the dynamic characteristic of the controlled object model can be fitted more closely to the actual dynamic characteristic of the controlled object when a deviation of input/output of the controlled object from a predetermined value is defined as a variable representative of the input/output than when an absolute value of the input/output is defined as a variable, because it can more precisely identify or define model parameters. Therefore, as is done in the air/fuel ratio control apparatus 1 of this embodiment, when the controlled object model is comprised of the time series data of the output deviation VO2 and the air/fuel ratio deviation DKCMD, the dynamic characteristic of the controlled object model can be fitted more closely to the actual dynamic characteristic of the controlled object, as compared with the case where absolute values of the output Vout of the O2 sensor 15 and target air/fuel ratio KCMD are chosen as variables, thereby making it possible to calculate the predicted value PREVO2 with a higher accuracy.
The predicted value PREVO2 in turn shows a predicted output deviation VO2(k+dt) after the lapse of the prediction time period dt from the time at which the air/fuel mixture set at the target air/fuel ratio KCMD has been supplied to the intake system. When an equation for calculating the predicted value PREVO2 is derived based on the aforementioned equation (1), the following equation (3) is defined:

PREVO2(k)≈VO2(k+dt)=a1·VO2(k+dt−1)+a2·VO2(k+dt−2)+b1·DKCMD(k)  (3)

In this equation (3), it is necessary to calculate VO2(k+dt−1), VO2(k+dt−2) corresponding to future values of the output deviation VO2(k), so that actual programming of the equation (3) is difficult. Therefore, matrixes A, B are defined using the model parameters a1, a2, b1, as equations (4), (5) shown in FIG. 4, and a recurrence formula of the equation (3) is repeatedly used to transform the equation (3) to derive equation (6) shown in FIG. 4. When the equation (6) is used as a prediction algorithm, i.e., an equation for calculating the predicted value PREVO2, the predicted value PREVO2 is calculated from the output deviation VO2 and air/fuel ratio deviation DKCMD.
Next, when an LAF output deviation DKACT (the value indicative of the output of upstream air/fuel ratio sensing means) is defined as a deviation (KACT−FLAFBASE) between the output KACT (=φin) of the LAF sensor 14 and the reference value FLAFBASE, a relationship expressed by DKACT(k)=DKCMD(k−d′) is established. Equation (7) shown in FIG. 4 is derived by applying this relationship to the equation (6) in FIG. 4.
The target air/fuel ratio KCMD can be calculated while appropriately compensating for a response delay and a dead time between the input/output of the controlled object by calculating the target air/fuel ratio KCMD using the predicted value PREVO2 calculated by the foregoing equation (6) or (7), as will be described later. Particularly, when the equation (7) is used as the prediction algorithm, the predicted value PREVO2 is calculated from the output deviation VO2, LAF output deviation DKACT and target air/fuel ratio KCMD, so that the predicted value PREVO2 can be calculated as a value which reflects the air/fuel ratio of exhaust gases actually supplied to the first catalyzer 8a, thereby improving the calculation accuracy, i.e., the prediction accuracy more than when the equation (6) is used. Also, if d′ can be regarded to be smaller than 1 (d′≦1) when the equation (7) is used, the predicted value PREVO2 can be calculated only from the output deviation VO2 and LAF output deviation DKACT without using the air/fuel ratio deviation DKCMD. In this embodiment, since the engine 3 is provided with the LAF sensor 14, the equation (7) is employed as the prediction algorithm.
The controlled object model expressed by the equation (1) can be defined as a model which employs the output deviation VO2 and LAF output deviation DKACT as variables by applying a relationship expressed by DKACT(k)=DKCMD(k−d′) to the equation (1).
Next, description will be made on the on-board identifier 23 (identifying means). The on-board identifier 23 identifies (calculates) the model parameters a1, a2, b1 in the aforementioned equation (1) in accordance with a sequential identification algorithm described below. Specifically, a vector θ(k) for model parameters is calculated by equations (8), (9) shown in FIG. 5. In the equation (8) in FIG. 5, KP(k) is a vector for a gain coefficient, and ide_f(k) is an identification error filter value. In the equation (9), θ(k)T represents a transposed matrix of θ(k), and a1′(k), a2′(k) and b1′(k) represent model parameters before they are limited in range in limit processing, later described. In the following description, the term “vector” is omitted if possible.
An identification error filter value ide_f(k) in the equation (8) is derived by applying moving average filtering processing expressed by equation (10) in FIG. 5 to an identification error ide(k) calculated by equations (11)–(13) shown in FIG. 5. n in the equation (10) in FIG. 5 represents the order of filtering (an integer equal to or larger than one) in the moving average filtering processing, and VO2HAT(k) in the equation (12) represents an identified value of the output deviation VO2.
The identification error filter value ide_f(k) is used for the reason set forth below. Specifically, the controlled object in this embodiment has the target air/fuel ratio KCMD as a control input, and the output Vout of the O2 sensor 15 as the output of the controlled object. The controlled object also has a low pass frequency characteristic. In such a controlled object having the low pass characteristic, model parameters are identified while the high frequency characteristic of the controlled object is emphasized due to a frequency weighting characteristic of the identification algorithm of the on-board identifier 23, more specifically, a weighted least-square algorithm, later described, so that the controlled object model tends to have a lower gain characteristic than the actual gain characteristic of the controlled object. As a result, when the ADSM processing or PRISM processing is executed by the air/fuel ratio control apparatus 1, the control system can diverge and therefore become instable due to an excessive gain possibly resulting from the processing.
Therefore, in this embodiment, the air/fuel ratio control apparatus 1 appropriately corrects the weighted least-square algorithm for the frequency weighting characteristic, and uses the identification error filter value ide_f(k) applied with the moving average filtering processing for the identification error ide(k), as well as sets the filter order n of the moving average filtering processing in accordance with an exhaust gas volume AB_SV in order to match the gain characteristic of the controlled object model with the actual gain characteristic of the controlled object, as will be later described.
Further, the vector KP(k) for the gain coefficient in the equation (8) in FIG. 5 is calculated by equation (14) in FIG. 5. P(k) in the equation 31 is a third-order square matrix as defined by equation (15) in FIG. 5.
In the identification algorithm described above, one is selected from the following four identification algorithms by setting weighting parameters λ1, λ2 in the equation (15):

    
    
        λ1=1, λ2=0: Fixed Gain Algorithm;
        λ1=1, λ2=1: Least-Square Algorithm;
        λ1=1, λ2=λ: Gradually Reduced Gain Algorithm; and
        λ1=λ, λ2=1: Weighted Least-Square Algorithm.

where λ is a predetermined value set in a range of 0<λ<1.

    
    


This embodiment employs the weighted least-square algorithm from among the four identification algorithms. This is because the weighted least-square algorithm can appropriately set an identification accuracy, and a rate at which a model parameter converges to an optimal value, by setting the weighting parameter λ1 in accordance with an operating condition of the engine 3, more specifically, the exhaust gas volume AB_SV. For example, when the engine 3 is lightly loaded in operation, a high identification accuracy can be ensured by setting the weighting parameter λ1 to a value close to one in accordance with this operating condition, i.e., by setting the algorithm close to the least-square algorithm. On the other hand, when the engine 3 is heavily loaded in operation, the model parameter can be rapidly converged to an optimal value by accordingly setting the weighting parameter λ1 to a value smaller than that during the low load operation. By setting the weighting parameter λ1 in accordance with the exhaust gas volume AB_SV in the foregoing manner, it is possible to appropriately set the identification accuracy, and the rate at which the model parameter converges to an optimal value, thereby improving the characteristics of exhaust gases purified by the catalyzers 8a, 8b, i.e., the post-catalyst exhaust gas characteristic.
When the aforementioned relationship, DKACT(k)=DKCMD(k−d′) is applied in the identification algorithm expressed by the equations (8)–(15), an identification algorithm is derived as expressed by equations (16)–(23) shown in FIG. 6. In the second embodiment, since the engine 3 is provided with the LAF sensor 14, these equations (16)–(23) are employed. When these equations (16)–(23) are employed, the model parameter can be identified as a value which more reflects the air/fuel ratio of exhaust gases actually fed to the first catalyzer 8a to a higher degree, for the reason set forth above, and accordingly, the model parameter can be identified with a higher accuracy than when using the identification algorithm expressed by the equations (8)–(15).
Also, the on-board identifier 23 applies the limit processing, later described, to the model parameters a1′(k), a2′(k), b1′(k) calculated by the foregoing identification algorithm to calculate the model parameters a1(k), a2(k), b1(k). Further, the aforementioned state predictor 22 calculates the predicted value PREVO2 based on the model parameters a1(k), a2(k), b1(k) after they have been limited in range in the limit processing.
Next, the DSM controller (target air/fuel ratio calculating means) 24 will be described. The DSM controller 24 generates (calculates) the control input φop(k) (=target air/fuel ratio KCMD) in accordance with a control algorithm applied with the ΔΣ modulation algorithm, based on the predicted value PREVO2 calculated by the state predictor 22, and inputs the calculated control input φop(k) to the controlled object to control the output Vout of the O2 sensor 15, as the output of the controlled object, such that it converges to the target value Vop.
First, a general ΔΣ modulation algorithm will be described with reference to FIG. 7. FIG. 7 illustrates the configuration of a control system which controls a controlled object 27 by a controller 26 to which the ΔΣ modulation algorithm is applied. As illustrated, in the controller 26, a subtractor 26a generates a deviation signal δ(k) as a deviation between a reference signal r(k) and a DSM signal u(k−1) delayed by a delay element 26b. Next, an integrator 26c generates an integrated deviation value σd(k) as a signal indicative of the sum of the deviation signal δ(k) and an integrated deviation value σd(k−1) delayed by a delay element 26d. Next, a quantizer 26e (sign function) generates a DSM signal u(k) as a sign of the integrated deviation value σd(k). Consequently, the DSM signal u(k) thus generated is inputted to the controlled object 27 which responsively delivers an output signal y(k).
The foregoing ΔΣ modulation algorithm is expressed by the following equations (24)–(26):

δ(k)=r(k)−u(k−1)  (24)

σd(k)=σd(k−1)+δ(k)  (25)

u(k)=sgn(σd(k))  (26)

where the value of the sign function sgn(σd(k)) takes 1 (sgn(σd(k))=1) when σd(k)≧0, and −1 (sgn(σd(k))=−1) when σd(k)<0 (sgn(σd(k)) may be set to zero (sgn(σd(k))=0) when σd(k)=0).

In summary, in the ΔΣ modulation algorithm, the DSM signal u(k) is set to 1 when the integrated deviation value σd(k) is equal to or more than zero, and to −1 when the integrated deviation value σd(k) is less than zero.
FIG. 8 shows the result of control simulation performed for the foregoing control system. As shown, when the sinusoidal reference signal r(k) is inputted to the control system, the DSM signal u(k) is generated as a square-wave signal and is fed to the controlled object 27 which responsively outputs the output signal y(k) which has a different amplitude from and the same frequency as the reference signal r(k), and is generally in a similar waveform though noise is included. As described, the ΔΣ modulation algorithm is characterized in that the DSM signal u(k) can be generated when the controlled object 27 is fed with the DSM signal u(k) generated from the reference signal r(k) such that the controlled object 27 generates the output y(k) which has a different amplitude from and the same frequency as the reference signal r(k) and is generally similar in waveform to the reference signal r(k). In other words, the ΔΣ modulation algorithm is characterized in that the DSM signal u(k) can be generated (calculated) such that the reference signal r(k) is reproduced in the actual output y(k) of the controlled object 27.
The DSM controller 24 takes advantage of such characteristic of the ΔΣ modulation algorithm to calculate the control input φop(k) for converging the output Vout of the O2 sensor 15 to the target value Vop. Describing the principles of the calculation, when the output deviation VO2 fluctuates with respect to the value of zero, for example, as indicated by a one-dot chain line in FIG. 9 (i.e., the output Vout of the O2 sensor 15 fluctuates with respect to the target value Vop), the control input φop(k) may be generated to produce an output deviation VO2* having an opposite phase waveform to cancel the output deviation VO2, as indicated by a broken line in FIG. 9, in order to converge the output deviation VO2 to zero (i.e., to converge the output Vout to the target value Vop).
However, as described above, the controlled object in this embodiment experiences a time delay equal to the prediction time period dt from the time at which the target air/fuel ratio KCMD is inputted to the controlled object as the control input φop(k) to the time at which it is reflected to the output Vout of the O2 sensor 15. Therefore, an output deviation VO2# derived when the control input φop(k) is calculated based on the current output deviation VO2 delays from the output deviation VO2*, as indicated by a solid line in FIG. 9, thereby causing slippage in control timing. To compensate the control timing for the slippage, the DSM controller 24 in the ADSM controller 20 according to this embodiment employs the predicted value PREVO2 of the output deviation VO2 to generate the control input φop(k) as a signal which generates an output deviation (an output deviation similar to the output deviation VO2* in opposite phase waveform) that cancels the current output deviation VO2 without causing the slippage in control timing.
Specifically, as illustrated in FIG. 10, an inverting amplifier 24a in the DSM controller 24 generates the reference signal r(k) by multiplying the value of −1, a gain Gd for the reference signal, and the predicted value PREVO2(k). Next, a subtractor 24b generates the deviation signal δ(k) as a deviation between the reference signal r(k) and a DSM signal u′′(k−1) delayed by a delay element 24c. 
Next, an integrator 24d generates the integrated deviation value σd(k) as the sum of the deviation signal δ(k) and an integrated deviation value σd(k−1) delayed by a delay element 24e. Then, a quantizer 24f (sign function) generates a DSM signal u′′(k) as a sign of the integrated deviation value σd(k). An amplifier 24g next generates an amplified DSM signal u(k) by amplifying the DSM signal u′′(k) by a predetermined gain Fd. Finally, an adder 24h adds the amplified DSM signal u(k) to a predetermined reference value FLAFBASE to generate the control input φop(k).
The control algorithm of the DSM controller 24 described above is expressed by the following equations (27)–(32):

r(k)=−1·Gd·PREVO2(k)  (27)

δ(k)=r(k)−u′′(k−1)  (28)

σd(k)=σd(k−1)+δ(k)  (29)

u′′(k)=sgn(σd(k))  (30)

u(k)=Fd·u′′(k)  (31)

φop(k)=FLAFBASE+u(k)  (32)

where Gd, Fd represents gains. The value of the sign function sgn(σd(k)) takes 1 (sgn(σd(k))=1) when σd(k)≧0, and −1 (sgn(σd(k))=−1) when σd(k)<0 (sgn(σd(k)) may be set to zero (sgn(σd(k))=0) when σd(k)=0).

The DSM controller 24 relies on the control algorithm expressed by the foregoing equations (27)–(32) to calculate the control input φop(k) as a value which generates the output deviation VO2* that cancels the output deviation VO2 without causing slippage in control timing, as described above. In other words, the DSM controller 24 calculates the control input φop(k) as a value which can converge the output Vout of the O2 sensor 15 to the target value Vop. Also, since the DSM controller 24 calculates the control input φop(k) by adding the amplified DSM signal u(k) to the predetermined reference value FLAFBASE, the resulting control input φop(k) not only inverts in the positive and negative directions about the value of zero, but also repeatedly increases and decreases about the reference value FLAFBASE. This can increase the degree of freedom for the control, as compared with a general ΔΣ modulation algorithm.
Next, the aforementioned PRISM controller 21 will be described with reference again to FIG. 3. The PRISM controller 21 relies on a control algorithm for on-board identification sliding mode control processing (hereinafter called the “PRISM processing”), later described, to calculate the target air/fuel ratio KCMD for converging the output Vout of the O2 sensor 15 to the target value Vop. The PRISM controller 21 comprises the state predictor 22, on-board identifier 23, and sliding mode controller (hereinafter called the “SLD controller”) 25. A specific program for executing the PRISM processing will be described later.
Since the state predictor 22 and on-board identifier 23 have been described in the PRISM controller 21, the following description will be centered on the SLD controller 25. The SLD controller 25 performs the sliding mode control based on the sliding mode control algorithm. In the following, a general sliding mode control algorithm will be described. Since the sliding mode control algorithm uses the aforementioned discrete time based model expressed by the equation (1) as a controlled object model, a switching function σ is set as a linear function of a time series data of the output deviation VO2 as expressed by the following equation (33):

σ(k)=S1·VO2(k)+S2·VO2(k−1)  (33)

where S1, S2 are predetermined coefficients which are set to satisfy a relationship represented by −1<(S2/S1)<1.

Generally, in the sliding mode control algorithm, when the switching function a is made up of two state variables (time series data of the output deviation VO2 in this embodiment), a phase space defined by the two state variables forms a two-dimensional phase plane in which the two state variables are represented by the vertical axis and horizontal axis, respectively, so that a combination of values of the two state variables satisfying σ=0 rests on a line called a “switching line.” Therefore, both the two state variables can be converged (slid) to a position of equilibrium at which the state variables take the value of zero by appropriately determining a control input to a controlled object such that a combination of the two state variables converges to (rests on) the switching line. Further, the sliding mode control algorithm can specify the dynamic characteristic, more specifically, convergence behavior and convergence rate of the state variables by setting the switching function σ. For example, when the switching function σ is made up of two state variables as in this embodiment, the state variables converge slower as the slope of the switching line is brought closer to one, and faster as it is brought closer to zero.
In this embodiment, as shown in the aforementioned equation (33), the switching function σ is made up of two time series data of the output deviation VO2, i.e., a current value VO2(k) and the preceding value VO2(k−1) of the output deviation VO2, so that the control input to the controlled object, i.e., the target air/fuel ratio KCMD may be set such that a combination of these current value VO2(k) and preceding vale VO2(k−1) of the output deviation VO2(k) is converged onto the switching line. Specifically, assuming that the sum of a control amount Usl(k) and the reference value FLAFBASE is equal to the target air/fuel ratio KCMD, the control amount Usl(k) for converging the combination of the current value VO2(k) and preceding value VO2(k−1) onto the switching line is set as a total sum of an equivalent control input Ueq(k), an reaching law input Urch(k), and an adaptive law input Uadp(k), as shown in equation (34) shown in FIG. 11, in accordance with an adaptive sliding mode control algorithm.
The equivalent control input Ueq(k) is provided for restricting the combination of the current value VO2(k) and preceding value VO2(k−1) of the output deviation VO2 on the switching line, and specifically is defined as equation (35) shown in FIG. 11. The reaching law input Urch(k) is provided for converging the combination of the current value VO2(k) and preceding value VO2(k−1) of the output deviation VO2 onto the switching line if it deviates from the switching line due to disturbance, a modelling error or the like, and specifically is defined as equation (36) shown in FIG. 11. In the equation (36), F represents a gain.
The adaptive law input Uadp(k) is provided for securely converging the combination of the current value VO2(k) and preceding value VO2(k−1) of the output deviation VO2 onto a switching hyperplane while preventing the influence of a steady-state deviation of the controlled object, a modelling error, and disturbance, and specifically defined as equation (37) shown in FIG. 11. In the equation (37), G represents a gain, and ΔT a control period, respectively.
As described above, the SLD controller 25 in the PRISM controller 21 according to this embodiment uses the predicted value PREVO2 instead of the output deviation VO2, so that the algorithm expressed by the equations (33)–(37) is rewritten to equations (38)–(42) shown in FIG. 12 for use in the control by applying a relationship expressed by PREVO2(k)≈VO2(k+dt). σPRE in the equation (38) represents the value of the switching function when the predicted value PREVO2 is used (hereinafter called the “prediction switching function”). In other words, the SLD controller 25 calculates the target air/fuel ratio KCMD by adding the control amount Usl(k) calculated in accordance with the foregoing algorithm to the reference value FLAFBASE.
In the following, the processing for calculating a fuel injection amount, executed by the ECU 2, will be described with reference to FIG. 13. In the following description, the symbol (k) indicative of the current value is omitted as appropriate. FIG. 13 illustrates a main routine of this control processing which is executed in synchronism with an inputted TDC signal as an interrupt. In this processing, the ECU 2 uses the target air/fuel ratio KCMD calculated in accordance with adaptive air/fuel ratio control processing or map search processing, later described, to calculate the fuel injection amount TOUT for each cylinder.
First at step 1 (abbreviated as “S1” in the figure. The same applies to subsequent figures), the ECU 2 reads outputs of the variety of aforementioned sensors 10–19, and stores the read data in the RAM.
Next, the routine proceeds to step 2, where the ECU 2 calculates a basic fuel injection amount Tim. In this processing, the ECU 2 searches a map, not shown, for the basic fuel injection amount Tim in accordance with the engine rotational speed NE and absolute intake pipe inner pressure PBA.
Next, the routine proceeds to step 3, where the ECU 2 calculates a total correction coefficient KTOTAL. For calculating the total correction coefficient KTOTAL, the ECU 2 searches a variety of tables and maps for a variety of correction coefficients in accordance with a variety of operating parameters (for example, the intake air temperature TA, atmospheric pressure PA, engine water temperature TW, accelerator opening AP, and the like), and multiplies these correction coefficients by one another.
Next, the routine proceeds to step 4, where the ECU 2 sets an adaptive control flag F_PRISMON. Though details of this processing are not shown in the figure, specifically, when the following conditions (a)–(f) are fully satisfied, the ECU 2 sets the adaptive control flag F_PRISMON to 1 for showing the satisfied conditions, on the assuption that the condition is met for using the target air/fuel ratio KCMD calculated in the adaptive air/fuel ratio control processing. On the other hand, if at least one of the conditions (a)–(f) is not satisfied, the ECU 2 sets the adaptive control flag F_PRISMON to 0.
(a) The LAF sensor 14 and O2 sensor 15 are both activated;
(b) the engine 3 is not in a lean burn operation;
(c) the throttle valve 5 is not fully opened;
(d) the ignition timing is not controlled to be retarded;
(e) the engine 3 is not in a fuel cut operation; and
(f) the engine rotational speed NE and absolute intake pipe inner pressure PBA are both within their respective predetermined ranges.
Next, the routine proceeds to step 5, where it is determined whether or not the adaptive control flag F_PRISMON set at step 4 is “1.” If the result of determination at step 5 is YES, the routine proceeds to step 6, where the ECU 2 sets the target air/fuel ratio KCMD to an adaptive target air/fuel ratio KCMDSLD which is calculated by adaptive air/fuel ratio control processing, later described.
On the other hand, if the result of determination at step 5 is NO, the routine proceeds to step 7, where the ECU 2 sets the target air/fuel ratio KCMD to a map value KCMDMAP. The map value KCMDMAP is searched from a map, not shown, in accordance with the engine rotational speed NE and absolute intake pipe inner pressure PBA.
At step 8 subsequent to the foregoing step 6 or 7, the ECU 2 calculates an observer feedback correction coefficient #nKLAF for each cylinder. The observer feedback correction coefficient #nKLAF is provided for correcting variations in the actual air/fuel ratio for each cylinder. Specifically, the ECU 2 calculates the observer feedback correction coefficient #nKLAF based on a PID control in accordance with an actual air/fuel ratio estimated by an observer for each cylinder from the output KACT of the LAF sensor 14. The symbol #n in the observer feedback correction coefficient #nKLAF represents the cylinder number #1–#4. The same applies as well to a required fuel injection amount #nTCYL and a final fuel injection amount #nTOUT, later described.
Next, the routine proceeds to step 9, where the ECU 2 calculates a feedback correction coefficient KFB. The feedback correction coefficient KFB is provided for bringing the output KACT of the LAF sensor 14 to the target air/fuel ratio KCMD. Specifically, the ECU 2 calculates the feedback coefficient KFB in the following manner. The ECU 2 calculates a feedback coefficient KLAF based on a PID control in accordance with a deviation of the output KACT of the LAF sensor 14 from the target air/fuel ratio KCMD. Also, the ECU 2 calculates a feedback correction coefficient KSTR by calculating the feedback correction coefficient KSTR by a self tuning regulator type adaptive controller, not shown, and dividing the feedback correction coefficient KSTR by the target air/fuel ratio KCMD. Then, the ECU 2 sets one of these two feedback coefficient KLAF and feedback correction coefficient KSTR as the feedback correction coefficient KFB in accordance with an operating condition of the engine 3.
Next, the routine proceeds to step 10, where the ECU 2 calculates a corrected target air/fuel ratio KCMDM. This corrected target air/fuel ratio KCMDM is provided for compensating filling efficiency for a change due to a change in the air/fuel ratio A/F. The ECU 2 searches a table, not shown, for the corrected target air/fuel ratio KCMDM in accordance with the target air/fuel ratio KCMD calculated at step 6 or 7.
Next, the routine proceeds to step 11, where the ECU 2 calculates the required fuel injection amount #nTCYL for each cylinder in accordance with the following equation (43) using the basic fuel injection amount Tim, total correction coefficient KTOTAL, observer feedback correction coefficient #nKLAF, feedback correction coefficient KFB, and corrected target air/fuel ratio KCMDM, which have been calculated as described above.

#nTCYL=Tim·KTOTAL·KCMDM·KFB·#nKLAF  (43)

Next, the routine proceeds to step 12, where the ECU 2 corrects the required fuel injection amount #nTCYL for sticking to calculate the final fuel injection amount #nTOUT. Specifically, the ECU 2 calculates this final fuel injection amount #nTOUT by calculating the proportion of fuel injected from the injector 6 which is stuck to the inner wall of the combustion chamber in the current combustion cycle in accordance with an operating condition of the engine 3, and correcting the required fuel injection amount #nTCYL based on the proportion thus calculated.
Next, the routine proceeds to step 13, where the ECU 2 outputs a driving signal based on the final fuel injection amount #nTOUT calculated in the foregoing manner to the injector 6 of a corresponding cylinder, followed by termination of this processing. Thus, the air/fuel ratio of the air/fuel mixture is controlled in feedback mode to bring the output KACT of the LAF sensor 14 to the target air/fuel ratio KCMD.
Next, the adaptive air/fuel ratio control processing including the ADSM processing and PRISM processing will be described with reference to FIGS. 14 and 15 which illustrate routines for executing the ADSM and PRISM processing, respectively. This processing is executed at a period 100 msec for the reason set forth below. Also, in this processing, the ECU 2 calculates the target air/fuel ratio KCMD in accordance with an operating condition of the engine 3 by the ADSM processing, PRISM processing, or processing for setting a sliding mode control amount DKCMDSLD to a predetermined value SLDHOLD.
First, in this processing, the ECU 2 executes post-F/C determination processing at step 20. Though not shown in detail in the figure, during a fuel cut operation, the ECU 2 sets a post-F/C determination flag F_AFC to 1 for indicating that the engine 3 is in a fuel cut operation. When a predetermined time X_TM_AFC has elapsed after the end of the fuel cut operation, the ECU 2 sets the post-F/C determination flag F_AFC to 0 for indicating this situation.
Next, the routine proceeds to step 21, where the ECU 2 executes launch determination processing based on the vehicle speed VP for determining whether or not the vehicle equipped with the engine 3 has started. As illustrated in FIG. 16 showing a routine for executing the start determination processing, it is first determined at step 49 whether or not an idle operation flag F_IDLE is 1. The idle operation flag F_IDLE is set to 1 during an idle operation and otherwise to 0.
If the result of determination at step 49 is YES, indicating the idle operation, the routine proceeds to step 50, where it is determined whether or not the vehicle speed VP is lower than a predetermined vehicle speed VSTART (for example, 1 km/h). If the result of determination at step 50 is YES, indicating that the vehicle is stopped, the routine proceeds to step 51, where the ECU 2 sets a time value TMVOTVST of a fist launch determination timer of down-count type to a first predetermined time TVOTVST (for example, 3 msec).
Next, the routine proceeds to step 52, where the ECU 2 sets a timer value TMVST of a second launch determination timer of down-count type to a second predetermined time TVST (for example, 500 msec) longer than the first predetermined time TVOTVST. Then, at steps 53, 54, the ECU 2 sets a first and a second launch flag F_VOTVST, F_VST to 0, followed by termination of the processing.
On the other hand, if the determination result at step 49 or 50 is NO, i.e., when the vehicle is not in an idle operation or when the vehicle has been launched, the routine proceeds to step 55, where it is determined whether or not the timer value TMVOTVST of the first launch determination timer is larger than zero. If the result of determination at step 55 is YES, indicating that the first predetermined time TVOVST has not elapsed after the end of the idle operation or after the vehicle was launched, the routine proceeds to step 56, where the ECU 2 sets the first launch flag F_VOTVST to 1 for indicating that the vehicle is now in a first launch mode.
On the other hand, if the result of determination at step 55 is NO, indicating that the first predetermined time TVOTVST has elapsed after the end of the idle operation or after the vehicle was launched, the routine proceeds to step 57, where the ECU 2 sets the first launch flag F_VOTVST to 0 for indicating that the first launch mode has been terminated.
At step 58 subsequent to step 56 or 57, it is determined whether or not the timer value TMVST of the second launch determination timer is larger than zero. If the result of determination at step 58 is YES, i.e., when the second predetermined time TVST has not elapsed after the end of the idle operation or after the vehicle was launched, the routine proceeds to step 59, where the ECU 2 sets the second launch flag F_VST to 1, indicating that the vehicle is now in a second launch mode, followed by termination of this processing.
On the other hand, if the result of determination at step 58 is NO, i.e., when the second predetermined time TVST has elapsed after the end of the idle operation or after the vehicle was launched, the ECU 2 executes the aforementioned step 54, regarding that the second launch mode has been terminated, followed by termination of this processing.
Turning back to FIG. 14, at step 22 subsequent to step 21, the ECU 2 executes processing for setting state variables. Though not shown, in this processing, the ECU 2 shifts all of the target air/fuel ratio KCMD, the output KACT of the LAF sensor 14, and time series data of the output deviation VO2, stored in the RAM, to the past by one sampling cycle. Then, the ECU 2 calculates current values of KCMD, KACT and VO2 based on the latest values of KCMD, KACT and time series data of VO2, the reference value FLAFBASE, and an adaptive correction term FLFADP, later described.
Next, the routine proceeds to step 23, where it is determined whether or not the PRISM/ADSM processing should be executed. This processing determines whether or not the condition for executing the PRISM processing or ADSM processing is satisfied. Specifically, the processing is executed along a flow chart illustrated in FIG. 17.
More specifically, at steps 60–63 in FIG. 17, when the following conditions (g)–(j) are fully satisfied, the ECU 2 sets a PRISM/ADSM execution flag F_PRISMCAL to 1 at step 64, for indicating that the vehicle is in an operating condition in which the PRISM processing or ADSM processing should be executed, followed by termination of this processing. On the other hand, if at least one of the conditions (g)–(j) is not satisfied, the ECU 2 sets the PRISM/ADSM execution flag F_PRISMCAL to 0 at step 65, for indicating that the vehicle is not in an operating condition in which the PRISM processing or ADSM processing should be executed, followed by termination of this processing.
(g) The O2 sensor 15 is activated;
(h) the LAF sensor 14 is activated;
(i) the engine 3 is not in a lean burn operation; and
(j) the ignition timing is not controlled to be retarded.
Turning back to FIG. 14, at step 24 subsequent to step 23, the ECU 2 executes processing for determining whether or not the identifier 23 should executes the operation. ECU 2 determines whether or not conditions are met for the on-board identifier 23 to identify parameters through this processing which is executed specifically along a flow chart illustrated in FIG. 18.
When the results of determinations at steps 70 and 71 in FIG. 18 are both NO, in other words, when the throttle valve opening θTH is not fully opened and the engine 3 is not in a fuel cut operation, the routine proceeds to step 72, where the ECU 2 sets an identification execution flag F_IDCAL to 1 on the assumption that the engine 3 is in an operating condition in which the identification of parameters should be executed, followed by termination of the processing. On the other hand, if the result of determination at step 70 or 71 is YES, the routine proceeds to step 73, where the ECU 2 sets the identification execution flag F_IDCAL to 0 on the assumption that the engine 3 is not in an operating condition in which the identification of parameters should be executed, followed by termination of the processing.
Turning back to FIG. 14, at step 25 subsequent to step 24, the ECU 2 calculates a variety of parameters (exhaust gas volume AB_SV and the like). Specific details of this calculation will be described later.
Next, the routine proceeds to step 26, where it is determined whether or not the PRISM/ADSM execution flag F_PRISMCAL set at step 23 is “1.” If the result of determination at step 26 is YES, i.e., when conditions are met for executing the PRISM processing or ADSM processing, the routine proceeds to step 27, where it is determined whether or not the identification execution flag F_IDCAL set at step 24 is “1.”
If the result of determination at step 27 is YES, i.e., when the engine 3 is in an operating condition in which the on-board identifier 23 should execute the identification of parameters, the routine proceeds to step 28, where it is determined whether or not a parameter initialization flag F_IDRSET is “1.” If the result of determination at step 28 is NO, i.e., when the initialization is not required for the model parameters a1, a2, b1 stored in the RAM, the routine proceeds to step 31, later described.
On the other hand, if the result of determination at step 28 is YES, i.e., when the initialization is required for the model parameters a1, a2, b1, the routine proceeds to step 29, where the ECU 2 sets the model parameters a1, a2, b1 to their respective initial values. Then, the routine proceeds to step 30, where the ECU 2 sets the parameter initialization flag F_IDRSET to 0 for indicating that the model parameters a1, a2, b1 have been set to the initial values.
At step 31 subsequent to step 30 or 28, the on-board identifier 23 executes the operation to identify the model parameters a1, a2, b1, followed by the routine proceeding to step 32 in FIG. 15, later described. Specific details on the operation of the on-board identifier 23 will be described later.
On the other hand, if the result of determination at step 27 is NO, i.e., when the engine 3 is not in an operating condition in which the identification of the parameters should not be executed, the routine skips the foregoing steps 28–31, and proceeds to step 32 in FIG. 15. At step 32 subsequent to step 27 or 31, the ECU 2 selects identified values or predetermined values for the model parameters a1, a2, b1. Though details on this operation are not shown, specifically, the model parameters a1, a2, b1 are set to the identified values identified at step 31 when the identification execution flag F_IDCAL set at step 24 is “1.” On the other hand, when the identification execution flag F_IDCAL is 0, the model parameters a1, a2, b1 are set to the predetermined values.
Next, the routine proceeds to step 33, where the state predictor 22 executes the operation to calculate the predicted value PREVO2, as later described. Subsequently, the routine proceeds to step 34, where the ECU 2 calculates the control amount Usl, as later described.
Next, the routine proceeds to step 35, where the ECU 2 executes processing for determining whether or not the SLD controller 25 is stable. Though details on this processing are not shown, specifically, the ECU 2 determines based on the value of the prediction switching function σPRE to determine whether or not the sliding mode control conducted by the SLD controller 25 is stable.
Next, at steps 36 and 37, the SLD controller 25 and DSM controller 24 calculate the sliding mode control amount DKCMDSLD and ΔΣ modulation control amount DKCMDDSM, respectively, as described later.
Next, the routine proceeds to step 38, where the ECU 2 calculates the adaptive target air/fuel ratio KCMDSLD using the sliding mode control amount DKCMDSLD calculated by the SLD controller 25 or the ΔΣ modulation control amount DKCMDDSM calculated by the DSM controller 24. Subsequently, the routine proceeds to step 39, where the ECU 2 calculates an adaptive correction term FLAFADP, as later described, followed by termination of the processing.
Turning back again to FIG. 14, if the result of determination at step 26 is NO, i.e., when conditions are not met for executing either the PRISM processing or the ADSM processing, the routine proceeds to step 40, where the ECU 2 sets the parameter initialization flag F_IDRSET to “1.” Next, the routine proceeds to step 41 in FIG. 15, where the ECU 2 sets the sliding mode control amount DKCMDSLD to a predetermined value SLDHOLD. Then, after executing the aforementioned steps 38, 39, the processing is terminated.
Next, the processing for calculating a variety of parameters at step 25 will be described with reference to FIG. 19 which illustrates a routine for executing this processing. First, in this processing, the ECU 2 calculates the exhaust gas volume AB_SV (estimated value of a space velocity) in accordance with the following equation (44) at step 80:

AB—SV=(NE/1500)·PBA·X—SVPRA  (44)

where X_SVPRA is a predetermined coefficient which is determined based on the displacement of the engine 3.

Next, the routine proceeds to step 81, where the ECU 2 calculates a dead time KACT_D (=d′) in the aforementioned air/fuel ratio manipulation system, a dead time CAT_DELAY (=d) in the exhaust system, and a prediction time dt. Specifically, the ECU 2 searches a table shown in FIG. 20 for the dead times KACT_D, CAT_DELAY, respectively, in accordance with the exhaust gas volume AB_SV calculated at step 80, and sets the sum of these dead times (KACT_D+CAT_DELAY) as the prediction time dt. In other words, in this control program, the phase delay time dd is set to zero.
In the table shown in FIG. 20, the dead times KACT_D, CAT_DELAY are set to smaller values as the exhaust gas volume AB_SV is larger. This is because the dead times KACT_D, CAT_DELAY are shorter as the exhaust gas volume AB_SV is larger since exhaust gases flow faster. As described above, since the dead times KACT_D, CAT_DELAY and prediction time dt are calculated in accordance with the exhaust gas volume AB_SV, it is possible to eliminate slippage in control timing between the input and output of the controlled object by calculating the adaptive target air/fuel ratio KCMDSLD, later described, based on the predicted value PREVO2 of the output deviation VO2 which has been calculated using them. Also, since the model parameters a1, a2, b1 are fixed using the dead time CAT_DELAY, the dynamic characteristic of the controlled object model can be fitted to the actual dynamic characteristic of the controlled object, thereby making it possible to more fully eliminate the slippage in control timing between the input and output of the controlled object.
Next, the routine proceeds to step 82, where the ECU 2 calculates weighting parameters λ1, λ2 of the identification algorithm. Specifically, the ECU 2 sets the weighting parameter λ2 to one, and simultaneously searches a table shown in FIG. 21 for the weighting parameter λ1 in accordance with the exhaust gas volume AB_SV.
In the table shown in FIG. 21, the weighting parameter λ1 is set to a smaller value as the exhaust gas volume AB_SV is larger. In other words, the weighting parameter λ1 is set to a larger value closer to one as the exhaust gas volume AB_SV is smaller. This setting is made for the following reason. Since the model parameters must be more rapidly identified as the exhaust gas volume AB_SV is larger, or in other words, as the engine 3 is more heavily loaded in operation, the model parameters are converged to optimal values faster by setting the weighting parameter λ1 to a smaller value. In addition, as the exhaust gas volume AB_SV is smaller, i.e., as the engine 3 is more lightly loaded in operation, the air/fuel ratio is more susceptible to fluctuations, causing the post-catalyst exhaust gas characteristic to become instable, so that a high accuracy must be ensured for the identification of the model parameters. Thus, the weighting parameter λ1 is brought closer to one (to the least square algorithm) to improve the identification accuracy for the model parameters.
Next, the routine proceeds to step 83, where the ECU 2 searches a table shown in FIG. 22 for a lower limit value X_IDA2L for limiting allowable ranges of the model parameters a1, a2, and a lower limit value X_IDB1L and an upper limit value X_IDB1H for limiting an allowable range of the model parameter b1 in accordance with the exhaust gas volume AB_SV.
In the table shown in FIG. 22, the lower limit value X_IDA2L is set to a larger value as the exhaust gas volume AB_SV is larger. This is because an increase and/or a decrease in the dead times resulting from a change in the exhaust gas volume AB_SV causes a change in a combination of the model parameters a1, a2 which provide a stable state in the control system. Likewise, the lower limit value X_IDB1L and upper limit value X_IDB1H are set to larger values as the exhaust gas volume AB_SV is larger. This is because a pre-catalyst air/fuel ratio (air/fuel ratio of exhaust gases upstream of the first catalyzer 8a) affects more the output Vout of the O2 sensor 15, i.e., the gain of the controlled object becomes larger as the exhaust gas volume AB_SV is larger.
Next, the routine proceeds to step 84, where the ECU 2 calculates the filter order n of the moving average filtering processing, followed by termination of the processing. Specifically, the ECU 2 searches a table shown in FIG. 23 for the filter order n in accordance with the exhaust gas volume AB_SV.
In the table shown in FIG. 23, the filter order n is set to a smaller value as the exhaust gas volume AB_SV is larger. This setting is made for the reason set forth below. As described above, a change in the exhaust gas volume AB_SV causes fluctuations in the frequency characteristic, in particular, the gain characteristic of the controlled object, so that the weighted least square algorithm must be appropriately corrected for the frequency weighting characteristic in accordance with the exhaust gas volume AB_SV for fitting the gain characteristic of the controlled object model to the actual gain characteristic of the controlled object. Therefore, by setting the filter order n of the moving average filtering processing in accordance with the exhaust gas volume AB_SV as in the table shown in FIG. 23, constant identification weighting can be ensured in the identification algorithm irrespective of a change in the exhaust gas volume AB_SV, and the controlled object model can be matched with the controlled object in the gain characteristic, thereby making it possible to improve the identification accuracy.
Next, the operation performed by the on-board identifier 23 at step 31 will be described with reference to FIG. 24 which illustrates a routine for executing the processing. As illustrated in FIG. 24, in this operation, the on-board identifier 23 first calculates the gain coefficient KP(k) in accordance with the aforementioned equation (22) at step 90. Next, the routine proceeds to step 91, where the on-board identifier 23 calculates the identified value VO2HAT(k) for the output deviation VO2 in accordance with the aforementioned equation (20).
Next, the routine proceeds to step 92, where the on-board identifier 23 calculates the identification error filter value ide_f(k) in accordance with the aforementioned equations (18), (19). Next, the routine proceeds to step 93, where the on-board identifier 23 calculates the vector θ(k) for model parameters in accordance with the aforementioned equation (16), followed by the routine proceeding to step 94, where the on-board identifier 23 executes processing for stabilizing the vector θ(k) for the model parameters. The stabilization processing will be described later.
Next, the routine proceeds to step 95, where the on-board identifier 23 calculates the next value P(k+1) for the square matrix P(k) in accordance with the aforementioned equation (23). This next value P(k+1) is used as the value for the square matrix P(k) in the calculation in the next loop.
In the following, the processing for stabilizing the vector θ(k) for the model parameters at step 94 will be described with reference to FIG. 25.
As illustrated in FIG. 25, the ECU 2 first sets three flags F_A1STAB, F_A2STAB, F_B1STAB to 0 at step 100. Next, the routine proceeds to step 101, where the ECU 2 limits the identified values a1′, a2′, as described later. Next, at step 102, the ECU 2 limits the identified value b1′, as later described, followed by termination of the processing for stabilizing the vector θ(k) for the model parameters.
In the following, the processing involved in limiting the identified values a1′, a2′ at step 101 will be described with reference to FIG. 26 which illustrates a routine for executing the processing. As illustrated, it is first determined at step 110 whether or not the identified value a2′ for the model parameter calculated at step 93 is equal to or larger than the lower limit value X_IDA2L calculated at step 83 in FIG. 19. If the result of determination at step 110 is NO, the routine proceeds to step 111, where the ECU 2 sets the model parameter a2 to the lower limit value X_IDA2L for stabilizing the control system, and simultaneously sets the flag F_A2STAB to 1 for indicating that the stabilization has been executed for the model parameter a2. On the other hand, if the result of determination at step 110 is YES, indicating that a2′≧X_IDA2L, the routine proceeds to step 112, where the ECU 2 sets the model parameter a2 to the identified value a2′.
At step 113 subsequent to the foregoing step 111 or 112, it is determined whether or not the identified value a1′ for the model parameter calculated at step 93 is equal to or larger than a predetermined lower limit value X_IDA1L (for example, a constant value equal to or larger than −2 and smaller than 0). If the result of determination at step 113 is NO, the routine proceeds to step 114, where the ECU 2 sets the model parameter a1 to the lower limit value X_IDA1L for stabilizing the control system, and simultaneously sets the flag F_A1STAB to 1 for indicating that the stabilization has been executed for the model parameter a1.
On the other hand, if the result of determination at step 113 is YES, the routine proceeds to step 115, where it is determined whether or not the identified value a1′ is equal to or lower than a predetermined upper limit value X_IDA1H (for example, 2). If the result of determination at step 115 is YES, indicating that X_IDA1L≦a1′≦X_IDA1H, the routine proceeds to step 116, where the ECU 2 sets the model parameter al to the identified value a1′. On the other hand, if the result of determination at step 115 is NO, indicating that X_IDA1H<a1′, the routine proceeds to step 117, where the ECU 2 sets the model parameter al to the upper limit value X_IDA1H, and simultaneously sets the flag F_A1STAB to 1 for indicating that the stabilization has been executed for the model parameter a1.
At step 118 subsequent to the foregoing steps 114, 116 or 117, it is determined whether or not the sum of the absolute value of the model parameter a1 calculated in the manner described above and the model parameter a2 (|a1|+a2) is equal to or smaller than a predetermined determination value X_A2STAB (for example, 0.9). If the result of determination at step 118 is YES, the processing for limiting the identified values a1′, a2′ is terminated without further processing, on the assumption that a combination of the model parameters a1, a2 is within a range (a restriction range indicated by hatchings in FIG. 27) in which the stability can be ensured for the control system.
On the other hand, if the result of determination at step 118 is NO, the routine proceeds to step 119, where it is determined whether or not the model parameter al is equal to or smaller than a value calculated by subtracting the lower limit value X_IDA2L from the determination value X_A2STAB (X_A2STAB−X_IDA2L). If the result of determination at step 119 is YES, the routine proceeds to step 120, where the ECU 2 sets the model parameter a2 to a value calculated by subtracting the absolute value of the model parameter a1 from the determination value X_A2STAB (X_A2STAB−|a1|), and simultaneously sets the flag F_A2STAB to 1 for indicating that the stabilization has been executed for the model parameter a2, followed by termination of the processing for limiting the identified values a1′, a2′.
On the other hand, if the result of determination at step 119 is NO, indicating that a1>(X_A2STAB−X_IDA2L), the routine proceeds to step 121, where the ECU 2 sets the model parameter a1 to the value calculated by subtracting the lower limit value X_IDA2L from the determination value X_A2STAB (X_A2STAB−X_IDA2L) for stabilizing the control system, and sets the model parameter a2 to the lower limit value X_IDA2L. Simultaneously with these settings, the ECU 2 sets both flags F_A1STAB, F_A2STAB to 1 for indicating that the stabilization has been executed for the model parameters a1, a2, followed by termination of the processing for limiting the identified values a1′, a2′.
As described above, in the sequential identification algorithm, when the input and output of a controlled object enter a steady state, a control system may become instable or oscillatory because a so-called drift phenomenon is more likely to occur, in which absolute values of identified model parameters increase due to a shortage of self excitation condition. Also, its stability limit varies depending on the operating condition of the engine 3. For example, during a low load operating condition, the exhaust gas volume AB_SV becomes smaller to cause an increase in a response delay, a dead time and the like of exhaust gases with respect to a supplied air/fuel mixture, resulting in a high susceptibility to an oscillatory output Vout of the O2 sensor 15.
In contrast, the foregoing a1′ and a2′ limit processing sets a combination of model parameters a1, a2 within the restriction range indicated by hatchings in FIG. 27, and sets the lower limit value X_IDA2L for determining this restriction range in accordance with the exhaust gas volume AB_SV, so that this restriction range can be set as an appropriate stability limit range which reflects a change in the stability limit associated with a change in the operating condition of the engine 3, i.e., a change in the dynamic characteristic of the controlled object. With the use of the model parameters a1, a2 which are restricted to fall within such a restriction range, it is possible to avoid the occurrence of the drift phenomenon to ensure the stability of the control system. In addition, by setting the combination of model parameters a1, a2 as values within the restriction range in which the stability can be ensured for the control system, it is possible to avoid an instable state of the control system which would otherwise be seen when the model parameters a1, a2 are restricted independently of each other. With the foregoing strategy, it is possible to improve the stability of the control system and the post-catalyst exhaust gas characteristic.
Next, the b1′ limit processing at step 102 will be described with reference to FIG. 28 which illustrates a routine for executing this processing. As illustrated, it is determined at step 130 whether or not the identified value b1′ for the model parameter calculated at step 93 is equal to or larger than the lower limit value X_IDB1L calculated at step 83 in FIG. 19.
If the result of determination at step 130 is YES, indicating that b1′≧X_IDB1L, the routine proceeds to step 131, where it is determined whether or not the identified value b1′ for the model parameter is equal to or smaller than the upper limit value X_IDB1H calculated at step 83 in FIG. 19. If the result of determination at step 131 is YES, indicating that X_IDB1L≦b1′′≦X_IDB1H, the routine proceeds to step 132, where the ECU 2 sets the model parameter b1 to the identified value b1′, followed by termination of the b1′ limit processing.
On the other hand, if the result of determination at step 131 is NO, indicating that b1′>X_IDB1H, the routine proceeds to step 133, where the ECU 2 sets the model parameter b1 to the upper limit value X_IDB1H, and simultaneously sets a flag F_B1LMT to 1 for indicating this setting, followed by termination of the b1′ limiting processing.
At step 130, if the result of determination is NO, indicating that b1′<X_IDB1L, the routine proceeds to step 134, where the ECU 2 sets the model parameter b1 to the lower limit value X_IDB1L, and simultaneously sets the F_B1LMT to 1 for indicating this setting, followed by termination of the b1′ limit processing.
By executing the foregoing b1′ limit processing, the model parameter b1 can be restricted within the restriction range from X_IDB1L to X_IDB1H, thereby avoiding the drift phenomenon caused by the sequential identification algorithm. Further, as described above, these upper and lower limit values X_IDB1H, X_IDB1L are set in accordance with the exhaust gas volume AB_SV, so that the restriction range can be set as an appropriate stability limit range which reflects a change in the stability limit associated with a change in the operating condition of the engine 3, i.e., a change in the dynamic characteristic of the controlled object. With the use of the model parameter b1 restricted in such a restriction range, the stability can be ensured for the control system. The foregoing strategy can provide an improvement in the stability of the control system and a resulting improvement in the post-catalyst exhaust gas characteristic.
Next, the aforementioned operation performed by the state predictor 22 at step 33 will be described with reference to FIG. 29 which illustrates a routine for executing this processing. First, the state predictor 22 calculates matrix elements α1, α2, βi, βj in the aforementioned equation (7) at step 140. Then, the routine proceeds to step 141, where the state predictor 22 applies the matrix elements α1, α2, βi, βj calculated at step 140 to the equation (7) to calculate the predicted value PREVO2 of the output deviation VO2, followed by termination of the processing.
Next, the aforementioned processing for calculating the control amount Usl at step 34 in FIG. 15 will be described with reference to FIG. 30 which illustrates a routine for executing this processing. First, at step 150, the ECU 2 calculates the prediction switching function σPRE in accordance with the aforementioned equation (38) in FIG. 12.
Then, the routine proceeds to step 151, where the ECU 2 calculates an integrated value SUMSIGMA of the prediction switching function σPRE. As illustrated in FIG. 31, in the calculation of the integrated value SUMSIGMA, it is first determined at step 160 whether or not at least one of the following three conditions (l)–(n) is satisfied:
(l) the adaptive control flag F_PRISMON is 1;
(m) an integrated value holding flag F_SS_HOLD, later described, is 0; and
(n) an ADSM execution flag F_KOPR, later described, is 0.
If the result of determination at step 160 is YES, i.e., when the condition is satisfied for calculating the integrated value SUMSIGMA, the routine proceeds to step 161, where the ECU 2 sets a current value SUMSIGMA(k) of the integrated value SUMSIGMA to a value which is calculated by adding the product of a control period ΔT and the prediction switching function σPRE to the preceding value SUMSIGMA(k−1) [SUMSIGMA(k−1)+ΔT·σPRE].
Next, the routine proceeds to step 162, where it is determined whether or not the current value SUMSIGMA(k) calculated at step 161 is larger than a predetermined lower limit value SUMSL. If the result of determination at step 162 is YES, the routine proceeds to step 163, where it is determined whether or not the current value SUMSIGMA(k) is smaller than a predetermined upper limit value SUMSH. If the result of determination at step 163 is YES, indicating that SUMSL<SUMSIGMA(k)<SUMSH, the processing for calculating the prediction switching function σPRE is terminated without further processing.
On the other hand, if the result of determination at step 163 is NO, indicating that SUMSIGMA(k)≧SUMSH, the routine proceeds to step 164, where the ECU 2 sets the current value SUMSIGMA(k) to the upper limit value SUMSH, followed by termination of the processing for calculating the prediction switching function σPRE. On the other hand, if the result of determination at step 162 is NO, indicating SUMSIGMA(k)≦SUMSL, the routine proceeds to step 165, where the ECU 2 sets the current value SUMSIGMA(k) to the lower limit value SUMSL, followed by termination of the processing for calculating the prediction switching function σPRE.
At step 160, if the result of determination is NO, i.e., when any of the three conditions (l)–(n) is not satisfied to result in a failed establishment of the condition for calculating the integrated value SUMSIGMA, the routine proceeds to step 166, where the ECU 2 sets the current value SUMSIGMA(k) to the preceding value SUMSIGMA(k−1). In other words, the integrated value SUMSIGMA is held unchanged. Subsequently, the processing for calculating the prediction switching function σPRE is terminated.
Turning back to FIG. 30, at steps 152–154 subsequent to step 151, the ECU 2 calculates the equivalent control input Ueq, reaching law input Urch, and adaptive law input Uadp in accordance with the aforementioned equations (40)–(42), respectively, in FIG. 12.
Next, the routine proceeds to step 155, where the ECU 2 sets the sum of these equivalent control input Ueq, reaching law input Urch, and adaptive law input Uadp as the control amount Usl, followed by termination of processing for calculating the control amount Usl.
Next, the aforementioned processing for calculating the sliding mode control amount DKCMDSLD at step 36 in FIG. 15 will be described in detail with reference to FIGS. 32, 33 which illustrate routines for executing this processing. First, at step 170, the ECU 2 executes processing for calculating a limit value for the control amount Usl. In this processing, though detailed description is omitted, the ECU 2 calculates upper and lower limit values Usl_ahf, Usl_alf for non-idle operation, as well as upper and lower limit values Usl_ahfi, Usl_alfi for idle operation, respectively, based on the result of determination for determining the stability of the controller at step 35, and adaptive upper and lower limit values Usl_ah, Usl_al, later described, for the control amount Usl.
Next, the routine proceeds to step 171, where it is determined whether or not an idle operation flag F_IDLE is 0. If the result of determination at step 171 is YES, indicating that the engine 3 is not in an idle operation, the routine proceeds to step 172, where it is determined whether or not the control amount Usl calculated in the aforementioned processing of FIG. 30 is equal to or smaller than the lower limit value Usl_alf for non-idle operation.
If the result of determination at step 172 is NO, indicating that Usl>Usl_alf, the routine proceeds to step 173, where it is determined whether or not the control amount Usl is equal to or larger than the upper limit value Usl_ahf for non-idle operation. If the result of determination at step 173 is NO, indicating that Usl_alf<Usl<Usl_ahf, the routine proceeds to step 174, where the ECU 2 sets the sliding mode control amount DKCMDSLD to the control amount Usl, and simultaneously sets the integrated value holding flag F_SS_HOLD to 0.
Next, the routine proceeds to step 175, where the ECU 2 sets the current value Usl_al(k) of the adaptive lower limit value to a value [Usl_al(k−1)+X_AL_DEC] which is calculated by adding a predetermined decrement value X_AL_DEC to the preceding value Usl_al(k−1), and simultaneously sets the current value Usl_ah(k) of the adaptive upper limit value to a value which is calculated by subtracting the predetermined decrement value X_AL_DEC from the preceding value Usl_ah(k−1) [Usl_al(k−1)−X_AL_DEC], followed by termination of the processing for calculating the sliding mode control amount DKCMDSLD.
On the other hand, if the result of determination at step 173 is YES, indicating that Usl≧Usl_ahf, the routine proceeds to step 176, where the ECU 2 sets the sliding mode control amount DKCMDSLD to the adaptive upper limit value Usl_ahf for non-idle operation, and simultaneously sets the integrated value holding flag F_SS_HOLD to “1.”
Next, the routine proceeds to step 177, where it is determined whether or not a post-start timer presents a timer value TMACR smaller than a predetermined time X_TMAWAST, or whether or not an post-F/C determination flag F_AFC is “1.” This post-start timer is an up-count type timer for measuring a time elapsed after the start of the engine 3.
If the result of determination at step 177 is YES, i.e., when a predetermined time X_TMAWAST has not elapsed after the start of the engine 3, or when a predetermined time X_TM_AFC has not elapsed after a fuel cut operation is terminated, the processing for calculating the sliding mode control amount DKCMDSLD is terminated without further processing.
On the other hand, if the result of determination at step 177 is NO, i.e., when the predetermined time X_TMAWAST has elapsed after the start of the engine 3, and when the predetermined time X_TM_AFC has elapsed after a fuel cut operation, the routine proceeds to step 178, where the ECU 2 sets the current value Usl_al(k) of the adaptive lower limit value to a value which is calculated by adding the decrement value X_AL_DEC to the preceding value Usl_al(k−1) [Usl_al(k−1)+X_AL_DEC], and simultaneously sets the current value Usl_ah(k) of the adaptive upper limit value to a value which is calculated by adding a predetermined increment value X_AL_INC to the preceding value Usl_ah(k−1) [Usl_ah(k−1)+X_AL_INC], followed by termination of the processing for calculating the sliding mode control amount DKCMDSLD.
On the other hand, if the result of determination at step 172 is YES, indicating that Usl≦Usl_alf, the routine proceeds to step 179, where the ECU 2 sets the sliding mode control amount DKCMDSLD to the adaptive lower limit value Usl_alf for non-idle operation, and simultaneously sets the integrated value holding flag F_SS_HOLD to “1.”
Next, the routine proceeds to step 180, where it is determined whether or not a second launch flag F_VST is “1.” If the result of determination at step 180 is YES, i.e., when a second predetermined time TVST has not elapsed after the launch of the vehicle so that the vehicle is still in a second launch mode, the processing for calculating the sliding mode control amount DKCMDSLD is terminated without further processing.
On the other hand, if the result of determination at step 180 is NO, i.e., when the second predetermined time TVST has elapsed after the launch of the vehicle so that the second launch mode has been terminated, the routine proceeds to step 181, where the ECU 2 sets the current value Usl_al(k) of the adaptive lower limit value to a value which is calculated by subtracting the increment value X_AL_INC from the preceding value Usl_al(k−1) [Usl_al(k−1)−X_AL_INC], and simultaneously sets the current value Usl-ah(k) of the adaptive upper limit value to a value which is calculated by subtracting the decrement value X_AL_DEC from the preceding value Usl_ah(k−1) [Usl_ah(k−1)−X_AL_DEC], followed by termination of the processing for calculating the sliding mode control amount DKCMDSLD.
At step 171, if the result of determination is NO, indicating that the engine 3 is in an idle operation, the routine proceeds to step 182 in FIG. 33, where it is determined whether or not the control amount Usl is equal to or smaller than the lower limit value Usl_alfi for idle operation. If the result of determination at step 182 is NO, indicating that Usl>Usl_alfi, the routine proceeds to step 183, where it is determined whether or not the control amount Usl is equal to or larger than the upper limit value Usl_ahfi for idle operation.
If the result of determination at step 183 is NO, indicating that Usl_alfi<Usl<Usl_ahfi, the routine proceeds to step 184, where the ECU 2 sets the sliding mode control amount DKCMDSLD to the control amount Usl, and simultaneously sets the integrated value holding flag F_SS_HOLD to 0, followed by termination of the processing for calculating the sliding mode control amount DKCMDSLD.
On the other hand, if the result of determination at step 183 is YES, indicating that Usl≧Usl_ahfi, the routine proceeds to step 185, where the ECU 2 sets the sliding mode control amount DKCMDSLD to the upper limit value Usl_ahfi for idle operation, and simultaneously sets the integrated value holding flag F_SS_HOLD to “1,” followed by termination of the processing for calculating the sliding mode control amount DKCMDSLD.
On the other hand, if the result of determination at step 182 is YES, indicating that Usl≦Usl_alfi, the routine proceeds to step 186, where the ECU 2 sets the sliding mode control amount DKCMDSLD to the lower limit value Usl_alfi for idle operation, and simultaneously sets the integrated value holding flag F_SS_HOLD to “1,” followed by termination of the processing for calculating the sliding mode control amount DKCMDSLD.
Next, the processing for calculating the ΔΣ modulation control amount DKCMDDSM at step 37 in FIG. 15 will be described with reference to FIG. 34 which illustrates a routine for executing this processing. This processing is executed at a period of 100 msec for the reason described below. As illustrated, at step 190, the ECU 2 first sets a current value DSMSGNS(k) [=u′′(k)] of a DSM signal value calculated in the preceding loop, which is stored in the RAM, as the preceding value DSMSGNS(k−1) [=u′′(k−1)].
Next, the routine proceeds to step 191, where the ECU 2 sets a current value DSMSIGMA(k) [=σd(k)] of a deviation integrated value calculated in the preceding loop and stored in the RAM as the preceding value DSMSIGMA(k−1) [=σd(k−1)].
Next, the routine proceeds to step 192, where it is determined whether or not the predicted value PREVO2(k) of the output deviation is equal to or larger than zero. If the result of determination at step 192 is YES, the routine proceeds to step 193, where a gain KRDSM (=Gd) for reference signal value is set to a leaning coefficient KRDSML, on the assumption that the engine 3 is in an operating condition in which the air/fuel ratio of the air-fuel mixture should be changed to be leaner. Then, the routine proceeds to step 195, later described.
On the other hand, if the result of determination at step 192 is NO, the routine proceeds to step 194, where the gain KRDSM for reference signal value is set to an enriching coefficient KRDSMR, larger than the leaning coefficient KRDSML, on the assumption that the engine 3 is in an operating condition in which the air/fuel ratio of the air-fuel mixture should be changed to be richer. Then, the routine proceeds to step 195.
The leaning coefficient KRDSML and the enriching coefficient KRDSMR are set to values different from each other, as described above, for the reason set forth below. For changing the air/fuel ratio of the air/fuel mixture to be leaner, the leaning coefficient KRDSML is set to a value smaller than the enriching coefficient KRDSMR for effectively suppressing the amount of exhausted NOx by lean biasing to ensure an NOx purification percentage of the first catalyzer 8a. Thus, the air/fuel ratio is controlled such that the output Vout of the O2 sensor 15 converges to the target value Vop slower than when the air/fuel ratio is changed to be richer. On the other hand, for changing the air/fuel ratio of the air/fuel mixture to be richer, the enriching coefficient KRDSMR is set to a value larger than the leaning coefficient KRDSML for sufficiently recovering the NOx purification percentage of the first and second catalyzers 8a, 8b. Thus, the air/fuel ratio is controlled such that the output Vout of the O2 sensor 15 converges to the target value Vop faster than when the air/fuel ratio is changed to be leaner. In the foregoing manner, a satisfactory post-catalyst exhaust gas characteristic can be ensured whenever the air/fuel ratio of the air/fuel mixture is changed to be either leaner or richer.
At step 195 subsequent to step 193 or 194, the ECU 2 sets a value calculated by subtracting the preceding value DSMSGNS(k−1) of the DSM signal value calculated at the aforementioned step 190 from the product of a value of −1, the gain KRDSM for reference signal value, and the current value PREVO2(k) of the predicted value [−1·KRDSM·PREVO2(k)−DSMSGNS(k−1)] as a deviation signal value DSMDELTA [=δ(k)]. This setting corresponds to the aforementioned equations (27), (28).
Next, the routine proceeds to step 196, where the ECU 2 sets the current value DSMSIGMA(k) of the deviation integrated value to the sum of the preceding value DSMSIGMA(k−1) calculated at step 191 and the deviation signal value DSMDELTA calculated at step 195 [DSMSIGMA(k−1)+DSMDELTA]. This setting corresponds to the aforementioned equation (29).
Next, in a sequence of steps 197–199, the ECU 2 sets the current value DSMSGNS(k) of the DSM signal value to 1 when the current value DSMSIGMA(k) of the deviation integrated value calculated at step 196 is equal to or larger than zero, and sets the current value DSMSGNS(k) of the DSM signal value to −1 when the current value DSMSIGMA(k) of the deviation integrated value is smaller than zero. The setting in this sequence of steps 197–199 corresponds to the aforementioned equation (30).
Next, the ECU 2 searches a table shown in FIG. 35 for a gain KDSM (=Fd) for the DSM signal value at step 200 in accordance with the exhaust gas volume AB_SV. As shown in FIG. 35, the gain KDSM is set to a larger value as the exhaust gas volume AB_SV is smaller. This is because the responsibility of the output Vout of the O2 sensor 15 is degraded as the exhaust gas volume AB_SV is smaller, i.e., as the engine 3 is operating with a smaller load, so that the gain KDSM is set larger to compensate for the degraded responsibility of the output Vout. By thus setting the gain KSDM, the ΔΣ modulation control amount DKCMDDSM can be appropriately calculated in accordance with an operating condition of the engine 3, while avoiding, for example, an over-gain state, thereby making it possible to improve the post-catalyst exhaust gas characteristic.
The table for use in the calculation of the gain KDSM is not limited to the table of FIG. 35 which sets the gain KDSM in accordance with the exhaust gas volume AB_SV, but any table may be used instead as long as it previously sets the gain KDSM in accordance with a parameter indicative of an operating load of the engine 3 (for example, a basic fuel injection time Tim). Also, when a deterioration determining unit is provided for the catalyzers 8a, 8b, the gain DSM may be corrected to a smaller value as the catalyzers 8a, 8b are deteriorated to a higher degree, as determined by the deterioration determining unit.
Next, the routine proceeds to step 201, where the ECU 2 sets the ΔΣ modulation control amount DKCMDDSM to the product of the gain KDSM for DSM signal value and the current value DSMSGNS(k) of the DSM signal value [KDSM−DSMSGNS(k)], followed by termination of the processing for calculating the sliding mode control amount DKCMDSLD. The setting at step 201 corresponds to the aforementioned equation (31). In this event, since DSMSGNS(k) has been set to 1 or −1 at the aforementioned step 198 or 199, the ΔΣ modulation control amount DKCMDDSM is switched to KDSM or −KDSM.
Next, the aforementioned processing for calculating the adaptive target air/fuel ratio KCMDSLD at step 38 in FIG. 15 will be described with reference to FIG. 36 which illustrates a routine for executing this processing. As illustrated, it is first determined at step 210 whether or not the idle operation flag F_IDLE is 1 and whether or not an idle time ADSM execution flag F_SWOPRI is “1.” The idle time ADSM execution flag F_SWOPRI is set to 1 when the engine 3 is idling in an operating condition in which the ADSM processing should be executed, and otherwise to 0.
If the result of determination at step 210 is YES, i.e., when the engine 3 is idling in an operating condition in which the adaptive target air/fuel ratio KCMDSLD should be calculated by the ADSM processing, the routine proceeds to step 211, where the ECU 2 sets the adaptive target air/fuel ratio KCMDSLD to the sum of the reference value FLAFBASE and the ΔΣ modulation control amount DKCMDDSM [FLAFBASE+DKCMDDSM]. This setting corresponds to the aforementioned equation (32). In this event, since FLAFBASE is a constant value, the target air/fuel ratio KCMD changes by the ΔΣ modulation control amount DKCMDDSM. In addition, since the ΔΣ modulation control amount DKCMDDSM is switched to KDSM or −KDSM, the target air/fuel ratio KCMD is set in response to this switching to fluctuate in a similar manner to the perturbation control.
Next, the routine proceeds to step 212, where the ECU 2 sets an ADSM execution end flag F_KOPR to 1 for indicating that the ADSM processing has been executed, followed by termination of the processing for calculating the adaptive target air/fuel ratio KCMDSLD.
On the other hand, if the result of determination at step 210 is NO, the routine proceeds to step 213, where it is determined whether or not a catalyst/O2 sensor flag F_FCATDSM is “1.” This catalyst/O2 sensor flag F_FCATDSM is set to 1 when at least one of the four following conditions (o)–(r) is satisfied, and otherwise to 0:
(o) the first catalyzer 8a has a catalyst capacity equal to or higher than a predetermined value;
(p) the first catalyzer 8a has a noble metal content equal to or larger than a predetermined value;
(q) the LAF sensor 14 is not provided in the exhaust pipe 7 of the engine 3; and
(r) the O2 sensor 15 is provided downstream of the second catalyzer 8b. 
If the result of determination at step 213 is YES, the routine proceeds to step 214, where it is determined whether or not a first launch flag F_VOTVST and a post-launch ADSM execution flag F_SWOPRVST are both “1.” The post-launch ADSM execution flag F_SWOPRVST is set to 1 when the engine 3 is in an operating condition in which the ADSM processing should be executed after the vehicle has been launched, and otherwise to 0.
If the result of the determination at step 214 is YES, i.e., when a first predetermined time TVOTVST has elapsed after the vehicle was launched and when the engine 3 is in an operating condition in which the ADSM processing should be executed, the ECU 2 executes steps 211, 212, in the manner described above, followed by termination of the processing for calculating the adaptive target air/fuel ratio KCMDSLD.
On the other hand, if the result of determination at step 214 is NO, the routine proceeds to step 215, where it is determined whether or not the following conditions are both satisfied: the exhaust gas volume AB_SV is equal to or smaller than a predetermined value OPRSVH, and a small-exhaust-period ADSM execution flag F_SWOPRSV is “1.” The small-exhaust-period ADSM execution flag F_SWOPRSV is set to 1 when the engine 3 has a small exhaust gas volume AB_SV and when the engine 3 is in an operating condition in which the ADSM processing should be executed, and otherwise to 0.
If the result of determination at step 215 is YES, i.e., when the exhaust gas volume AB_SV is small and when the engine 3 is in an operating condition in which the ADSM processing should be executed, the ECU 2 executes steps 211, 212 in the manner described above, followed by termination of the processing for calculating the adaptive target air/fuel ratio KCMDSLD.
On the other hand, if the result of determination at step 215 is NO, the routine proceeds to step 216, on the assumption that the engine 3 is in an operating condition in which the PRISM processing should be executed, where the ECU 2 sets the adaptive target air/fuel ratio KCMDSLD to the sum of the reference value FLAFBASE, the adaptive correction term FLAFADP, and the sliding mode control amount DKCMDSLD [FLAFBASE+FLAFADP+DKCMDSLD]. Next, the routine proceeds to step 217, where the ECU 2 sets the ADSM execution end flag F_KOPR to 0 for indicating that the PRISM processing has been executed, followed by termination of the processing for calculating the adaptive target air/fuel ratio KCMDSLD.
On the other hand, if the result of determination at step 213 is NO, i.e., when any of the four conditions (o)–(r) is not satisfied, the ECU 2 skips steps 214, 215, and executes the aforementioned steps 216, 217, followed by termination of the processing for calculating the adaptive target air/fuel ratio KCMDSLD. In the foregoing manner, in the processing for calculating the adaptive target air/fuel ratio KCMDSLD, the ECU 2 calculates the adaptive target air/fuel ratio KCMDSLD for the ADSM processing or PRISM processing, switched in accordance with an operating condition of the engine 3.
Referring next to FIG. 37, an exemplary operation involved in the air/fuel ratio control will be described when the adaptive target air/fuel ratio KCMDSLD, i.e., the target air/fuel ratio KCMD is calculated in accordance with the ADSM processing in the foregoing processing for calculating the adaptive target air/fuel ratio KCMDSLD.
As illustrated in FIG. 37, when the target air/fuel ratio KCMD is calculated in accordance with the ADSM processing, the target air/fuel ratio KCMD is controlled in the same manner to the perturbation control, as described above. Specifically, the target air/fuel ratio KCMD is controlled such that it fluctuates at a relatively low frequency, for example, at 1 Hz or less over the amplitude of the gain KDSM when the output Vout of the O2 sensor 15 is far away from the target value Vop. On the other hand, as the output Vout comes closer to the target value Vop, the target air/fuel ratio is automatically controlled such that it fluctuates at frequency of 5 Hz higher than the foregoing over the amplitude of the gain KDSM. This change is made from the result of determination at the aforementioned step 197 which alternates between YES and NO every control cycle because the output deviation VO2 comes closer to zero when the output VOut is close to the target value Vop.
The reason for which the air/fuel ratio control apparatus of this embodiment controls the frequency at which the target air/fuel ratio KCMD fluctuates in the foregoing manner will be described with reference to FIG. 38. FIG. 38 shows the result of measurements made on the exhaust gas purification percentage presented by the first catalyzer 8a when the target air/fuel ratio KCMD is forcedly vibrated in a sinusoidal shape with the output Vout of the O2 sensor 15 remaining near the target value Vop. Data indicated by a broken line shows the result of the measurement which is made with the first catalyzer 8a which is an unused or undeteriorated one, while data indicated by a solid line shows the result of the measurement which is made with the first catalyzer 8a which is deteriorated.
As shown in FIG. 38, the exhaust gas purification percentage presents a satisfactory value irrespective of the fluctuating frequency of the target air/fuel ratio KCMD when the first catalyzer 8a is not deteriorated. On the other hand, it is confirmed that when the first catalyzer 8a is deteriorated, the exhaust gas purification percentage is largely exacerbated in a low frequency range below 3 Hz, but presents a satisfactory value at 3 Hz, more preferably at 5 Hz or higher. It is appreciated from the foregoing that a satisfactory exhaust gas purification percentage can be maintained by controlling the fluctuating frequency of the target air/fuel ratio KCMD to be at 5 Hz or higher.
In this embodiment, since the target air/fuel ratio KCMD is controlled based on the result of determination at step 197 such that it fluctuates over the gain KDSM centered at the reference value FLAFBASE, the result of determination at step 197 alternates every control cycle when the output Vout of the O2 sensor 15 remains near the target value Vop. As a result, the waveform representative of the fluctuating target air/fuel ratio KCMD in one period is generated when the ΔΣ modulation control amount DKCMDDSM is calculated twice in accordance with the processing illustrated in FIG. 34. Therefore, for maintaining a satisfactory exhaust gas purification percentage, the processing for calculating the ΔΣ modulation control amount DKCMDDSM in FIG. 34 should be executed at frequency of 10 Hz (5×2) or higher, i.e., at a period of 100 msec or less. From the reason set forth above, the aforementioned control processing in FIGS. 14 and 15 and calculation processing in FIG. 34 are executed at a period of 100 msec in this embodiment.
As illustrated in FIG. 38, when the target air/fuel ratio KCMD is calculated in accordance with the PRISM processing, the target air/fuel ratio KCMD hardly fluctuates, resulting in the fluctuating frequency substantially equal to zero. In this event, the exhaust gas purification percentage is exceptionally held at the same level as that at which the target air/fuel ratio KCMD fluctuates at frequency of 5 Hz or higher. In addition, although a PWM (Pulse Wave Modulation) control is known as a control approach which uses an inputted oscillatory waveform, this control approach merely changes the amplitude of the input at a fixed oscillation period. Thus, the PWM control does not have the ability to control the fluctuating frequency of the target air/fuel ratio KCMD as the present embodiment.
Next, the processing for calculating the adaptive correction term FLAFADP at step 39 in FIG. 15 will be described with reference to FIG. 39 which illustrates a routine for executing this processing. As illustrated in FIG. 39, it is first determined at step 220 whether or not the output deviation VO2 is within a predetermined range (ADL<VO2<ADH). If the result of determination at step 220 is YES, i.e., when the output deviation VO2 is small so that the output Vout of the O2 sensor 15 is near the target value Vop, the routine proceeds to step 221, where it is determined whether or not the adaptive law input Uadp is smaller than a predetermined lower limit value NRL.
If the result of determination at step 221 is NO, indicating that Uadp≧NRL, the routine proceeds to step 222, where it is determined whether or not the adaptive law input Uadp is larger than a predetermined upper limit value NRH. If the result of determination at step 222 is NO, indicating that NRL≦Uadp≦NRH, the routine proceeds to step 223, where the ECU 2 sets the current value FLAFADP(k) of the adaptive correction term to the preceding value FLAFADP(k−1). In other words, the current value of the adaptive correction term FLAFADP is held. Then, the processing for calculating the adaptive correction term FLAFADP is terminated.
On the other hand, if the result of determination at step 222 is YES, indicating that Uadp>NRH, the routine proceeds to step 224, where the ECU 2 sets the current value FLAFADP(k) of the adaptive correction term to the sum of the preceding value FLAFADP(k−1) and a predetermined update value X_FLAFDLT [FLAFADP(k−1)+XFLAFDLT], followed by termination of the processing for calculating the adaptive correction term FLAFADP.
On the other hand, if the result of determination at step 221 is YES, indicating that Uadp<NRL, the routine proceeds to step 225, where the ECU 2 sets the current value FLAFADP(k) of the adaptive correction term to a value calculated by subtracting the predetermined update value X_FLAFDLT from the preceding value FLAFADP(k−1) [FLAFADP(k−1)−X_FLAFDLT], followed by termination of the processing for calculating the adaptive correction term FLAFADP.
As described above, according to the air/fuel ratio control apparatus 1 according to the first embodiment for controlling the target air/fuel ratio KCMD such that it periodically fluctuates in a controlled object which receives the target air/fuel ratio KCMD as an input under control and outputs the output Vout of the O2 sensor 15, i.e., for controlling the target air/fuel ratio KCMD in a manner similar to the perturbation control, the target air/fuel ratio KCMD is controlled such that it fluctuates at frequency of 5 Hz or higher at which the catalyst provides a satisfactory exhaust gas purification percentage when the output Vout of the O2 sensor 15 remains near the target value Vop. It is therefore possible to maintain the satisfactory exhaust gas purification percentage irrespective of whether or not the first catalyzer 8a is deteriorated, thereby improving the post-catalyst exhaust gas characteristics. In addition, since the control similar to the perturbation control is conducted when the output Vout of the O2 sensor 15 remains near the target value Vop, i.e., when the first catalyzer 8a provides the satisfactory exhaust gas purification percentage, the exhaust gas purification percentage can be further improved.
On the other hand, when the output Vout of the O2 sensor 15 is far away from the target value Vop so that the air/fuel ratio of the mixture supplied to the internal combustion engine can cause a lower exhaust gas purification percentage, the target air/fuel ratio KCMD is controlled to fluctuate at frequency of 1 Hz or lower, which is lower than the aforementioned frequency, the output Vout can be rapidly brought closer to the target value Vop, thereby rapidly recovering a satisfactory exhaust gas purification percentage. In addition, with the use of the ADSM controller 20 based on the ΔΣ modulation algorithm, as the output Vout of the O2 sensor 15 comes closer to the target value Vop, the fluctuating frequency of the target air/fuel ratio KCMD can be automatically changed to a higher value irrespective of the operating condition of the engine 3 and the like, as previously described. In this way, the air/fuel ratio can be controlled in the foregoing manner based on the result of a comparison between the target air/fuel ratio KCMD and target value Vop without adding a program and the like for switching the fluctuating frequency of the target air/fuel ratio KCMD.
Moreover, the on-bard identifier 23 sequentially identifies the model parameters a1, a2, b1, the state predictor calculates the predicted value PREVO2 based on the controlled object model using the prediction time dt and the model parameters a1, a2, b1 sequentially identified by the on-board identifier 23, and the DSM controller 24 calculates the target air/fuel ratio KCMD using this predicted value PREVOS, so that slippage in control timing can be appropriately eliminated between the input and output of the controlled object. This results in a further improvement on the exhaust gas purification percentage and a further improvement on the post-catalyst exhaust gas characteristics.
Also, since the amplitude over which the target air/fuel ratio KCMD fluctuates, i.e., the gain KDSM for the DSM signal value is set in accordance with the exhaust gas volume AB_SV, the amplitude of the target air/fuel ratio KCMD can be set while compensating the responsibility of the output Vout of the O2 sensor 15 for a change associated with a change in the exhaust gas volume AB_SV. In this way, the amplitude of the target air/fuel ratio KCMD can be appropriately set while avoiding an over-gain condition associated with a change in the exhaust gas volume AB_SV, i.e., a change in a load on the engine 3, consequently ensuring a satisfactory exhaust gas purification percentage.
In the following, control apparatuses according to a second through an eighth embodiment of the present invention will be described with reference to FIGS. 40–48. In the following description on the respective embodiments, components identical or equivalent to those in the first embodiment are designated the same reference numerals, and description thereon will be omitted as appropriate.
First, a control apparatus according to a second embodiment will be described with reference to FIG. 40. The air/fuel ratio control apparatus 201 in the second embodiment differs from the air/fuel ratio control apparatus 1 in the first embodiment only in the on-board identifier 23. Specifically, the on-board identifier 23 in the first embodiment calculates the model parameters a1, a2, b1 based on KACT, Vout, and φop(KCMD), whereas the on-board identifier 23 in the second embodiment calculates the model parameters a1, a2, b1 based on Vout and φop.
More specifically, the on-board identifier 23 calculates identified values a1′, a2′, b1′ for the model parameters in accordance with the identification algorithm expressed by the equations (8)–(15) in FIG. 5 in place of the identification algorithm expressed by the equations (16)–(23) in FIG. 6 used in the first embodiment, and limits the identified values a1′, a2′, b1′, as illustrated in FIGS. 26, 28, to calculate the model parameters a1, a2, b1. Though no specific program is shown for the processing performed by the on-board identifier 23, such a program may be organized substantially similar to that used in the first embodiment. The air/fuel ratio control apparatus 201 according to the second embodiment can provide similar advantages to the air/fuel ratio control apparatus 1 according to the first embodiment.
Next, an air/fuel ratio control apparatus according to a third embodiment will be described with reference to FIG. 41. As illustrated, the air/fuel ratio control apparatus 301 in the third embodiment differs from the air/fuel ratio control apparatus 1 in the first embodiment only in the state predictor 22. Specifically, the state predictor 22 in the first embodiment calculates the predicted value PREVO2 based on a1, a2, b1, KACT, Vout, and φop(KCMD), whereas the state predictor 22 in the third embodiment calculates the predicted value PREVO2 based on a1, a2, b1, Vout, and φop.
More specifically, the state predictor 22 in the third embodiment calculates the predicted value PREVO2 of the output deviation VO2 in accordance with the prediction algorithm expressed by the equation (6) in FIG. 4, in place of the prediction algorithm expressed by the equation (7) in FIG. 4 used in the first embodiment. Though no specific program is shown for the processing performed by the state predictor 22, such a program may be organized substantially similar to that used in the first embodiment. The air/fuel ratio control apparatus 301 according to the third embodiment can provide similar advantages to the air/fuel ratio control apparatus 1 according to the first embodiment.
Next, an air/fuel ratio control apparatus according to a fourth embodiment will be described with reference to FIG. 42. As illustrated, the air/fuel ratio control apparatus 401 according to the fourth embodiment differs from the air/fuel ratio control apparatus 1 according to the first embodiment only in that a schedule type DSM controller 20A (target air/fuel ratio setting means), a schedule type state prediction sliding mode controller 21A, and a parameter scheduler 28 (model parameter setting means) are used to calculate the model parameters a1, a2, b1 in place of the ADSM controller 20, PRISM controller 21, and on-board identifier 23.
The parameter scheduler 28 first calculates the exhaust gas volume AB_SV in accordance with the aforementioned equation (44) based on the engine rotational speed NE and intake pipe inner absolute pressure PBA. Next, the parameter scheduler 28 calculates the model parameters a1, a2, b1 in accordance with the exhaust gas volume AB_SV using a table shown in FIG. 43.
In the table sown in FIG. 43, the model parameter al is set to a smaller value as the exhaust gas volume AB_SV is larger. Contrary to the model parameter al, the model parameters a2, b1 are set to larger values as the exhaust gas volume AB_SV is larger. This is because the output of the controlled object, i.e., the output Vout of the O2 sensor 15 becomes more stable as the exhaust gas volume AB_SV is increased, whereas the output Vout of the O2 sensor becomes oscillatory as the exhaust gas volume AB_SV is decreased.
The schedule type DSM controller 20A calculates the target air/fuel ratio KCMD in a DSM controller 24 similar to that in the first embodiment, using the model parameters a1, a2, b1 calculated as described above. Likewise, the schedule type state prediction sliding mode controller 21A calculates the target air/fuel ratio KCMD in an SLD controller 25 similar to that in the first embodiment, using the model parameters a1, a2, b1 calculated as described above.
The air/fuel ratio control apparatus 401 according to the fourth embodiment can provide similar advantages to the air/fuel ratio control apparatus 1 according to the first embodiment. In addition, the model parameters a1, a2, b1 can be more rapidly calculated using the parameter scheduler 28 than using the on-board identifier 23. It is therefore possible to improve the responsibility of the control and more rapidly ensure a favorable post-catalyst exhaust gas characteristic.
Next, an air/fuel ratio control apparatus according to a fifth embodiment will be described with reference to FIG. 44. The air/fuel ratio control apparatus 501 according to the fifth embodiment differs from the air/fuel ratio control apparatus 1 according to the first embodiment only in that an SDM controller 29 is used in place of the DSM controller 24 of the air/fuel ratio control apparatus 1 in the first embodiment. The SDM controller 29 calculates the control input φop(k) in accordance with a control algorithm which applies the ΣΔ modulation algorithm based on the predicted value PREVO2(k).
Specifically, in the SDM controller 29 illustrated in FIG. 44, an inverting amplifier 29a generates a reference signal r(k) as the product of the value of −1, gain Gd for reference signal, and predicted value PREVO2(k). Next, an integrator 29b generates a reference signal integrated value σdr(k) as the sum of a reference signal integrated value σdr(k−1) delayed by a delay element 29c and the reference signal r(k). On the other hand, an integrator 29d generates an SDM signal integrated value σdu(k) as the sum of an SDM signal integrated value σdu(k−1) delayed by a delay element 29e, and an SDM signal u′′(k−1) delayed by a delay element 29j. Then, a subtractor 29f generates a deviation signal δ′′(k) of the SDM signal integrated value σdu(k) from the reference signal integrated value σdr(k).
Next, a quantizer 29g (sign function) generates an SDM signal u′′(k) as the sign of the deviation signal δ′′(k). Then, an amplifier 29h generates an amplified SDM signal u(k) by amplifying the SDM signal u′′(k) by a predetermined gain Fd. Then, an adder 29i generates the control input φop(k) as the sum of the amplified SDM signal u(k) and a predetermined reference value FLAFBASE.
The foregoing control algorithm of the SDM controller 29 is expressed by the following equations (45)–(51):

r(k)=−1·Gd·PREVO2(k)  (45)

σdr(k)=σdr(k−1)+r(k)  (46)

σdu(k)=σdu(k−1)+u′′(k−1)  (47)

δ′′(k)=σdr(k)−σdu(k)  (48)

u′′(k)=sgn(δ′′(k))  (49)

u(k)=Fd·u′′(k)  (50)

φop(k)=FLAFBASE+u(k)  (51)

where Gd and Fd represent gains. The sign function sgn(δ′′(k)) takes the value of 1 (sgn(δ′′(k))=1) when δ′′(k)≧0, and −1 (sgn(δ′′(k))=−1) when δ41 (k)<0 (alternatively, sgn(δ′′(k)) maybe set to 0 (sgn(δ′′(k)=0) when δ′′(k)=0).

As described above, in the ΣΔ modulation algorithm applied to the SDM controller 29, the SDM signal u′′(k) is set to 1 when the deviation signal δ′′(k) is equal to or larger than zero, and to −1 when the integrated deviation value σd(k) is less than zero, respectively.
The ΣΔ modulation algorithm in the control algorithm of the SDM controller 29 is characterized in that the SDM signal u(k) can be generated (calculated) such that the reference signal r(k) is reproduced at the output of the controlled object when the SDM signal u(k) is inputted to the control object, as is the case with the aforementioned ΔΣ modulation algorithm. In other words, the SDM controller 29 has the characteristic of generating the control input φop(k) similar to the aforementioned DSM controller 24. Therefore, the air/fuel ratio control apparatus 501 according to the fifth embodiment, which utilizes the SDM controller 29, can provide similar advantages to the air/fuel ratio control apparatus 1 according to the first embodiment. Though no specific program is shown for the SDM controller 29, such a program may be organized substantially similar to the DSM controller 24.
Next, an air/fuel ratio control apparatus according to a sixth embodiment will be described with reference to FIG. 45. The air/fuel ratio control apparatus 601 according to the sixth embodiment differs from the air/fuel ratio control apparatus 1 according to the first embodiment only in that a DM controller 30 is used in place of the DSM controller 24. The DM controller 30 calculates the control input φop(k) in accordance with a control algorithm which applies a Δ modulation algorithm based on the predicted value PREVO2(k).
Specifically, as illustrated in FIG. 45, in the DM controller 30, an inverting amplifier 30a generates the reference signal r(k) as the product of the value of −1, gain Gd for reference signal, and predicted value PREVO2(k). An integrator 30b generates a DM signal integrated value δdu(k) as the sum of a DM signal integrated value δdu(k−1) delayed by a delay element 30c and a DM signal u′′(k−1) delayed by a delay element 30h. Then, a subtractor 30d generates a deviation signal δ′′(k) of the DM signal integrated value δdu(k) from the reference signal r(k).
Next, a quantizer 30e (sign function) generates a DM signal u′′(k) as a sign of the deviation signal δ′′(k). Then, an amplifier 30f generates an amplified DM signal u(k) by amplifying the DM signal u′′(k) by a predetermined gain Fd. Next, an adder 30g generates the control input φop(k) as the sum of the amplified DM signal u(k) and the predetermined reference value FLAFBASE.
The foregoing control algorithm of the DM controller 30 is expressed by the following equations (52)–(57):

r(k)=−1·Gd·PREVO2(k)9  (52)

σdu(k)=σdu(k−1)+u′′(k−1)  (53)

δ′′(k)=r(k)−σdu(k)  (54)

u′′(k)=sgn(δ′′(k))  (55)

u(k)=Fd·u′′(k)  (56)

φop(k)=FLAFBASE+u(k)  (57)

where Gd and Fd represents gains. The sign function sgn(δ′′(k)) takes the value of 1 (sgn(δ′′(k))=1) when δ′′(k)≧0, and −1 (sgn(δ′′(k))=−1) when δ′′(k)<0 (alternatively, sgn(δ′′(k) maybe set to 0 (sgn(δ′′(k)=0)) when δ′′(k)=0.

As described above, in the ΣΔ modulation algorithm applied to the DM controller 29, DM signal u′′(k) is se to 1 when the deviation signal δ′′(k) is equal to or larger than zero, and to −1 when the integrated deviation value σd(k) is less than zero.
The foregoing control algorithm for the DM controller 30, i.e., the Δ modulation algorithm is characterized in that the DM signal u(k) can be generated (calculated) such that the reference signal r(k) is reproduced at the output of the controlled object when the DM signal u(k) is inputted to the controlled object, as is the case with the aforementioned ΔΣ modulation algorithm and Σα modulation algorithm. In other words, the DM controller 30 has the characteristic of generating the control input φop(k) similar to the aforementioned DSM controller 24 and SDM controller 29. Therefore, the air/fuel ratio control apparatus 601 according to the sixth embodiment, which utilizes the DM controller 30, can provide similar advantages to the air/fuel ratio control apparatus 1 according to the first embodiment. Though no specific program is shown for the DM controller 30, such a program may be organized substantially similar to the DSM controller 24.
Next, an air/fuel ratio control apparatus according to a seventh embodiment will be described with reference to FIGS. 46 and 47. As illustrated in FIG. 46, the air/fuel ratio control apparatus 701 according to the seventh embodiment differs from the air/fuel ratio control apparatus 1 according to the first embodiment only in that the engine 3 is not provided with the LAF sensor 14, and the O2 sensor 15 is disposed downstream of the second catalyzer 8b. 
Since the LAF sensor 14 is not provided, the air/fuel ratio control apparatus 701 relies on the on-board identifier 23 to calculate the model parameters a1, a2, b1 based on the output Vout of the O2 sensor 15, and the control input φop(k) (target air/fuel ratio KCMD), as illustrated in FIG. 47. In other words, the on-board identifier 23 calculates the identified values a1′, a2′, b1′ for the model parameters in accordance with the identification algorithm expressed by the equation (8)–(15) in FIG. 5, and limits these identified values in the manner described above to calculate the model parameters a1, a2, b1.
Further, the state predictor 22 calculates the predicted value PREVO2 of the output deviation VO2 based the model parameters a1, a2, b1, output Vout of the O2 sensor 15, and control input φop. In other words, the state predictor 22 calculates the predicted value PREVO2 of the output deviation VO2 in accordance with the prediction algorithm expressed by the equation (6) in FIG. 4. Though no specific programs are shown for the processing performed by the state predictor 22 and on-board identifier 23, such programs may be organized substantially similar to those in the first embodiment. Other programs may also be organized in a similar manner to those in the first embodiment.
Due to the absence of the LAF sensor 14, the air/fuel ratio control apparatus 701 modifies the fuel injection control processing in FIG. 13 as follows. Steps 8, 9 are omitted, and the required fuel injection amount #nTCYL for each cylinder is calculated at step 11 as the product of the basic fuel injection amount Tim, total correction coefficient KTOTAL, and corrected target air/fuel ratio KCMDM.
The air/fuel ratio control apparatus 701 according to the seventh embodiment as described above can provide similar advantages to the air/fuel ratio control apparatus 1 according to the first embodiment. Particularly, when the air/fuel ratio is controlled only by the O2 sensor 15, as in the seventh embodiment, by setting the gain KRDSM for reference signal value to different values at steps 192–194 in FIG. 34 for controlling exhaust gases to be leaner and richer to converge the target air/fuel ratio KCMD to the target value Vop at different rates, the air/fuel ratio control apparatus 701 can ensure a satisfactory exhaust gas purification percentage to provide a satisfactory post-catalyst exhaust gas characteristic without fail for changing the air/fuel ratio of the air/fuel mixture to be richer and leaner. In addition, since the suitable post-catalyst exhaust gas characteristic can be ensured without using the LAF sensor 14, the manufacturing cost can be saved correspondingly.
Next, an air/fuel ratio control apparatus according to an eighth embodiment will be described with reference to FIG. 48. As illustrated, the air/fuel ratio control apparatus 801 according to the eighth embodiment differs from the air/fuel ratio control apparatus 1 according to the seventh embodiment in that the ADSM controller 20, PRISM controller 21, and on-board identifier 23 in the seventh embodiment are replaced with the schedule type DSM controller 20A, schedule type state prediction sliding mode controller 21A, and parameter scheduler 28 in the fourth embodiment. These controllers 20A, 21A and parameter scheduler 28 are configured in a manner similar to those in the fourth embodiment. The air/fuel ratio control apparatus 801 according to the eighth embodiment can provide similar advantages to the air/fuel ratio control apparatus 1 according to the seventh embodiment. In addition, the model parameters a1, a2, b1 can be calculated faster when the parameter scheduler 28 is used than when the on-board identifier 23 is used. This can improve the responsibility of the control and more rapidly ensure a satisfactory post-catalyst exhaust gas characteristic.
The ADSM controller 20 and PRISM controller 21 may be implemented in hardware in place of the programs as illustrated in the embodiments.
As described above, the air/fuel ratio control apparatus for an internal combustion engine according to the present invention can maintain a satisfactory exhaust gas purification percentage irrespective of whether or not the catalyst is deteriorated when the perturbation control is conducted, thereby improving the post-catalyst exhaust gas characteristics.

## Claims

1. An air/fuel ratio control method for an internal combustion engine comprising the steps of:
detecting an output of an air/fuel ratio sensing means indicative of an air/fuel ratio of exhaust gases at a location downstream of a catalyst in an exhaust passage of said internal combustion engine;
setting a target air/fuel ratio for converging the output of said air/fuel ratio sensing means to a predetermined target value such that the output of said air/fuel ratio sensing means fluctuates over a predetermined amplitude and at a predetermined frequency higher when the output of said air/fuel ratio sensing means is near said predetermined target value than when the output of said air/fuel ratio sensing means is not near said predetermined target value; and
controlling the air/fuel ratio of an air/fuel mixture supplied to said internal combustion engine in accordance with the set target air/fuel ratio,
wherein said target air/fuel ratio is set based on one of a Δ modulation algorithm, a ΔΣ modulation algorithm and a ΣΔ modulation algorithm, and
wherein said step of setting a target air/fuel ratio setting includes;
calculating a predicted value for a value indicative of the output of said air/fuel ratio sensing means based on a prediction algorithm; and
calculating said target air/fuel ratio based on said calculated predicted value in accordance with said one modulation algorithm.

2. An air/fuel ratio control method for an internal combustion engine according to claim 1, wherein said prediction algorithm is an algorithm based on a controlled object model which has a variable associated with a value indicative the value of said air/fuel ratio sensing means, and a variable associated with said target air/fuel ratio.

3. An air/fuel ratio control method for an internal combustion engine comprising the steps of:
detecting an output of an air/fuel ratio sensing means indicative of an air/fuel ratio of exhaust gases at a location downstream of a catalyst in an exhaust passage of said internal combustion engine;
setting a target air/fuel ratio for converging the output of said air/fuel ratio sensing means to a predetermined target value such that the output of said air/fuel ratio sensing means fluctuates over a predetermined amplitude and at a predetermined frequency higher when the output of said air/fuel ratio sensing means is near said predetermined target value than when the output of said air/fuel ratio sensing means is not near said predetermined target value; and
controlling the air/fuel ratio of an air/fuel mixture supplied to said internal combustion engine in accordance with the set target air/fuel ratio,
wherein said target air/fuel ratio is set based on one of a Δ modulation algorithm, a ΔΣ modulation algorithm and a ΣΔ modulation algorithm, and
wherein said step of setting a target air/fuel ratio includes;
calculating said target air/fuel ratio based on a discrete time based controlled object model which has a variable associated with time-series data of a value indicative of said target air/fuel ratio and time-series data of a value indicative of the output of said air/fuel ratio sensing means in accordance with said one modulation algorithm; and
sequentially identifying model parameters of said discrete time based controlled object model
further comprising the step of:
detecting an operating condition parameter indicative of an operating condition of said internal combustion engine,
wherein said step of setting a target air/fuel ratio includes:
calculating said target air/fuel ratio based on a controlled object model which has a variable associated with a value indicative of the output of said air/fuel ratio sensing means and a variable associated with a value indicative of said target air fuel ratio in accordance with said one modulation algorithm; and
setting model parameters for said controlled object model in accordance with the detected operating condition parameter.

4. An air/fuel ratio control method for an internal combustion engine according to claim 3, wherein said step of calculating a target air/fuel ratio includes:
calculating a predicted value of the value indicative of the output of said air/fuel ratio sensing means based on said prediction algorithm which applies said controlled object model; and
calculating said target air/fuel ratio based on the calculated prediction value in accordance with said one modulation algorithm.

5. An air/fuel ratio control apparatus for an internal combustion engine comprising:
air/fuel ratio sensing means for outputting a detection signal indicative of an air/fuel ratio of exhaust gases at a location downstream of a catalyst in an exhaust passage of said internal combustion engine;
target air/fuel ratio setting means for setting a target air/fuel ratio for converging an output of said air/fuel ratio sensing means to a predetermined target value such that the output of said downstream air/fuel ratio sensing means fluctuates over a predetermined amplitude and at a predetermined frequency higher when the output is near said predetermined target value than when the output is not near said predetermined target value; and
air/fuel ratio control means for controlling the air/fuel ratio of an air/fuel mixture supplied to said internal combustion engine in accordance with the set target air/fuel ratio;
wherein said target air/fuel ratio setting means sets said target air/fuel ratio based on one of a Δ modulation algorithm, a ΔΣ modulation algorithm and a ΣΔ modulation algorithm;
wherein said target air/fuel ratio setting means includes;
predicted value calculating means for calculating a predicted value for a value indicative of the output of said air/fuel ratio sensing means based on a prediction algorithm; and
target air/fuel ratio calculating means for calculating said target air/fuel ratio based on said calculated predicted value in accordance with said one modulation algorithm.

6. An air/fuel ratio control apparatus for an internal combustion engine according to claim 5, wherein said prediction algorithm is an algorithm based on a controlled object model which has a variable associated with a value indicative the output of said air/fuel ratio sensing means, and a variable associated with said target air/fuel ratio.

7. An air/fuel ratio control apparatus for an internal combustion engine comprising:
air/fuel ratio sensing means for outputting a detection signal indicative of an air/fuel ratio of exhaust gases at a location downstream of a catalyst in an exhaust passage of said internal combustion engine;
target air/fuel ratio setting means for setting a target air/fuel ratio for converging an output of said air/fuel ratio sensing means to a predetermined target value such that the output of said downstream air/fuel ratio sensing means fluctuates over a predetermined amplitude and at a predetermined frequency higher when the output is near said predetermined target value than when the output is not near said predetermined target value; and
air/fuel ratio control means for controlling the air/fuel ratio of an air/fuel mixture supplied to said internal combustion engine in accordance with the set target air/fuel ratio;
wherein said target air/fuel ratio setting means sets said target air/fuel ratio based on one of a Δ modulation algorithm, a ΔΣ modulation algorithm and a ΣΔ modulation algorithm;
further comprising;
operating condition parameter detecting means for detecting an operating condition parameter indicative of an operating condition of said internal combustion engine,
wherein said target air/fuel ratio setting means includes:
target air/fuel ratio calculating means for calculating said target air/fuel ratio based on a controlled object model which has a variable associated with a value indicative of the output of said air/fuel ratio sensing means and a variable associated with a value indicative of said target air fuel ratio in accordance with said one modulation algorithm; and
model parameter setting means for setting model parameters for said controlled object model in accordance with the operating condition parameter detected by said operating condition parameter detecting means.

8. An air/fuel ratio control apparatus for an internal combustion engine according to claim 7, wherein said target air/fuel ratio calculating means calculates a predicted value of the value indicative of the output of said air/fuel ratio sensing means based on said prediction algorithm which applies said controlled object model, and calculates said target air/fuel ratio based on the calculated prediction value in accordance with said one modulation algorithm.

9. An engine control unit including a control program for causing a computer to detect an output of an air/fuel ratio sensing means indicative of an air/fuel ratio of exhaust gases at a location downstream of a catalyst in an exhaust passage of an internal combustion engine; set a target air/fuel ratio for converging the output of said air/fuel ratio sensing means to a predetermined target value such that the output of said air/fuel ratio sensing means fluctuates over a predetermined amplitude and at a predetermined frequency higher when the output of said air/fuel ratio sensing means is near said predetermined target value than when the output of said air/fuel ratio sensing means is not near said predetermined target value; and control the air/fuel ratio of an air/fuel mixture supplied to said internal combustion engine in accordance with the set target air/fuel ratio,
wherein said control program causes the computer to set said target air/fuel ratio based on one of a . Δ. modulation algorithm, a .ΔΣ. modulation algorithm and a . . ΣΔ. modulation algorithm, and
wherein said control program causes the computer to calculate a predicted value for a value indicative of the output of said air/fuel ratio sensing means based on a prediction algorithm; and calculate said target air/fuel ratio based on said calculated predicted value in accordance with said one modulation algorithm.

10. An engine control unit according to claim 9, wherein said prediction algorithm is an algorithm based on a controlled object model which has a variable associated with a value indicative of the output of said air/fuel ratio sensing means, and a variable associated with said target air/fuel ratio.

11. An engine control unit including a control program for causing a computer to detect an output of an air/fuel ratio sensing means indicative of an air/fuel ratio of exhaust gases at a location downstream of a catalyst in an exhaust passage of an internal combustion engine; set a target air/fuel ratio for converging the output of said air/fuel ratio sensing means to a predetermined target value such that the output of said air/fuel ratio sensing means fluctuates over a predetermined amplitude and at a predetermined frequency higher when the output of said air/fuel ratio sensing means is near said predetermined target value than when the output of said air/fuel ratio sensing means is not near said predetermined target value; and control the air/fuel ratio of an air/fuel mixture supplied to said internal combustion engine in accordance with the set target air/fuel ratio,
wherein said control program causes the computer to set said target air/fuel ratio based on one of a . Δ. modulation algorithm, a .ΔΣ. modulation algorithm and a . . ΣΔ. modulation algorithm, and
wherein said control program causes the computer to detect an operating condition parameter indicative of an operating condition of said internal combustion engine;
calculate said target air/fuel ratio based on a controlled object model which has a variable associated with a value indicative of the output of said air/fuel ratio sensing means and a variable associated with a value indicative of said target air fuel ratio in accordance with said one modulation algorithm; and set model parameters for said controlled object model in accordance with the detected operating condition parameter.

12. An engine control unit according to claim 11, wherein said control program causes the computer to calculate a predicted value of the value indicative of the output of said air/fuel ratio sensing means based on said prediction algorithm which applies said controlled object model; and calculate said target air/fuel ratio based on the calculated prediction value in accordance with said one modulation algorithm.