Adaptive control electrophotographic apparatus

Abstract: In an adaptive control electrophotographic apparatus, input voltages such as illumination power source voltage and electrostatic charge voltage are varied by a small value, and a resultant density of toner image on a photoconductive substance is detected, then the above-mentioned small value is changed on the basis of difference between the resultant density and an aimed density, after repetition of the trials, the small value is determined on the basis of a qualitative model which is composed of a boundary function including the input voltages and boundary parameters of the apparatus, and if the trend in the difference between the resultant density and the aimed density is to make larger, the qualitative mode is changed so that the trend is to make smaller.

Description: FIELD OF THE INVENTION AND RELATED ART STATEMENT 1. FIELD OF THE INVENTION The present invention relates generally to a control system, and more particularly to an adaptive control system for controlling an electrophotographic apparatus in which relation between input data and output data is automatically selected from a plurality of data so as to realize the most preferable operation in the electrophotographic apparatus. 2. DESCRIPTION OF THE PRIOR ART A copy machine utilizing electrophotographic method in the prior art is shown in Japanese patent Sho 52-037780 (application number Sho 48-072262) and U.S. patent 4,277,162, for example. According to the Japanese patent Sho 52-037780 (application number Sho 48-072262), the surface potential of an electrostatic latent image formed on a part of a drum having photoconductive material is measured by a surface potential detector. Subsequently, a predetermined part of the surface of the photoconductive drum is charged with the potential which is identical with the measured surface potential. Then toner is put on the predetermined part through developing process in a manner which is well known in the art. The toner density of the predetermined part is measured by a density sensor, and supply of toner to the developing device of the copy machine is controlled on the basis of the measured density of the predetermined part. On the other hand, in the prior art of U.S. patent 4,277,162 (see preamble of claims 1 and 4), toner density on a copied paper is measured by a density sensor, and a "transfer voltage" which is applied to a transfer member for holding a copy paper to be transferred is controlled on the basis of the measured toner density. In the above-mentioned density control systems on the electrophotographic copy machines in the prior art, copy density on the copied paper is uniformly varied in compliance with the variation of the supply of toner and the transfer voltage. In other words, a low density part and a high density part of the copied paper are varied in density with the same variation, and "contrast" between the low density part and the high density part is substantially held on a constant value. Consequently, if an operator intends to bring the density into a higher value, "fog" arises on a white ground of the copy paper. In general, the contrast is preferably as high as possible without the "fog". The present invention is in connection with the United States patent Number 5,212,632 having the title of "adaptive control system", filed with United States Patent and Trademark Office on January 22, 1991. OBJECT AND SUMMARY OF THE INVENTION An object of the present invention is to provide an adaptive control electrophotographic apparatus which is controlled in copy density in a manner that the density range of a resultant copy is in coincidence with that of a manuscript or original. The adaptive control electrophotographic apparatus in accordance with the present invention is defined by the features of claims 1 or 4. While the novel features of the invention are set forth particularly in the appended claims, the invention, both as to organization and content, will be better understood and appreciated, along with other objects and features thereof, from the following detailed description taken in conjunction with the drawings. BRIEF DESCRIPTION OF THE DRAWINGS FIG.1 is a perspective view of an electrophotographic apparatus in accordance with the present invention; FIG.2 is a graph of density curves M and T; FIG.3 is a circuit block diagram of a first embodiment of the adaptive control electrophotographic apparatus; FIG.4 is a flow chart of operation of a qualitative model correction circuit and an output sign detection circuit of the first embodiment; FIG.5 is a circuit block diagram of a second embodiment of the adaptive control system in accordance with the present invention; FIG.6 is a circuit block diagram of a third embodiment of an electrophotographic apparatus in accordance with the present invention. It will be recognized that some or all of the Figures are schematic representations for purposes of illustration and do not necessarily depict the actual relative sizes or locations of the elements shown. DESCRIPTION OF THE PREFERRED EMBODIMENT FIG.1 is a perspective view of a main part of an electrophotographic apparatus. A drum 101 having photoconductive substance on the surface thereof is rotated by a driving means (not shown). A charging unit 102 is disposed adjacent to the surface of the drum 101. An illumination light source 103 for exposing the photoconductive substance is placed under a manuscript holder 106A for holding a manuscript 106 to be copied. The image of the manuscript 106 is focused on the surface of the drum 101 by an optical system (not shown) in a manner known in the art. A developing unit 105 is disposed adjacent to the drum 101. A first reference mark 107 and a second reference mark 108 are disposed on the manuscript holder 106A. The density of the first reference mark 107 is represented by "D IN·H " and the density of the second reference mark 108 is represented by "D IN·L ". The density D IN·H is larger than the density D IN·L . A density sensor 112A is disposed under the drum at an end part thereof, and detects densities of toner images 109 and 110 formed on the drum 101 by the first and the second reference marks 107 and 108 in a manner which is obvious to one skilled in the art. The output of the density sensor 112A (or 112B) is automatically calibrated prior to start of operation in a manner that the density sensor 112A (or 112B) detects the surface of the drum 101 (or transfer belt 120) on which no toner is adhered. In operation of the electrophotographic apparatus shown in FIG.1, a "charge voltage u₂" is applied to the charging unit 102, and the photoconductive substance on the drum 101 is charged with static electricity. The illumination light source 103 is activated by an electric power of an "input voltage u₁" and illuminates the manuscript 106 and the first and the second reference marks 107 and 108. The images of the manuscript 106 and the reference marks 107 and 108 are focused on the drum 101 by the optical system. Consequently, the static electricity on the drum 101 is partially reduced in compliance with the images of the manuscript 106 and the reference marks 107 and 108, and a latent image of an electric potential is formed. Subsequently, toner is attached to a part of the latent image of the electric potential by the developing unit 105 to which a "developer bias voltage u₃" is applied, and toner images 109 and 110 are formed on the drum 101. The above-mentioned operation is represented by quantitative relation of equations (1), (2) and (3), (These equations are described in the document of "Imaging Processes and Materials" by J. M. Sturge, published by Van Nostrund Reinhold in 1989, pp. 135-180). log₁₀(E) = log₁₀(p₁ · u₁) - D IN D OUT = p₄(V - u₃) where, D IN : "input density" (high input density D IN·H of the first mark 107 or low input density D IN·L of the second mark 108, for example), D OUT : "output density" (high output density D OUT·H of toner image 109 of the first mark 107 or lows output density D OUT·L of the toner image 110 of the second mark 108 on the drum 101, for example), E: "light energy" dependent upon reflected light from first and second marks 107 and 108, the light energy corresponds to the input density D IN , V: surface potential of the drum 101, the surface potential is reduced by the light energy E, p₁: positive parameter dependent upon the characteristic of the illumination light source 103, p₂: positive parameter dependent upon the natural discharge characteristic of the photoconductive substance of the drum 101, p₃: positive parameter dependent upon transmission factor of the optical system and photo graphic sensitivity of the photoconductive substance, p₄: positive parameter dependent upon the dielectric constant of the photoconductive substance and density of toner of the developing unit 105. Relation between the input density D IN and the output density D OUT calculated by the equations (1), (2) and (3) are shown by "density curves" M and T in FIG.2. In FIG.2, abscissa is graduated by the input density D IN , and ordinate is graduated by the output density D OUT . The density curve M represents the variation of "measured density" of the toner images 109 and 110 of the first and second marks 107 and 108, and the density curve T represents the variation of "target density" thereof. The measured density is represented by a curve connecting between a point (D IN·L , D OUT·L ) and a point (D IN·H , D OUT·H ) which are plotted on the basis of the measured values of the density sensor 112A. The target density is represented by a curve connecting between a point (D IN·L , D T·L ) and a point (D IN·H , D T·H ) which are plotted on the basis of a "desirable high density D T·H " and a "desirable low density D T·L . The midpoint value y₁ of the density curve M is calculated by relation (4), and the gradient y₂ thereof is calculated by relation (5), y₁ = (D OUT·H + D OUT·L )/2 y₂ = (D OUT·H - D OUT·L )/(D IN·H - D IN·L ) Subsequently, elements of an input vector U (= u₁, u₂, u₃) and elements of an output vector Y = (y₁, y₂) are represented by the relations 6A and 6B. y₁ = g₁ (u₁, u₂, u₃) y₂ = g₂ (u₁, u₂, u₃) where, representations g₁ and g₂ show functions including the positive parameters p₁, p₂, p₃ and p₄. If the functions g₁ and g₂ are accurately obtained, an input vector U is so calculated as that the output vector Y is coincident with a target vector Y d representing the target density of the current. However, since the parameters p₁ -- p₄ depend on various conditions of the electrophotographic process such as power source voltage, temperature and humidity, it is very difficult to accurately obtain the functions g₁ and g₂ including these parameters p₁ -- p₄. In the present invention, a boundary parameter Q including the parameters p₁ -- p₄ is defined first. Therefore, the midpoint value y₁ of the density curve M is made to be coincident with the midpoint value y 1-d of the density curve T, and the gradient y₂ of the density curve M is also made to be coincident with the gradient y 2-d of the density curve T by adequately controlling the electrophotographic process by using the boundary parameter Q. The gradient of the density curve M is variable by changing the input voltage u₁ and the charge voltage u₂. In general, when the input voltage u₁ is increased, the density of the toner image is decreased. Then the rate of change of the low output density D OUT·L is larger than that of the high output density D OUT·H . On the other hand, when the charge voltage U₂ is increased, the density of the toner image is increased. Then, the rate of change of the low output density D OUT·L is smaller than that of the high output density D OUT·H . Consequently, the gradient of the density curve M is adjustable by an adequate combination of an input voltage u₁ and a charge voltage u₂. [Control circuit configuration] FIG.3 is a circuit block diagram of a first embodiment of the adaptive control system in accordance with the present invention. Referring to FIG.3, the adaptive control system of the first embodiment comprises; an input variation vector determining circuit 310 for determining an input variation vector; an input vector renewal circuit 311 for renewing the input vector U which is inputted to the copy machine 105; an output sign detection circuit 313 for detecting a sign which represents increase or decrease of variation of a copy density of the copy machine 105 on the basis of the output of a density sensor 112A (increase of variation is represented by "+" and decrease of variation is represented by "-"); an output vector calculation circuit 113; a qualitative model correction circuit 312; and an error sign detection circuit 308. Output vector Y = (y₁, y₂) which is output from the output vector calculation circuit 113 is applied to an output sign detection circuit 313 and an error sign detection circuit 308. The input variation vector determination circuit 310 comprises the following seven elements: (1) input variation vector memory 301: The input variation vector memory 301 stores predetermined twenty-seven input variation vectors ΔU₁ ··· ΔU₂₇. The number of the input variation vector ΔU i is given by (3³). The numeral "3" represents the number of signs "+", "-" and "0", and the exponent "3" of the power is equal to the number of the components of the input variation vector ΔU i . The input variation vector ΔU i comprises three data (Δu₁, Δu₂, Δu₃), and each data is either one of a positive value, a negative value or zero, for example (Δu₁, 0, 0), or (0, -Δu₂, Δu₃). The positive value represents increase of a voltage and the negative value represents decrease of the voltage. "Zero" represents an unchanged value. The data Δu₁, Δu₂ and Δu₃ represent small voltages which are added to the input voltage u₁ of the illumination light source 103, the charge voltage u₂ of the charging unite 102 and the developer bias voltage u₃ of the developing unit 105, respectively. (2) Switch 305A: The switch 305A is closed to input the data of the input variation vector memory 301 to a sign vector detector 302. (3) Sign vector detector 302: The sign vector detector 302 receives an input variation vector ΔU i from the input variation vector memory 301, and outputs a sign vector [ΔU i ] which represents sign (+, - or 0) of each data. Hereinafter, a letter put in brackets [ ] represents sign "+", "-" or "0" of the data represented by the letter. For example, when an input variation vector ΔU i (= 0, -Δu₂, Δu₃) is inputted, a sign vector [ΔU i ] (= 0, -, +) is output. (4) Qualitative model calculation circuit 303: The qualitative model calculation circuit 303 comprises a calculator for predicting a sign of the output "y" which represents a midpoint value y, or a gradient y₂ on the basis of the sign vector [ΔU i ] output from the sign vector detector 302. The calculation is performed in compliance with a predetermined qualitative model, and as a result, a predictive sign data [ΔY and i ] is output. Hereinafter the "^" attached on a letter represents predictive data of the data represented by the letter. The predictive sign data [ΔY and i ] represents a sign for representing a predictive variation direction of the output "y", and comprises one of increase prediction "+", decrease prediction "-", unchanged prediction "0" and impossibility of prediction "?". (5) Switch 305B: The switch 305B is connected between the sign vector detector 302 and a memory 304 and is closed to input the output data of the qualitative model calculation circuit 303 to a memory 304. (6) Memory 304: The predictive sign data [ΔY and i ] output from the qualitative model calculation circuit 303 is memorized in the memory 304 through the switch 305B. In normal operation, twenty-seven predictive sign data [ΔY and₁], [ΔY and₂] .... [ΔY and₂₇] are memorized in the memory 304. (7) Input variation vector selection circuit 309: The input variation vector selection circuit 309 receives a predictive sign data [ΔY and i ] from the memory 304 and an input variation vector ΔU i from the input variation vector memory 301, then one predictive sign data [ΔY and j ] which is coincident with a sign [e] of the value of an error inputted from an error sign detection circuit 308 (which is described hereafter) is selected from entire predictive sign data [ΔY and₁] -- [ΔY and₂₇]. The selected predictive sign data [ΔY and j ] is applied to the qualitative model correction circuit 312. The adaptive control system further comprises the error sign detection circuit 308, an input vector renewal circuit 311 and a qualitative model correction circuit 312. Error sign detection circuit 308: The error sign detection circuit 308 has an error calculation circuit 306 for evaluating a difference between an aimed value "Y d " and the detected value "Y" of the density sensor 112A, and the error "e" calculated thereby is inputted to a sign detection circuit 307. Then a sign [e] of the value of the error "e" is detected by a sign detection circuit 307, and the sign [e] is inputted to the input variation vector selection circuit 309. The sign [e] has one of data of the signs "+", "-" and "0". Namely, the sign [e] has information to increase or to decrease the output "Y" so as to approach a desired output "Y d ", or to maintain the present output. Input vector renewal circuit 311: The input variation vector ΔU j output from the input variation vector selection circuit 309 is added to the present input U by the input vector renewal circuit 311, and a new input U is applied to the copy machine 105. A switch 316 is opened during the above-mentioned addition. Density sensor 112A: Density in the copy machine 105 is detected by the density sensor 112A. The output of the density sensor 112A is applied to an output vector calculation circuit 113. Output vector calculation circuit 113: In the output vector calculation circuit 113, calculations of the relations (4) and (5) are carried out, and the midpoint value y₁ and the gradient y₂ are output to the error sign detection circuit 308 and the output sign detection circuit 313. Qualitative model correction circuit 312: The qualitative model correction circuit 312 receives the input U and the predictive sign data [ΔY and j ]. A sign variation vector [ΔY] which represents variation of a density is detected by the output sign detection circuit 313, and thereby, a switch 314 is closed (Steps 1 and 2 of the flow chart shown in FIG.4). Then the sign variation vector [ΔY] is inputted to the qualitative model correction circuit 312 (Step 3). In the qualitative model correction circuit 312, the sign variation vector [ΔY] is compared with the predictive sign data [ΔY and j ] (Step 4), and when both the sign variation vector [ΔY] and the predictive sign data [ΔY and j ] are not equal, a switch 315 is closed. Consequently, correction output Q is inputted to the qualitative model calculation circuit 303 (Steps 5 and 6), and thereby the qualitative model is corrected. [Qualitative model] The qualitative model is elucidated hereafter. A qualitative relation between the midpoint value y₁ (see relation (4)), the gradient y₂ (see relation (5)) and the voltages u₁, u₂ and u₃ are represented by relations 7A and 7B by using functions g₁ and g₂. The midpoint value y₁ is partially differentiated by the voltage u₁ as shown by equation (8), where, V H : surface potential at a part of the drum 101 at which the reflected light from the first reference mark 107 is applied, V L : surface potential at a part of the drum 101 at which the reflected light from the second reference mark 108 is applied. The midpoint value y₁ is partially differentiated by the voltage u₂ as shown by equation (9), The midpoint value y₁ is partially differentiated by the voltage u₃ as shown by equation (10), ∂y₁ ∂u₃ = -p₄ < 0 The gradient y₂ is partially differentiated by the voltage u₁ as shown by equation (11), The term of the right side is considered in three cases of positive value (>0), (=0) or negative value (<0) as shown by relations (11A), (11B) and (11C), p₂u₂ - p₁p₃u₁(10 -D IN·H + 10 -D IN·L ) > 0 p₂u₂ - p₁p₃u₁(10 -D IN·H + 10 -D IN·L ) = 0 p₂u₂ - p₁p₃u₁(10 -D IN·H + 10 -D IN·L ) < 0 Each relation (11A), (11B) or (11C) is solved with respect to "u₁" as shown by the relation (11D), (11E) or (11F), p₂u₂ p₁p₃(10 -DIN·H + 10 -DIN·L ) > u₁ p₂u₂ p₁p₃(10 -DIN·H + 10 -DIN·L ) = u₁ p₂u₂ p₁p₃(10 -DIN·H + 10 -DIN·L ) < u₁ The left sides of the relations (11D), (11E) and (11F) are represented by "Q" which is called a "boundary parameter", as follows: Q = p₂u₂ p₁p₃(10 -DIN·H + 10 -DIN·L ) Consequently, the voltage u₁ is represented by the boundary parameter Q as follows: Subsequently, the gradient y₂ is partially differentiated by the voltage u₂ as shown by equation (12), Finally, the gradient y₂ is partially differentiated by the voltage u₃ as shown by equation (13), ∂y₂ ∂u₃ = 0 The relation between the predictive sign data [ΔY and] = ([Δy₁], [Δy₂]) and input voltage sign data [ΔU j ] = ([Δu₁], [Δu₂], [Δu₃]) is represented by relations (14) and (15), [Δ y 1] = -[Δu₁] + [Δu₂] - [Δu₃] [Δy and₁]: predictive sign data of midpoint value y₁, [Δy and₂]: predictive sign data of gradient y₂. The relations (14) and (15) are shown in Table 1. The region number designates the region of the difference (u₁ - Q). Referring to Table 1, region numbers 1, 2 and 3 show regions which are divided to three parts in compliance with a difference between input vector U (= u₁, u₂, u₃) and a boundary parameter Q. A "boundary function sign" in the table 1 is decided as follows: for example, the boundary function sign [u₁-Q] is positive (+) in the region number 1, because of "u₁-Q>0". In a similar manner, in the region number 2, the boundary function sign [u₁-Q] is zero because of "u₁-Q=0". Moreover, the predictive sign data [ΔY and] is derived as follows: for example, in the region number (1), the predictive sign data [Δy and i ] is represented by a set of two minus signs (-, -) with respect to a sign vector [ΔU i ] (=(+, 0, -)). In the region number (2), the predictive sign data [Δy and i ] is represented by a set of two plus signs (+, +) with respect to a sign vector [ΔU i ] (=(-, +, -)). Consequently, [Δ Y i ] = (-[Δu₁] + [Δu₂] - [Δu₃], [Δu₂]) = (- "-" + "+" - "-", +). Moreover, a predictive sign data [Δy and i ] has no conformed value with respect to a sign vector [ΔU i ] = (+, +, -) as shown by relation (16), [Δ Y i ] = (- [Δu₁] + [Δu₂] - [Δu₃], [Δu₂]) = (- "+" + "+" - "-", +) = (?, +) The output of the qualitative model correction circuit 312 includes the boundary parameter Q which is determined by the parameters p₁, p₂ and p₃. Sine measurement of these parameters p₁, p₂ and p₃ is very difficult, the boundary parameter Q cannot be accurately estimated. Therefore the prediction based on Table 1 is not always correct. If the prediction is not correct, a sign data [ΔY] of the actual output detected by the output sign detection circuit 313 is noncoincident with the predictive sign data [ΔY and] output from the input variation vector selection circuit 309. In the above-mentioned case, the boundary parameter Q of a qualitative model in the qualitative model calculation circuit 303 is modified, because it seems that the qualitative model which is used in the qualitative model calculation circuit 303 is inadequate. An example of the operation of modification which are applied with an actual values is described hereafter. It is assumed that the voltages u₁, u₂, u₃ in an electrophotographic apparatus are 65V, 700V, 400V, respectively, and boundary parameter Q is 70V. According to Table 1, [u₁-Q] = [65-70] = [-5] = "-" Accordingly, the region number (3) is selected for use. Then, if the following input variation vector ΔU i is applied to the sign vector detector 302: ΔU i = (+Δu₁, 0, +Δu₃) = (+0.5V, 0, +0.5V) the predictive sign data [ΔY and] is calculated by the Table 1 as follows: [Δ Y ] = (- [Δu₁] + [Δu₂] - [Δu₃], [Δu₁] + [Δu₂]) = (- [+0.5] + [0] - [+0.5], [+0.5] + [0]) = (-, +) After operation of the electrophotographic apparatus to which the above-mentioned input variation vector ΔU i is inputted, if the output sign data [ΔY] is "(-, -)", it seems that selection of the region number is wrong. Accordingly, in the Table 1, a region number (1) is selected in a manner that the predictive sign data [ΔY and] becomes "(-, -)". Subsequently, a boundary parameter Q which matches with the boundary function of region number (1) is calculated as follows: [u₁ - Q′] = [65 - Q′] = "+" > 0 In order to fulfill relation (20), the value of "Q" is selected as follows: Q′ = 65 - ε where, "ε" is a positive real number. On the other hand, when the sign data [ΔY] is "(-, +)", the predictive sign data [ΔY and] is coincident with the sign data [ΔY]. Therefore, boundary parameter Q is not modified. Moreover, in the event that the input voltage u₁ is very low in comparison with a boundary parameter Q, namely, that in Table 1, sign [u₁-Q] is "-" (region number (3)), the boundary parameter is not modified. Therefore, the qualitative model correction circuit 312, output sign detection circuit 313 and switches 314 and 315 are unnecessary. An adaptive control electrophotographic apparatus which has no these circuits and switches shown in FIG.5 as a second embodiment. In FIG.1, a density sensor 112B may be located adjacent to a transfer belt 120, and the density of the toner image transferred on a copy paper 121 placed on the transfer belt 120 is detected thereby. In the example, an output vector Y(= y₁, y₂) is obtained on the basis of the toner images transferred on the transfer belt 120. Therefore, optimum control is realizable in an actual copy machine using a paper or the like to be transferred. In the event that high precision is not required in density control of the electrophotographic apparatus, a required density characteristic is realizable by changing the light source input voltage u₁ and change voltage u₂. Accordingly, the input variation vector determination circuit 310 is simplified. Table 2 is a qualitative model list of actual sign vectors [ΔU j ] which are output from the input variation vector determination circuit 310 with respect to the sign [e] of an error "e" detected by the error sign detection circuit 308. In the table 2, nine combinations of the input signs [e] and the output sign vectors [ΔU j ] in each region, which are particularly useful in actual application of the adaptive control to the copy machine, are selected from twenty-seven combinations in each region. The combinations listed on the table 2 are picked up on the basis of a predetermined software, and hence an efficient adaptive control is realizable. FIG.6 is a circuit block diagram of a third embodiment of the electrophotographic apparatus in accordance with the present invention. In the third embodiment, a transfer voltage u₄ is applied to a transfer belt charge unit 115 of the transfer belt 120 for transferring the toner image of the drum 101 onto a copy paper rested on the transfer belt 120, for example. A density sensor 112B is positioned adjacent to the transfer member 120 and detects the toner image of the reference mark transferred on the copy paper. In the third embodiment, input variation vectors ΔU₁ ... ΔU₈₁ of the light source voltage u₁, charge voltage u₂, developer bias voltage u₃ and transfer voltage u₄ are processed in an input variation vector determination circuit 310A, and these are output to a copy machine 105A through an input vector renewal circuit 311A. Remaining configuration and operation of the electrophotographic apparatus are similar to that of the first embodiment. According to the third embodiment, since the transfer voltage u₄ is controlled on the basis of the qualitative model, even if the condition of a copy paper on which the toner image is transferred is changed because of temperature, humidity or change in the quality of a copy paper, the copy of a document in a better quality is realizable.

Claims: An adaptive control electrophotographic apparatus comprising: charging means (102) for charging a photoconductive substance (101) of the electrophotographic apparatus with a predetermined charge voltage (U₂) of static electricity, exposing means (103) for forming latent image of static electricity of a high density reference mark (107) and a low density reference mark (108) on said photoconductive substance (101) by applying light emitted from light emitting means (103) activated by an input voltage (U₁) and reflected from said reference marks (107,108), developer means (105) for generating a visible image of said latent image on said photoconductive substance (101) by supplying toner which is biased by a predetermined developer bias voltage (U₃), density sensor means (112A) for detecting density of said visible image of said reference marks (107,108) formed on said photoconductive substance (101), error sign detection means (308) for detecting the sign of a difference between an aimed density value (Yd) and the detected value (Y) of said density sensor means (112A), characterized in that said apparatus further comprises input variation vector generating means (301) for generating a plurality of input variation vectors (ΔUi) for varying said charge voltage (U₂), said input voltage (U₁) and said developer bias voltage (U₃) applied to said electrophotographic apparatus to be controlled, qualitative model calculation means (303) for outputting predictive sign data (ΔY and) by calculating said input variation vector (ΔUi) on the basis of a predetermined qualitative model representing a qualitative relation between a variation of the density of said visible image and variations of at least one of said charge voltage (U₂), exposure input voltage (U₁) and developer bias voltage (U₃), an input variation vector selection circuit (309) for selecting an input variation vector (ΔUi) on the basis of the output (e) of said error sign detection means (308) and said predictive sign data (ΔY and), and input vector renewal means (311) for adding said selected input variation vector (ΔUi) to said charge voltage (U₂) of static electricity, said input voltage (U₁) and said developer bias voltage (U₃) of said electrophotographic apparatus to be controlled. An adaptive control electrophotographic apparatus in accordance with claim 1, characterized by output sign detecting means (313) for detecting a predetermined sign for representing variation of output vectors derived on the basis of densities of said reference marks (107,108) and measured densities of said visible images of said reference marks detected by said density sensor means (112A), and qualitative model correction means (312) for correcting said qualitative model on the basis of the output of said input variation vector selection circuit (309) and the output of said output sign detecting means (313). An adaptive control electrophotographic apparatus in accordance with claim 1 or 2, characterized by transfer means (120) for transferring said visible image to a transfer member (121), and density sensor means (112B) for detecting density of said visible image of said reference marks (107,108) formed on said transfer member (121). An adaptive control electrophotographic apparatus comprising: charging means (102) for charging a photoconductive substance (101) of the electrophotographic apparatus with a predetermined charge voltage (U₂) of static electricity, exposing means (103) for forming latent image of static electricity of a high density reference mark (107) and a low density reference mark (108) on said photoconductive substance (101) by applying light emitted from light emitting means (103) activated by an input voltage (U₁) to said reference marks (107,108), developer means (105) for generating visible image of said latent image on said photoconductive substance (101) by supplying toner which is biased by a predetermined developer bias voltage (U₃), transfer means (120) for transferring said visible image to a transfer member (121), being applied with a transfer voltage (U₄), density sensor means (112B) for detecting density of said visible image of said reference marks (107,108) formed on said transfer member (120), error sign detection means (308) for detecting the sign of a difference between an aimed density value (Yd) and the detected value (Y) of said density sensor means (112B), characterized by input variation vector generating means (301) for generating a plurality of input variation vectors (ΔUi) for varying said change voltage (U₂) of static electricity, said input voltage (U₁) and said developer bias voltage (U₃) applied to said electrophotographic apparatus to be controlled, qualitative model calculation means (303) for outputting predictive sign data (ΔY and) by calculating said input variation vector (ΔUi) on the basis of a predetermined qualitative model representing a qualitative relation between a variation of the density of said visible image and variations of at least one of said charge voltage (U₂), exposure input voltage (U₁) and developer bias voltage (U₃), an input variation vector selection circuit (309) for selecting an input variation vector on the basis of the output (e) of said error sign detection means and said predictive sign data (ΔY and), output sign detecting means (313) for detecting a predetermined sign for representing the variation of output vectors derived on the basis of densities of said reference marks (107,108) and measured densities of said visible images of said reference marks detected by said density sensor means (112A), input vector renewal means (311) for adding said selected input variation vector (ΔUi) to said voltage (U₂) of static electricity, said input voltage (U₁), said developer bias voltage (U₃) and transfer voltage of said electrophotographic apparatus to be controlled, and qualitative model correction means (312) for correcting said qualitative model on the basis of the output of said input variation selection circuit (309) and the output of said output sign detecting means (313). An adaptive control electrophotographic apparatus in accordance with one of claims 1 to 4 wherein said reference marks (107,108) are located outward from a manuscript (106) to be copied.

Inventors: ITO OSAMU, MATSUBAYASHI SHIGEAKI, ITO, OSAMU, MATSUBAYASHI, SHIGEAKI
Applicants: MATSUSHITA ELECTRIC IND CO LTD, MATSUSHITA ELECTRIC INDUSTRIAL CO., LTD.
Application year: 1991
Main classification: G03G15
IPC codes: G03G15, G05B13