Patent Description:
As an existing controller of an air-conditioning system, there is a controller comprising a feedback controller (PID controller) for automatically controlling a predetermined process (see, e.g., Patent Literature <NUM>). The PID controller comprising the PID controller changes output of the PID controller stepwise within a certain range. At this time, the PID controller identifies parameters (dead time, a primary delay time constant, and process gain) on the basis of output of a control target. Then, the PID controller determines parameters of the PID controller on the basis of a predetermined equation by using the parameters of the control target. Patent document <CIT> is considered relevant and relates to an electronic digital thermostat which is capable of use in a pneumatically controlled temperature control system of the type which has a pneumatic supply line which extends to various components of the control system and wherein the control elements of the system are controlled by varying the control pressure that is communicated to such elements. The thermostat is capable of operating in a LAN system environment, and can be retrofitted into unit ventilators and the like as a substitute for a conventional pneumatic thermostat.

Patent Literature <NUM>: Japanese Unexamined Patent Application Publication <CIT> (see, e.g., paragraphs [<NUM>] to [<NUM>] and <FIG>).

In Patent Literature <NUM>, in identifying the parameters of the control target, it is necessary to change the output of the PID controller stepwise, so that it is necessary to perform operation that is different from normal operation of the air-conditioning system and is dedicated for parameter identification.

In addition, in performing parameter identification, the primary delay time constant of the control target is calculated by using a time taken for the control target to increase to <NUM> % of a final increase amount when the output of the PID controller is changed stepwise, so that it is necessary to wait until the control target reaches the final increase amount when the output of the PID controller is changed stepwise.

Therefore, in the air-conditioning system in which the heat capacity of the control target is large, a long time is taken until the parameters are obtained, so that there is a possibility that the comfort is impaired.

In addition, the control target is approximated on the basis of the dead time and the primary delay time constant. Thus, there is a possibility that the identified parameters are greatly different depending on an initial state in changing the output of the PID controller stepwise. Furthermore, a model of the control target is identified from only the output of the PID controller and the output of the control target. Thus, there is a problem that the influence of a disturbance such as outdoor air temperature cannot be modeled.

The present invention has been made in consideration of the above-described problems, and an object of the present invention is to provide a controller, of an air-conditioning system, which does not impair comfort even during parameter determination, and a method for controlling the air-conditioning system.

A controller of an air-conditioning system according to the present invention and a method for controlling the an air-conditioning system are outlined in the independent claims. Advantageous further developments of the invention are set forth in the dependent claims.

With the controller of the air-conditioning system according to the present invention, since the parameter of the feedback control unit is determined from data during normal operation, it is not necessary to perform a certain dedicated operation in which there is a possibility that the room temperature of the control target deviates from a set target temperature, and it is possible to continuously control the room temperature to the target value even during parameter determination, so that there is an effect that comfort is not impaired even during parameter determination.

Hereinafter, Embodiments of the present invention will be described with reference to the drawings. The present invention is defined in the appended claims and is not limited to the specific Embodiments described below. In addition, the relationship of the size of each constituent element in the drawings described below may be different from actual relationship.

<FIG> is a block diagram of a controller <NUM> of an air-conditioning system according to Embodiment <NUM> of the present invention.

The air-conditioning system according to Embodiment <NUM> comprises the controller <NUM>, and controls a room temperature of a construction that is a control target <NUM>, by the controller <NUM>.

In Embodiment <NUM>, the control target <NUM> is assumed to be a house here, but the control target <NUM> may be another construction, such as a building, a factory, or each room of a house or a building.

As a method for performing air-conditioning of a house, there is a method in which a room air-conditioning device is mounted in some of rooms in the house, and there is a method in which water is boiled by a heat pump or another device provided to the house, the boiled water is sent to a place to be heated, and heating is performed by using a heat radiating device such as a radiator or a fan coil. In addition, there is also a method in which a duct is passed into each room of the house, and warm air or cold air is generated by a heat pump and is sent to each room through the duct, thereby performing cooling or heating.

Embodiment <NUM> will be described with, as an example, a system (hereinafter, referred to as Air to Water system and abbreviated as ATW system, or referred to as whole-building hot water heating system) in which hot water is generated by a heat pump and is sent to a place to be heated, and heating is performed by using a heat radiating device such as a radiator or a fan coil.

In the ATW system, hot water is generated under control according to a hot water temperature command and is sent to a heat radiating device such as a radiator, and the interior of the house, which is the control target <NUM>, is heated.

The controller <NUM> of the air-conditioning system comprises a control target heat characteristic model calculation unit <NUM>, a control parameter determination unit <NUM>, an external environment measurement unit <NUM>, a feedback control unit <NUM>, and a temperature command generation unit <NUM>.

To the control target heat characteristic model calculation unit <NUM>, a hot water temperature and a flow rate each of which is a state quantity regarding an amount of heat supplied to the house, which is the control target <NUM>, a room temperature within the house, and an outdoor air temperature and an amount of solar radiation that are disturbances measured by the external environment measurement unit <NUM>, are input.

In the ATW system, when the flow rate of hot water sent within the house is uniform, the state quantity regarding the amount of heat supplied to the house may be only the hot water temperature.

Heat transport equation parameters are calculated on the basis of the above respective input values and are output to the control parameter determination unit <NUM>. The heat transport equation parameters will be described later. The heat transport equation parameters correspond to a "parameter of a model regarding a heat characteristic of a control target" of the present invention.

The control parameter determination unit <NUM> determines a control parameter on the basis of the heat transport equation parameters input from the control target heat characteristic model calculation unit <NUM>, and outputs the parameter to the feedback control unit <NUM>. The control parameter will be described later.

The feedback control unit <NUM> performs feedback control of a room temperature of the control target <NUM> on the basis of the input information.

The temperature command generation unit <NUM> outputs, to the feedback control unit <NUM>, a target value (temperature command) of the room temperature that is designated by a remote control, a Home Energy Management System (HEMS), a programmable thermostat, or another device.

<FIG> is a block diagram of the feedback control unit <NUM> of the controller <NUM> of the air-conditioning system according to Embodiment <NUM> of the present invention.

The feedback control unit <NUM> comprises therein a PID control unit <NUM> and a state quantity control unit <NUM>. The PID control unit <NUM> performs PID control on the basis of the above control parameter that is a parameter for performing PID control (i.e., a parameter of the PID control unit <NUM>) and the difference between the temperature command (the target value of the room temperature) and a measured room temperature, generates a state quantity command, and outputs the generated state quantity command to the state quantity control unit <NUM>.

P means proportion, I means integration, and D means differentiation. When PI control without differentiation is performed as PID control, the control parameter determination unit <NUM> determines a control parameter for performing PI control.

<FIG> is a block diagram of the state quantity control unit <NUM> of the feedback control unit <NUM> of the controller <NUM> of the air-conditioning system according to Embodiment <NUM> of the present invention.

The state quantity control unit <NUM> comprises therein a feedback control unit II <NUM> and a refrigeration cycle <NUM>. In the case of the ATW system, an example of the state quantity command within the feedback control unit <NUM> is a hot water temperature command as shown in <FIG>, and the feedback control unit II <NUM> controls the refrigeration cycle <NUM> of the heat pump such that hot water corresponding to the hot water temperature command (a target value of the hot water temperature) is generated.

<FIG> is a control parameter determination flowchart of the feedback control unit <NUM> of the controller <NUM> of the air-conditioning system according to Embodiment <NUM> of the present invention, and <FIG> is a diagram showing a thermal network model according to Embodiment <NUM> of the present invention.

Hereinafter, control parameter determination flow of the feedback control unit <NUM> will be described with reference to <FIG>.

First, a process in step <NUM> is performed, and during normal operation of the air-conditioning system, the state quantity regarding the amount of heat supplied to the house, the room temperature, the outdoor air temperature, and the amount of solar radiation are recorded in the control target heat characteristic model calculation unit <NUM> every moment.

When the control parameter of the feedback control unit <NUM> has never been updated by the control parameter determination unit <NUM>, the feedback control unit <NUM> is activated with a control parameter that is initially set.

Next, a process in step <NUM> is performed, the state quantity regarding the amount of heat supplied to the house, the room temperature, the outdoor air temperature, and the amount of solar radiation are recorded for a designated certain period, and then parameters of a model regarding the heat characteristic of the house are calculated from the recorded state quantity regarding the amount of heat supplied to the house, the recorded room temperature, the recorded outdoor air temperature, and the recorded amount of solar radiation.

In Embodiment <NUM>, the thermal network model shown in <FIG> is the model regarding the heat characteristic of the house, which is the control target <NUM>. Heat generated by equipment and human body is previously recorded within the control target heat characteristic model calculation unit <NUM> as a standard value for each house.

At this time, heat transport equations for the house that are formulas derived from the model regarding the heat characteristic of the house are the following Formulas (<NUM>) to (<NUM>).

Here, each superscript i indicates a room number, and i = <NUM> in the ATW system in which whole-building air-conditioning is employed and the house is considered as a single heat characteristic model. In addition,.

When the state quantity regarding the amount of heat supplied to the house is the hot water temperature and the flow rate, QHVAC = hot water temperature × flow rate. When the state quantity regarding the amount of heat supplied to the house is only the hot water temperature, QHVAC = hot water temperature.

In the control target heat characteristic model calculation unit <NUM>, the heat transport equation parameters composed of R<NUM>, R<NUM>, Rz, C<NUM>, C<NUM>, Cz, α, β, γ, and δ that are parameters of the above heat transport Equations (<NUM>) to (<NUM>), or composed of a combination thereof, is calculated by using the recorded hot water temperature and flow rate, each of which is the state quantity regarding the amount of heat supplied to the house, the recorded room temperature, the recorded outdoor air temperature, and the recorded amount of solar radiation. Then, the calculated heat transport equation parameters are sent to the control parameter determination unit <NUM>.

<FIG> is a diagram showing a transfer function representation of a control target heat characteristic model <NUM> according to Embodiment <NUM> of the present invention, <FIG> is a block diagram showing an internal simulator of the control parameter determination unit <NUM> of the controller <NUM> of the air-conditioning system according to Embodiment <NUM> of the present invention, and <FIG> is a diagram showing an example of output of the internal simulator of the control parameter determination unit <NUM> of the controller <NUM> of the air-conditioning system according to Embodiment <NUM> of the present invention.

Next, the control parameter determination unit <NUM> performs a process in step <NUM>. The control parameter determination unit <NUM> determines a transfer function F1(S) from the amount of heat QHVAC supplied from the air-conditioning system to the house to the room temperature Tz, and a transfer function F2(S) from the outdoor air temperature T<NUM> to the room temperature Tz by using the above heat transport Equations (<NUM>) to (<NUM>) and the heat transport equation parameters calculated by the control target heat characteristic model calculation unit <NUM>.

The simulator shown in <FIG> using the transfer functions F1(S) and F2(S) of the control target heat characteristic model <NUM> shown in <FIG> is incorporated in the control parameter determination unit <NUM>, and the control target heat characteristic model <NUM> inputs the state quantity into the transfer function F1(S) and inputs the disturbances into the transfer function F2(S), thereby outputting a room temperature.

In the simulator, simulation in which a stepwise target command from a target command generation unit <NUM> and a stepwise disturbance from a disturbance generation unit <NUM> are applied is performed for each combination of the control parameter, while the value of the control parameter of the feedback control unit <NUM> is changed according to a predetermined rule.

In the simulation, a time Ta taken until initially reaching the target value when the target command changes stepwise as shown in <FIG>, a maximum overshoot amount Ka, a time Tb taken until falling into a specified error range when a stepwise disturbance is applied, and a maximum overshoot amount Kb are calculated. Then, a combination of the control parameter that provides a minimum weighted sum of Ta, Ka, Tb, and Kb is selected as a candidate. Tc taken until falling into a specified error range when the target command changes stepwise may be used instead of Ta.

The value of the control parameter selected as the candidate is multiplied by a correction coefficient and then sent to the feedback control unit <NUM>. In the feedback control unit <NUM>, if update of the control parameter is designated by an operator or another person, the control parameter is updated with the value sent from the control parameter determination unit <NUM> when the controller <NUM> of the air-conditioning system is turned on again after being turned off.

The control parameter may be changed to the above sent value by using a moving average filter having a previously designated window length.

<FIG> is a diagram showing a thermal network model Part <NUM> according to Embodiment <NUM> of the present invention, and <FIG> is a diagram showing a thermal network model Part <NUM> according to Embodiment <NUM> of the present invention.

Embodiment <NUM> has been described with, as an example, the case where heat generated by equipment and human body is taken into consideration. In the house, the ratio of heat generated by equipment and human body is often low and can be neglected in many cases. In such a case, the control target heat characteristic model <NUM> becomes one in <FIG>, and in the Formulas (<NUM>) to (<NUM>), the values of QEQP and QOCC are always regarded as <NUM>, and calculation is performed.

When solar radiation is also neglected, the control target heat characteristic model <NUM> becomes one in <FIG>, and in the Formulas (<NUM>) to (<NUM>), Qs as well as QEQP and QOCC are always regarded as <NUM>, and calculation is performed.

Due to the above, according to Embodiment <NUM>, since the control parameter of the PID control unit <NUM> within the feedback control unit <NUM> is determined from data during normal operation of the air-conditioning system, it is not necessary to perform dedicated operation in which there is a possibility that the room temperature of the control target <NUM> deviates from a set target temperature, and it is possible to continuously control the room temperature to the target value even during control parameter determination, so that there is an effect that comfort is not impaired even during control parameter determination.

Also in a hot water heating system for a house having a large heat capacity, there is an effect that it is not necessary to wait for a long period of time for control parameter determination. In addition, since the model in which the heat characteristic of the control target <NUM> is explicitly represented is used, there is also an effect that a state when operation data for control parameter determination is collected is less influential.

Since the parameters of the model in which the heat characteristic of the control target <NUM> is explicitly represented are identified from information of disturbances such as the outdoor air temperature and solar radiation and input and output of the control target <NUM>, there is an effect that it is possible to determine the control parameter in consideration of influence of the disturbances such as influence of the outdoor air temperature or solar radiation, in addition to followability to a temperature set value.

Hereinafter, Embodiment <NUM> will be described. The description of the same parts as in Embodiment <NUM> is omitted, and parts that are the same as or correspond to those in Embodiment <NUM> are designated by the same reference signs.

<FIG> is a block diagram of a controller <NUM> of an air-conditioning system according to Embodiment <NUM> of the present invention, and <FIG> is a parameter determination flowchart of the feedback control unit <NUM> of the controller <NUM> of the air-conditioning system according to Embodiment <NUM> of the present invention.

Embodiment <NUM> is different from Embodiment <NUM> in that the external environment measurement unit <NUM> is not included, and the outdoor air temperature and the amount of solar radiation, which are disturbances, are not used for parameter calculation of the control target heat characteristic model calculation unit <NUM>.

Hereinafter, parameter determination flow of the feedback control unit <NUM> will be described with reference to <FIG>.

First, a process in step <NUM> is performed, and during normal operation of the air-conditioning system, the state quantity regarding the amount of heat supplied to the house and the room temperature are recorded in the control target heat characteristic model calculation unit <NUM> every moment.

Next, a process in step <NUM> is performed, and the parameters of the control target heat characteristic model <NUM> are calculated by the control target heat characteristic model calculation unit <NUM> from the recorded state quantity regarding the amount of heat supplied to the house and the measured room temperature.

Heat generated by equipment and human body is previously recorded within the control target heat characteristic model calculation unit <NUM> as a standard value for each house. In addition, the amount of solar radiation is regarded as <NUM> and neglected.

Regarding the outdoor air temperature, the outdoor air temperature is assumed to agree with the initial value of the room temperature recorded in step <NUM>, and the parameters composed of R<NUM>, R<NUM>, Rz, C<NUM>, C<NUM>, Cz, α, β, γ, and δ or a combination thereof are calculated similarly to Embodiment <NUM>. α and β are regarded as <NUM> since solar radiation is neglected.

Next, the control parameter determination unit <NUM> performs a process in step <NUM>. First, the control parameter determination unit <NUM> calculates a transfer function F1(S) from the amount of heat QHVAC supplied from the air-conditioning system to the house to the room temperature Tz, by using the above heat transport Equations (<NUM>) to (<NUM>) and the heat transport equation parameters calculated by the control target heat characteristic model calculation unit <NUM>.

The simulator shown in <FIG> using the transfer functions of the control target heat characteristic model <NUM> shown in <FIG> is incorporated in the control parameter determination unit <NUM>, and F1(S) is used as the heat characteristic model in <FIG>.

In the simulator, simulation in which a stepwise target command and a stepwise disturbance are applied as shown in <FIG> is performed for each combination of the control parameter, while the value of the control parameter of the feedback control unit <NUM> is changed according to a predetermined rule.

In the simulation performed for each combination, the time Ta taken until initially reaching the target value when the target command changes stepwise as shown in <FIG>, and the maximum overshoot amount Ka are calculated, and a combination of the control parameter that provides a minimum weighted sum of Ta, and Ka is selected as a candidate of the parameter. The time Tc taken until falling into a specified error range when the target command changes stepwise may be used instead of Ta.

The value of the selected control parameter is multiplied by a correction coefficient and then sent to the feedback control unit <NUM>. In the feedback control unit <NUM>, if update of the control parameter is designated by an operator or another person, the control parameter is updated with the value sent from the control parameter determination unit <NUM> when the controller <NUM> of the air-conditioning system is turned on again after being turned off.

The control parameter may be changed to the sent value by using a moving average filter having a previously designated window length.

Due to the above, according to Embodiment <NUM>, information about the outdoor air temperature and solar radiation is not used, so that there is an effect that it is possible to determine the control parameter even without measuring external environment information.

<FIG> is a diagram showing an example of a designation range of a pole arrangement of a controller of an air-conditioning system according to Embodiment <NUM> of the present invention.

Embodiment <NUM> is different from Embodiment <NUM> only in the control parameter determination method in the control parameter determination unit <NUM>.

In the control parameter determination unit <NUM>, a transfer function of a closed loop composed of the feedback control unit <NUM> and the control target heat characteristic model <NUM> shown in the block diagram of <FIG> in the case of using F1(S) as a heat characteristic model is defined as G1(S), and a pole of G1(S) is calculated while the value of the control parameter of the feedback control unit <NUM> is changed according to a predetermined rule.

Then, at the calculated pole of G1(S), within the designation range shown in <FIG>, a value of the control parameter with which a pole closest to the origin is away from the origin is selected. The selected value of the control parameter is multiplied by a predetermined correction coefficient and sent to the feedback control unit <NUM>.

Due to the above, according to Embodiment <NUM>, the control parameter of the feedback control unit <NUM> is determined on the basis of the position of the pole of the transfer function, so that there is an effect that it is possible to shorten the time taken until the control parameter of the feedback control unit <NUM> is calculated after the parameters of the control target heat characteristic model <NUM> are calculated.

In the control parameter determination unit <NUM>, a transfer function of a closed loop composed of the feedback control unit <NUM> and the control target heat characteristic model <NUM> shown in the block diagram of <FIG> in the case of using F1(S) as a heat characteristic model is defined as G1(S), and the control parameter is determined such that a coefficient of a denominator polynomial of G1(S) is a predetermined ratio.

When the denominator polynomial of G1(S) is.

The values of the Formula (<NUM>) and the Formula (<NUM>) are not limited to <NUM>, <NUM>, <NUM>, etc., and may be other values such as <NUM>, <NUM>, and <NUM>.

Due to the above, according to Embodiment <NUM>, the control parameter of the feedback control unit <NUM> is determined from the ratio of the coefficient of the denominator of the transfer function, so that there is an effect that it is possible to shorten the time taken until the control parameter of the feedback control unit <NUM> is calculated after the parameters of the control target heat characteristic model <NUM> are calculated.

<FIG> is a block diagram of the state quantity control unit <NUM> of the feedback control unit <NUM> of a controller of an air-conditioning system according to Embodiment <NUM> of the present invention.

In Embodiment <NUM>, the hot water temperature command is taken as an example of the state quantity command within the feedback control unit <NUM>. In Embodiment <NUM>, a frequency command for a compressor of the refrigeration cycle <NUM> is used as the state quantity command, and the state quantity control unit <NUM> within the feedback control unit <NUM> in <FIG> controls the frequency of the compressor as shown in <FIG>.

In Embodiment <NUM>, the frequency of the compressor is used as the state quantity regarding the amount of heat supplied to the house and the amount of heat QHVAC supplied from the air-conditioning system to the house.

Instead of the frequency of the compressor, the frequency command for the compressor may be used.

Due to the above, according to Embodiment <NUM>, the parameters of the control target heat characteristic model <NUM> are calculated by using the frequency of the compressor, so that there is an effect that it is possible to determine the control parameter even when there is an error in a measured value of the hot water temperature.

Embodiment <NUM> has been described with the ATW system in which hot water is generated by a heat pump, sent to a place to be heated, and heating is performed by using a heat radiating device such as a radiator or a fan coil. Embodiment <NUM> is described with a duct air-conditioning system that performs whole-building air-conditioning by sending warm air or cold air to a duct running over each room.

In the duct air-conditioning system which performs whole-building air-conditioning, the state quantity command within the feedback control unit <NUM> in <FIG> is a blown-out temperature command in <FIG>, and the state quantity control unit <NUM> in <FIG> is illustrated in detail in <FIG>.

In Embodiment <NUM>, a blow-out temperature of air blown out to the duct is used as the state quantity regarding the amount of heat supplied to the house and the amount of heat QHVAC supplied from the air-conditioning system to the house. In the case where the air speed of the air blown out to the duct is made variable by a fan, the state quantity regarding the amount of heat supplied to the house is the blow-out temperature and the air speed, and the amount of heat QHVAC supplied from the air-conditioning system to the house is blow-out temperature × air speed.

Due to the above, according to Embodiment <NUM>, the heat transport equation parameters of the control target heat characteristic model <NUM> are calculated on the basis of the blow-out temperature of the air blown out to the duct of the duct air-conditioning system which performs whole-building air-conditioning, so that there is an effect that it is possible to determine the control parameter of the feedback control unit <NUM> of the duct air-conditioning system which cools or heats the whole building through the duct, without dedicated operation.

Embodiment <NUM> has been described with the ATW system in which hot water is generated by a heat pump, sent to a place to be heated, and heating is performed by using a heat radiating device such as a radiator or a fan coil. Embodiment <NUM> is described with an individual air-conditioning system for each room in which a room air-conditioning device is mounted at each of some of the rooms of the house.

In the individual air-conditioning system for each room, the state quantity command within the feedback control unit <NUM> in <FIG> is a blown-out temperature command in <FIG>, and the state quantity control unit <NUM> in <FIG> is illustrated in detail in <FIG>. In Embodiment <NUM>, a blow-out temperature of air blown out to each room is used as the state quantity regarding the amount of heat supplied to the house and the amount of heat QHVAC supplied from the air-conditioning system to the house.

In the case where the air speed of the blown-out air is made variable by a fan, the state quantity regarding the amount of heat supplied to the house is the blow-out temperature and the air speed, and the amount of heat QHVAC supplied from the air-conditioning system to the house is blow-out temperature × air speed.

The heat transport equations which are the Formulas (<NUM>) to (<NUM>) are formulas for each room at which the air-conditioning system is mounted, the control target heat characteristic model <NUM> in <FIG>, <FIG> is a model for each room at which the air-conditioning system is mounted, and a heat characteristic model for each room at which the air-conditioning system is mounted is calculated in the control target heat characteristic model calculation unit <NUM>.

Due to the above, according to Embodiment <NUM>, there is an effect that it is possible to determine the control parameter of the feedback control unit <NUM> of the air-conditioning system mounted at each room, without dedicated operation.

Embodiment <NUM> is different from Embodiment <NUM> in that a state quantity recording unit <NUM> is provided outside the control target heat characteristic model calculation unit <NUM> as shown in <FIG>.

In Embodiment <NUM>, the feedback control unit <NUM>, the control target heat characteristic model calculation unit <NUM>, and the control parameter determination unit <NUM> in <FIG> are incorporated in a controller dedicated for the air-conditioning system. Meanwhile, in Embodiment <NUM>, the feedback control unit <NUM> and the state quantity recording unit <NUM> are incorporated in a controller dedicated for the air-conditioning system, and the control target heat characteristic model calculation unit <NUM> and the control parameter determination unit <NUM> are incorporated in a personal computer that is connected only at the time of control parameter determination.

Then, during normal operation of the air-conditioning system, the state quantity regarding the amount of heat supplied to the house, the room temperature, the outdoor air temperature, and the amount of solar radiation are recorded in the state quantity recording unit <NUM> every moment, and the state quantity regarding the amount of heat supplied to the house, the room temperature, the outdoor air temperature, and the amount of solar radiation that are recorded at the time of control parameter determination are sent to the control target heat characteristic model calculation unit <NUM>.

Due to the above, according to Embodiment <NUM>, the control target heat characteristic model calculation unit <NUM> and the control parameter determination unit <NUM> are incorporated in the personal computer that is connected only at the time of control parameter determination, so that there is an effect that it is possible to reduce the size of a program of the controller dedicated for the air-conditioning system.

Embodiment <NUM> is different from Embodiment <NUM> in that the hot water temperature command shown in <FIG> is used as the state quantity regarding the amount of heat supplied to the house, instead of the hot water temperature.

Due to the above, according to Embodiment <NUM>, the control parameter of the feedback control unit <NUM> is determined by using the hot water temperature command, not by using the hot water temperature, so that it is possible to calculate the heat transport equation parameters of the control target heat characteristic model <NUM> with high accuracy even when there is an error in a measured value of the hot water temperature or when noise is included therein, and there is an effect that it is possible to determine the control parameter of the air-conditioning system without dedicated operation.

Embodiment <NUM> is different from Embodiment <NUM> in that, as shown in <FIG>, a parameter input to the control target heat characteristic model calculation unit <NUM> is not the state quantity regarding the amount of heat supplied to the house, which is the control target <NUM>, and is a target value (state quantity command) of the state quantity regarding the amount of heat supplied to the house, which is the control target <NUM>.

As shown in <FIG>, target values (state quantity commands) of the hot water temperature and the flow rate each of which is the state quantity regarding the amount of heat supplied to the house, which is the control target <NUM>, the room temperature within the house, and the outdoor air temperature and the amount of solar radiation which are disturbances measured by the external environment measurement unit <NUM>, are input to the control target heat characteristic model calculation unit <NUM>.

When the flow rate of hot water sent to the inside of the house in the ATW system is uniform, the state quantity regarding the amount of heat supplied to the house may be only the hot water temperature.

The heat transport equation parameters are calculated on the basis of each of the above input values, and are output to the control parameter determination unit <NUM>. In addition, the heat transport equation parameters correspond to a "parameter of a model regarding a heat characteristic of a control target" of the present invention.

Claim 1:
A controller (<NUM> to <NUM>) of an air-conditioning system of a control target, comprising:
- a feedback control unit (<NUM>) configured to generate a state quantity command from a control parameter for feedback control and a difference between a target value of a room temperature and a measured room temperature and control the room temperature to the target value on a basis of the state quantity command;
- a control target heat characteristic model calculation unit (<NUM>) configured to, during normal operation, calculate parameters of heat transport equations (R<NUM>, R<NUM>, Rz, C<NUM>, C<NUM>, Cz, α, β, γ, and δ) from at least one of a state quantity regarding an amount of heat supplied to the control target and the state quantity command, and the measured room temperature, and wherein the parameters correspond to a parameter of a model regarding a heat characteristic of the control target; and
- a control parameter determination unit (<NUM>) configured to calculate the control parameter for feedback control by two transfer functions (F1(s), F2(s)), wherein the first transfer function (F1(s)) is determined from the amount of heat (QHVAC) from the air-conditioning system to the room temperature (Tz) of the control target, and the second transfer function (F2(s)) is determined from the amount of heat of the outdoor air temperature To to the room temperature (Tz) of the control target by using the heat transport equations and the parameters (R<NUM>, R<NUM>, Rz, C<NUM>, C<NUM>, Cz, α, β, γ, and δ) thereof as received from the control target heat characteristic model calculation unit (<NUM>).