JPH06206431A - Control device of air-conditioning device for automobile - Google Patents

Abstract

PURPOSE:To embody a comfortable air-conditioning control by carrying out a set temperature correction owing to the quantity of solar radiation delicately. CONSTITUTION:The second temperature correcting process circuit 19 is composed of a fuzzy inference circuit 20 to infer the correcting amount alpha of a set temperature correcting value TAPTC according to a preset fuzzy control rule depending on a set temperature correcting value TAPTC corrected by the outer air temperature, and a detecting solar radiation quantity QSUN of a solar radiation sensor 5, and a signal composition circuit 21 to compute the recognition temperature TRPTC of a controller 17 by adding the above correcting amount alpha and the set temperature correcting value TAPTC.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a control device for an air conditioner for an automobile, and more particularly to a variable solar radiation correction for a set temperature.

[0002]

2. Description of the Related Art In recent air conditioners for automobiles, automatic air conditioners have been widely used for the purpose of improving safety. With this auto air conditioner, the occupant simply indicates the desired set temperature, and the temperature of the blowing air, the operation / stop of the compressor, the setting of the outlet mode, and the selection of the inside / outside air are automatically set so that the passenger compartment is always kept comfortable. And the air volume is switched. Such control is configured so that input signals from various sensors provided at a predetermined position of an automobile, an air conditioner, or the like are input to the control means, and the control means is operated in accordance with a predetermined determination standard. ing.

Conventionally, the target outlet temperature in such an automatic air conditioner is generally calculated in the form of the arithmetic expression X _M = (A + D) T _APTC + BT _AMB + CQ _SUN- DT _INC + E (1). Here, X _M is a reference control parameter corresponding to the target outlet temperature, T _APTC is, for example, a set temperature corrected by the outside air temperature, T _AMB is the outside air temperature, Q _SUN is the amount of solar radiation, and T _INC is the vehicle interior temperature, Further, A, B, C, D and E are constants peculiar to the vehicle equipped with the air conditioner and are values determined in advance for each vehicle. Therefore, conventionally, as can be seen from the equation (1),
The correction based on the amount of solar radiation was only taken into consideration when calculating the target outlet temperature.

[0004]

However, in such a conventional solar radiation correction, the set temperature is not directly regulated only by being taken into consideration in the calculation of the target blowout temperature, and the solar radiation correction term is also used. Since the constant C of is constant, the margin of solar radiation correction is also constant, which may cause the stability point at room temperature to deviate from the passenger's feeling depending on the situation. That is, for example, in the case of a person who likes coolness as a sensitivity, the amount of correction by solar radiation is increased, and the amount of correction by solar radiation is increased in order to avoid the haze feeling of the upper body as much as possible during heating when the outside air temperature is low. However, the conventional method cannot deal with such a case because the margin of the solar radiation correction is constant. Moreover, since it is a correction for the blowout temperature, even if the blowout temperature becomes constant under a certain amount of solar radiation, it does not always result in a comfortable room temperature that matches the preference of the person and the outside air temperature.

The present invention has been made in view of the problems of the prior art as described above, and controls an automotive air conditioner capable of performing more detailed air conditioning control by variably correcting solar radiation for a set temperature. The purpose is to provide a device.

[0006]

SUMMARY OF THE INVENTION To achieve the above object, the present invention provides a temperature setting means for setting the temperature inside a vehicle, a solar radiation amount detecting means for detecting the amount of solar radiation, and the temperature setting means. A correction amount inference means for inferring a correction amount of the set temperature according to a fuzzy control rule preset based on the set temperature and the solar radiation amount detected by the solar radiation amount detection means, and inference by the correction amount inference means And a correction unit that corrects the set temperature based on the corrected amount.

Further, according to the present invention, there are provided a temperature setting means for setting a temperature inside the vehicle, an outside air temperature detecting means for detecting an air temperature outside the vehicle, a solar radiation amount detecting means for detecting a solar radiation amount, and the outdoor air temperature detecting means. A correction amount inference means for inferring a correction amount of the set temperature set by the temperature setting means according to a fuzzy control rule preset based on the detected outside air temperature and the solar radiation amount detected by the solar radiation amount detection means, and And a correction unit that corrects the set temperature based on the correction amount inferred by the correction amount inference unit.

[0008]

In the present invention thus constructed, the correction amount inferring means is preset based on the set temperature set by the temperature setting means and the solar radiation amount detected by the solar radiation amount detecting means. The correction amount of the set temperature is inferred according to the fuzzy control rule. The correction means corrects the set temperature based on the correction amount inferred by the correction amount inference means. By the correction processing based on such fuzzy inference, the solar radiation correction of the set temperature can be varied nonlinearly to suit the person's preference.

Further, the correction amount inference means is a temperature setting means in accordance with a preset fuzzy control rule based on the outside air temperature detected by the outside air temperature detecting means and the insolation amount detected by the insolation amount detecting means. Infer the correction amount of the set temperature that has been set. The correction means corrects the set temperature based on the correction amount inferred by the correction amount inference means. By the correction processing based on such fuzzy inference, the solar radiation correction of the set temperature can be changed nonlinearly in relation to the outside air temperature.

[0010]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS An embodiment of the present invention will be described below with reference to the drawings. FIG. 1 is a block diagram showing a control device for an air conditioner for an automobile according to an embodiment of the present invention, FIG. 2 is a diagram showing a membership function relating to an antecedent variable in the fuzzy control law of the embodiment, FIG. Is a diagram showing a membership function related to the antecedent variable in the fuzzy control law of the same embodiment,
FIG. 4 is a diagram showing a membership function related to a consequent variable in the fuzzy control law of the embodiment, FIG. 5 is a diagram showing a fuzzy rule of the fuzzy control law of the embodiment, and FIG. FIG. 7 is a three-dimensional representation of the calculation result according to the fuzzy control law, and FIG. 7 is a flowchart showing the procedure of the set temperature correction process according to the embodiment.

As shown in FIG. 1, the control device for an air conditioner for a vehicle includes an auto amplifier 1 incorporating a microcomputer.
The auto amplifier 1 has a temperature setter 2 for setting the temperature inside the vehicle, an inside air sensor 3 for detecting the temperature inside the vehicle, and an outside air sensor 4 for detecting the temperature outside the vehicle on the input side. A solar radiation sensor 5 that detects the amount of solar radiation and a suction temperature sensor 6 that detects the temperature of the intake air after passing through an evaporator (not shown) are connected to each other. On the output side of the auto amplifier 1, a fan control circuit 8 for controlling the voltage applied to the fan motor 7 and an intake door 9 for adjusting the ratio of the inside air and the outside air drawn by a fan (not shown) are rotated. An intake door actuator 10 such as an electric actuator, an air mix door actuator 12 such as an electric actuator that rotates an air mix door 11 that adjusts a mixing ratio of cold air and warm air, and a mode door 13 that selects an outlet (for example, a vent door). , A mode door actuator 14 such as an electric actuator for rotating a door, a differential door, and a foot door, and a magnet clutch 16 for transmitting engine power to a compressor 15 for sucking and compressing a gas refrigerant from an evaporator. Of the air conditioning controls in the automatic air conditioner, the fan control circuit 8 is for air volume control, and the intake door actuator 1 is for intake port control.
0, the temperature of the blown air is controlled by controlling the air mix door actuator 12, the control of the air outlet is performed by the mode door actuator 14, and the control of the compressor is performed by controlling the magnet clutch 16.

The auto-amplifier 1 has a control section 17, and the control section 17 arithmetically processes the input signals of the switches 2 and the sensors 3 to 6 described above, and the fan control circuit 8 described above. The intake door actuator 10, the air mix door actuator 12, the mode door actuator 14, and the magnet clutch 16 are comprehensively controlled.

In this embodiment, in the auto amplifier 1,
First temperature correction processing circuit 1 for correcting the set temperature T _PTC set by the temperature setter 2 by the detected temperature T _AMB of the outside air sensor 4.
8 are provided. The first temperature correction processing circuit 18 corrects the set temperature T _PTC to an appropriate set temperature according to the outside air temperature T _AMB . Further, in the auto amplifier 1, the set temperature correction value T from the first temperature correction processing circuit 18 is set.
_A second temperature correction processing circuit 19 is provided that adds a correction to the _{APTC according} to the amount of solar radiation. The second temperature correction processing circuit 19 is set according to a preset fuzzy control rule based on the set temperature correction value T _APTC from the first temperature correction processing circuit 18 and the solar radiation amount Q _SUN detected by the solar radiation sensor 5. The fuzzy inference circuit 20 that infers the correction amount α of the temperature correction value T _APTC, the correction amount α inferred by the fuzzy inference circuit 20, and the set temperature correction value T _APTC are combined to recognize the set temperature T of the control unit 17. _The signal synthesis circuit 21 calculates the _RPTC . Here, the signal synthesizing circuit 21 sets a value obtained by adding the correction amount α to the set temperature correction value T _APTC as the set temperature recognition value T _RPTC (that is, T _RPTC = T _APTC +
α). The temperature setting means is constituted by the temperature setter 2 and the first temperature correction processing circuit 18, the solar radiation amount detecting means is constituted by the solar radiation sensor 5, the correction amount inferring means is constituted by the fuzzy inference circuit 20, and the correcting means is constituted by the signal synthesizing circuit 21. There is.

The fuzzy inference circuit 20 is composed of a ROM for storing a membership function for fuzzy inference and a fuzzy inference unit for storing logic (fuzzy rules) for fuzzy inference (both not shown). . In this fuzzy inference part, two input data, namely,
Based on the set temperature correction value T _APTC output from the first temperature correction processing circuit 18 and the solar radiation amount Q _SUN detected by the solar radiation sensor 5, the correction amount α of the set temperature correction value T _APTC is determined by fuzzy inference. The data is output to the signal synthesizing circuit 21, and such fuzzy inference is based on the fuzzy rules.
It is executed according to the degree obtained from each membership function stored in advance in the ROM.

In this embodiment, the membership functions shown in FIGS. 2 to 4 are stored in the ROM. That is, FIG. 2 is a membership function relating to the antecedent variable of the fuzzy rule, which will be described later. The set temperature correction value T _APTC from the first temperature correction processing circuit 18 is the horizontal axis, and the degree corresponding to this is the vertical axis. Is shown in. At this time, if the degree is expressed by a fuzzy label, that is, a concept including ambiguity, when the set temperature correction value T _APTC is 23 ° C. or less, “low (C)”, 1
9-31 degreeC becomes "normal (NT)", and 27 degreeC or more becomes "high (H)." Further, FIG. 3 also shows a membership function related to the antecedent variable of the fuzzy rule, in which the amount of detected solar radiation Q _SUN of the solar radiation sensor 5 is shown on the horizontal axis, and the degree corresponding to this is shown on the vertical axis. At this time, the amount of solar radiation Q _SUN is 660
Kcal / m ² H (hereinafter abbreviated as Kcal) is less (L), 300 to 800 Kcal is a little more (L)
“M)”, and “more (M)” is 660 Kcal or more.
Further, FIG. 4 shows an output condition relating to the consequent variable of the fuzzy rule, in which the horizontal axis represents the correction amount α as an output, and the vertical axis represents the degree corresponding thereto. Here, the correction amount α is -4
In the case of up to −2 ° C., “large correction (M)”, −3 to 0 ° C. is “slightly corrected (LM)”, and −1 to + 1 ° C. is “slightly corrected (L)”. Further, in this embodiment, the fuzzy rule is stored in the fuzzy inference unit as shown in FIG. In the present embodiment, as the set temperature (strictly speaking, the set temperature correction value T _APTC ) becomes lower, the correction amount α is increased with the increase of the solar radiation amount Q _SUN , and the solar radiation correction is increased. Because people who tend to set the temperature low generally tend to prefer cool air conditioning, so increase the solar radiation correction,
On the contrary, it is considered that it is desirable for a person who prefers warm air conditioning, which tends to set a high temperature, not to make much solar radiation correction. The above-mentioned membership functions and fuzzy rules are set as knowledge data, so to speak, so as to correspond to the difference in human sensitivity to the comfortable temperature based on experiments in advance.

The fuzzy inference circuit 20 performs fuzzy inference based on the membership functions shown in FIGS. 2 to 4 and the fuzzy rules shown in FIG. 5, and outputs the output value (in the present embodiment, the correction amount α of the set temperature correction value _TAPTC ). ). As a method for deriving an output by fuzzy inference, there are generally an area method, a height method, a center of gravity method, etc., but an appropriate method may be selected in consideration of convergence, tuning property, programmability and the like. Here, FIG. 6 shows a three-dimensional representation of the calculation result using, for example, the centroid method. From the figure, it can be easily understood that the lower the set temperature (set temperature correction value T _APTC ) is, the larger the correction amount is due to the increase in the solar radiation amount, and thus the larger solar radiation correction is performed.

Next, the operation of the second temperature correction processing circuit 19 thus constructed will be described with reference to the flowchart of FIG. First, the second temperature correction processing circuit 19
The temperature correction processing circuit 18 and the solar radiation sensor 5 respectively input respective data of the set temperature correction value T _APTC and the solar radiation amount Q _SUN (S1, S2), and the fuzzy inference circuit 20 inputs these set temperature correction values T _APTC . Figure 2 based on the amount of solar radiation Q _SUN
Fuzzy inference is performed by the membership function shown in FIG. 4 and the fuzzy rule shown in FIG. 5 to infer the correction amount α as an output value (S3). Then, in the signal synthesizing circuit 21, the inferred correction amount α and the set temperature correction value T _APTC are added to calculate the set temperature recognition value T _RPTC , which is output to the control unit 17 (S4). Then, the above operation is repeatedly executed until the operation of the air conditioner is completed (S5).

FIG. 8 is a block diagram showing a control device of an air conditioner for a vehicle according to another embodiment of the present invention.
11 is a diagram showing the membership function of the same embodiment, and FIG. 12 is a diagram showing the fuzzy rules of the same embodiment. The second embodiment is different from the above-mentioned first embodiment in the input condition in the fuzzy inference, and therefore only the part of the fuzzy inference circuit related to this point is different, and the other parts are common, Then, common portions are given the same reference numerals, and only the differences will be briefly described.

In the controller shown in FIG. 8, a second temperature correction processing circuit 19 for correcting the set temperature by solar radiation is also provided in the auto amplifier 1, and the second temperature correction processing circuit 19 is a fuzzy circuit. Inference circuit 22 and signal synthesis circuit 21
It consists of and. In the present embodiment, the fuzzy inference circuit 22 uses the first temperature correction processing circuit 18 according to a preset fuzzy control rule based on the detected solar radiation amount Q _{SUN of the} solar radiation sensor 5 and the detected temperature T _AMB of the outside air sensor 4.
_Inferring the correction amount β of the set temperature correction value T _APTC from the signal synthesis circuit 21, the signal synthesis circuit 21 determines the correction amount β from the set temperature correction value T _APTC.
Adding to have a recognition value T _RPTC set temperature _{(i.e., T RPTC = T APTC + β} ). In this case, the temperature setting means is the temperature setter 2 and the first temperature correction processing circuit 18, the outside air temperature detecting means is the outside air sensor 4, the solar radiation amount detecting means is the solar radiation sensor 5, and the correction amount inferring means is the fuzzy inference circuit 22. The correction means is composed of a signal synthesis circuit 21.

The fuzzy inference circuit 22 includes the fuzzy reasoning circuit shown in FIGS.
The membership function shown in and the fuzzy rule shown in FIG. 12 are stored. The membership function shown in Fig. 9 is obtained by taking the amount of solar radiation Q _SUN as an input condition on the horizontal axis.
300 ~ 660Kcal is "a little more (LM)", 450Kc
Al or more is “a lot (M)”. Further, the membership function of FIG. 10 is the outside air temperature T _AMB as an input condition.
Is taken on the horizontal axis. If it is below 5 ℃, it is "Cold (C)", 0 to + 30 ℃ is "Normal (NT)", +25
The temperature above ℃ is said to be “hot (H)”. Further, the membership function of FIG. 11 is such that the horizontal axis represents the correction amount β as an output condition. 1 degree is a little correction (L
M) ”, and −1.5 to 0 ° C. is“ slightly corrected (L) ”. Further, in this embodiment, as shown in the fuzzy rule of FIG. 12, the solar radiation correction is increased as the outside air temperature T _AMB is lower. This is because heating is done when the outside air temperature is low, but the lower the outside air temperature during such heating tends to warm the upper half of the body due to the air blown out from the vents, so the solar radiation correction should be increased to reduce the set temperature recognition value. This is because it is considered desirable to increase the size. Also in this case, the membership function and the fuzzy rule as knowledge data are set in advance based on experiments so that comfortable solar radiation correction can be performed according to the outside air temperature. The fuzzy inference circuit 22 has a configuration shown in FIGS.
The fuzzy inference is performed by the membership function shown in FIG. 9 and the fuzzy rule shown in FIG. 12 to obtain the correction amount β as the output value.

Therefore, in the first embodiment, three membership functions (set temperature correction value T _APTC as an input condition)
And the amount of solar radiation Q _SUN , the correction amount α) and the fuzzy rule are set as output conditions, and the set temperature correction value T _APTC and the amount of solar radiation Q _{SUN are set.}
From this, fuzzy inference is used to obtain the solar radiation correction amount α for realizing a comfortable temperature that matches the human sensitivity to temperature (Fig. 6).
The calculated temperature correction value T _APTC is corrected by this correction amount α to calculate the recognition value T _RPTC of the set temperature. Therefore, the solar radiation of the set temperature can be _adjusted more finely according to the preference of the person's temperature. You will be able to make corrections.

Further, in the second embodiment, three membership functions (as input conditions, the solar radiation amount Q _SUN and the outside air temperature T
_AMB , a correction amount β) as an output condition and a fuzzy rule are set, and a solar radiation correction amount β for realizing a comfortable temperature matching the outside air temperature is obtained by fuzzy inference from the solar radiation amount Q _SUN and the outside air temperature T _AMB. Since the set temperature correction value T _APTC is corrected by the correction amount β to calculate the recognized set temperature T _RPTC , it is possible to perform the solar radiation correction of the set temperature more finely according to the outside air temperature.

Therefore, in either case, the solar radiation correction of the set temperature can be performed more finely according to the situation, so that the comfort is further improved.

Further, as the above-mentioned application example, it is possible to combine the first embodiment and the second embodiment. That is, the average value γ (= (α of the correction amount α inferred in the first embodiment and the correction amount β inferred in the second embodiment.
+ Β) / 2) may be used to perform solar radiation correction at the set temperature. In this case, although not shown, the auto amplifier 1 has both the fuzzy inference circuit 20 of the first embodiment and the fuzzy inference circuit 22 of the second embodiment, and both circuits 2
It has an arithmetic circuit for calculating the average of the output values α and β of 0 and 22. By using the average value γ of the correction amount α and the correction amount β in this way, it becomes possible to perform the solar radiation correction of the set temperature more finely than in the case of using only the correction amount α.

In this embodiment, the case where the correction by the amount of solar radiation is further applied to the set temperature correction value T _APTC corrected by the outside air temperature has been described, but the present invention is not limited to this, and the temperature setting device 2 sets it. It is needless to say that the present invention can be applied to the case where solar radiation correction is applied to the set temperature T _PTC .

Further, the shapes of the membership function shown in FIGS. 2 to 4 and the contents of the fuzzy rule shown in FIG. 5, and the shapes of the membership function shown in FIGS. 9 to 11 and the contents of the fuzzy rule shown in FIG. Is not limited to this embodiment, and may be arbitrarily set by experiment.

[0027]

As described above, according to the present invention, the set temperature is non-linearly corrected by the amount of solar radiation by fuzzy inference, so that more detailed air conditioning control can be performed according to the situation and comfort can be improved. Further improvement can be achieved.

[Brief description of drawings]

FIG. 1 is a block diagram showing a configuration of a control device of an air conditioner for a vehicle according to an embodiment of the present invention.

FIG. 2 is a diagram showing a membership function related to an antecedent variable in the fuzzy control law of the embodiment.

FIG. 3 is a diagram showing a membership function related to an antecedent variable in the fuzzy control law of the same embodiment.

FIG. 4 is a diagram showing a membership function relating to a consequent part variable in the fuzzy control law of the embodiment.

FIG. 5 is a diagram showing a fuzzy rule of the fuzzy control rules of the embodiment.

FIG. 6 is a diagram showing three-dimensionally the calculation result by the fuzzy control law of the embodiment.

FIG. 7 is a flowchart showing a procedure of a set temperature correction process according to the embodiment.

FIG. 8 is a block diagram showing a configuration of a control device for an air conditioner for a vehicle according to another embodiment of the present invention.

FIG. 9 is a diagram showing a membership function relating to an antecedent variable in the fuzzy control law of the embodiment.

FIG. 10 is a diagram showing a membership function relating to an antecedent variable in the fuzzy control law of the embodiment.

FIG. 11 is a diagram showing a membership function relating to a consequent part variable in the fuzzy control law of the embodiment.

FIG. 12 is a diagram showing a fuzzy rule of the fuzzy control rules of the embodiment.

[Explanation of symbols]

 2 ... Temperature setter (temperature setting means) 4 ... Outside air sensor (outside air temperature detecting means) 5 ... Solar radiation sensor (solar radiation amount detecting means) 18 ... First temperature correction processing circuit (temperature setting means) 20, 22 ... Fuzzy inference circuit (Correction amount inference means) 21 ... Signal combining circuit (correction means)

Claims (2)

[Claims] 1. A temperature setting means (2,1) for setting a temperature in a vehicle compartment.
8), the solar radiation amount detecting means (5) for detecting the solar radiation amount, the set temperature set by the temperature setting means (2, 18) and the solar radiation amount detected by the solar radiation amount detecting means (5). Based on a preset fuzzy control rule, the correction amount inferring means (20) for inferring the correction amount of the set temperature, and the set temperature based on the correction amount inferred by the correction amount inferring means (20). A control device for an air conditioner for a vehicle, comprising: a correction means (21) for performing correction. 2. A temperature setting means (2,1) for setting the temperature in the passenger compartment.
8), the outside air temperature detecting means (4) for detecting the temperature outside the vehicle, the insolation amount detecting means (5) for detecting the insolation amount, the outside air temperature detected by the outside air temperature detecting means (4) and the insolation Based on the amount of solar radiation detected by the amount detection means (5),
A correction amount inferring means (23) for inferring a correction amount of the set temperature set by the temperature setting means (2, 18) according to a preset fuzzy control rule, and an inference by the correction amount inferring means (23) A controller for an automobile air conditioner, comprising: a correction unit (24) for correcting the set temperature based on a correction amount.