JP3141469B2 - Fuzzy control method - Google Patents

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a fuzzy control method, for example, to a blower control method for blowing air into a vehicle cabin.

[0002]

2. Description of the Related Art Conventionally, when a control amount is obtained by fuzzy inference based on certain control inputs, some fuzzy rules that match the control inputs are selected.
For each selected fuzzy rule, a specific membership function and its certainty (CF value) are determined for each control input.

[0003]

At this time, a triangular or trapezoidal shape is generally adopted as the form of the membership function. Then, the characteristics of the control amount obtained from the form of the adopted membership function are limited. That is, since the form of the membership function is specified, there is a characteristic of the control amount that cannot be obtained no matter how the fuzzy rule is changed. In this case, if the form of the membership function is changed, desired characteristics may be obtained, but this is extremely complicated.

More specifically, for example, no matter how the fuzzy rule is changed, the characteristic shown by the solid line in FIG. 9 may not be changed to the characteristic shown by the one-dot chain line in FIG.

In view of the above problems, it is an object of the present invention to provide a fuzzy control method capable of obtaining a desired control characteristic without changing the form of a membership function.

[0006]

To achieve the above object of the Invention The invention of Claim 1 wherein, based on a given control input, determined by fuzzy inference control value of the predetermined device, and the device In a fuzzy control method used for a control system in which a predetermined limit value exists in an operable range, a part of the control amount exceeding the limit value is set in a fuzzy rule and obtained by the fuzzy inference. The gist of the present invention is a fuzzy control method in which the obtained control amount is saturated at the limit value, and finally this is output to the device as a control amount. Further, the invention according to claim 2 is a method according to claim 1.
In the fuzzy control method, the control system includes a blower motor
Apply a predetermined blower voltage to
The temperature of the produced air is controlled by a heat exchanger
Used in vehicle air conditioners that blow into the room,
The control input is based on the internal temperature of the vehicle interior and the set temperature of the vehicle interior.
At least two of temperature deviation, outside temperature, and solar radiation
The apparatus comprises the blower motor,
The control amount is determined by a fuzzy control method including the blower voltage.
This is the gist.

[0007]

According to the present invention, by partially setting a value indicating a control amount exceeding the limit value in the fuzzy rule, the control amount obtained by fuzzy inference also exceeds the limit value. However, the change of the control amount with respect to a specific control input, that is, the characteristic of the control amount can be set to any shape. Further, for a portion exceeding the limit value of the control amount, an appropriate final control amount can be obtained by saturating the control amount at the limit value without outputting this as a final control amount.

[0008]

An embodiment of the present invention will be described below with reference to the drawings. First, FIG. 2 is a schematic configuration diagram showing a vehicle air conditioner of one embodiment to which the present invention is applied and a control system thereof.

As shown in the drawing, an air conditioner 1 for a vehicle according to one embodiment.
Has a so-called air-conditioning unit provided in an air duct 5 disposed in the front part of the vehicle compartment 3. The inside / outside air switching damper 7, the blower 9, the evaporator 11, which are disposed in order from the upstream side of the air duct 5. An air mix damper 13, a heater core 15, and an air outlet switching damper 17 are provided.

Here, the inside / outside air switching damper 7 is switched to a first switching position (a position shown by a solid line in the figure) under the drive of the servomotor 19, and the outside air is introduced into the air duct 5 from the outside air inlet 5a. On the other hand, it is switched to the second switching position (the position shown by the broken line in the figure), and the air (inside air) in the vehicle interior 3 flows into the air duct 5 from the inside air inlet 5b.

The blower 9 blows the outside air from the outside air inlet 5a or the inside air from the inside air inlet 5b to the evaporator 11 as an air flow according to the rotation speed of the blower motor 23 driven by the drive circuit 21. The operating range is driven, for example, between 5V and 12V (saturated output). The evaporator 11 cools the airflow from the blower 9 by the refrigerant circulating by the operation of a refrigeration cycle of an air conditioner (not shown).

Next, the air mix damper 13 is driven by a servo motor 25, and in accordance with its opening degree, allows the cooling air flow from the evaporator 11 to flow into the heater core 15 and the remaining cooling air flow to the outlet switching damper 17. Flow toward.

On the other hand, the air outlet switching damper 17 is switched to a first switching position (a position shown by a dashed line in the drawing) in a ventilation mode of the apparatus under the drive of the servomotor 27, and the air duct 5 is blown. Air is blown out from the outlet 5c toward the center of the vehicle interior 3 and is switched to the second switching position (the position shown by the broken line in the figure) when the apparatus is in the heat mode.
The air is blown out toward the inner lower part, and the third switching position (the position shown by the solid line in the figure) when the device is in the bi-level mode.
And the air is blown out from the two outlets 5c and 5d toward the center and downward in the passenger compartment 3.

Next, a servo motor 19, a drive circuit 21, and servo motors 25 and 27 for driving the inside / outside air switching damper 7, the blower 9, the air mix damper 13, and the air outlet switching damper 17, respectively, are an electronic control unit (ECU). The above components are driven in response to a control signal from 30.

The ECU 30 includes an inside air temperature sensor 34 for detecting a temperature (inside air temperature) Tr in the vehicle compartment 3, an outside air temperature sensor 36 for detecting the outside air temperature Tam, a water temperature sensor 38 for detecting an engine cooling water temperature Tw, and a vehicle interior. Insolation T invading 3
and the outlet temperature sensor 4 for detecting the temperature (outlet temperature) Te of the cool air from the evaporator 11.
2, an air mix damper opening sensor (hereinafter, referred to as an A / M opening sensor) 44 built in the servo motor 25 to detect the actual opening θ of the air mix damper 13, and a target temperature in the vehicle interior as a control target (Set temperature) An output signal from a temperature setter 46 for externally setting Tset is read via an A / D converter 48, and air conditioning control is executed based on these various signals. A central processing unit (hereinafter referred to as a CPU) 30a which receives the signal from the / D converter 48 and calculates the operation amount of each unit, and stores a plurality of fuzzy rules and membership functions used in fuzzy inference which will be described later. ROM 30b and C
An output unit 30c that outputs a control signal corresponding to the operation amount calculated by the PU 30a to each of the above units, and a crystal oscillator 30d that oscillates a reference clock of several MHz and causes the CPU 30a to execute software digital arithmetic processing. ing. The ECU 30 is provided with an ignition switch IG
When the power is supplied from the battery B at the time of ON, the operation is enabled, and when the operation switch 50 is operated,
Start air conditioning control. Hereinafter, the air conditioning control executed by the ECU 30 will be described with reference to the flowchart shown in FIG.

As shown in the figure, when the air conditioning control is started, first, in step 100, an initialization process for initializing a counter and a flag used for executing the subsequent processes is executed, and then the process proceeds to step 110. The set temperature Tset input via the temperature setter 46 is read. In the following step 120, the inside air temperature sensor 34 and the outside air temperature sensor 3
6. The vehicle environment state such as the inside air temperature (room temperature) Tr, the outside air temperature Tam and the amount of solar radiation Ts detected by various sensors such as the solar radiation sensor 40 is read.

Next, in step 130, step 110
A temperature deviation Tdi as a control input is obtained based on the set temperature Tset read at step S1 and the inside air temperature Tr read at step 120 using the following equation 1 stored in advance in the ROM 30b. Step 12
Fuzzy inference based on the outside air temperature Tam as the control input and the solar radiation amount Ts as the control input read at 0, and cut-off with a value that can be actually output (for example, 5 V, 12 V),
By performing the truncation, the drive circuit 21 executes a process of setting a blower voltage Vb as a control amount for controlling the air flow applied to the blower motor 23.

[0018]

Tdi = α · Tr−β · Tset + γ where α and β are correction coefficients satisfying the relationship α ≦ β, and γ is Tr = Tset = reference temperature (for example, 25 ° C.) Is a correction value for setting the temperature deviation Tdi to 0 at the time of (1). Next, at step 140, the set temperature Tset read at step 110, the inside air temperature Tr, the outside air temperature Tam, and the solar radiation read at step 120. Based on the amount Ts, the following equation 2 stored in advance in the ROM 30b:
Is used to calculate the required blowing temperature TAO.

[0019]

## EQU2 ## TAO = Kset.Tset-Kr.Tr-Kam.Tam-Ks.Ts + CKset, Kr, Kam, and Ks are positive coefficients, and C is a constant.

In the following step 150, step 1
Based on the required blowing temperature TAO obtained in 40 and the cooling water temperature Tw and the outlet temperature Te read in step 120,
The target opening degree θo of the air mix damper 13 is calculated using the following mathematical expression 3 stored in the ROM 30b in advance.

[0021]

## EQU3 ## θo = {(TAO-Te) / (Tw-Te)} × 100 [%] Next, at step 160, based on the required blow-out temperature TAO, the inside / outside air switching damper 7 is set to inside air introduction or Decide whether to use outside air. Also, the outlet switching damper 17
To determine which of the operation mode, the B / L mode, and the heater mode.

In step 170, the blower voltage control signal, the air mix damper opening control and the blower voltage control signal are sent to the drive circuit 21, the servo motor 25, the servo motor 27 and the servo motor 19 in accordance with the calculation results in steps 130 to 160. A signal, an air outlet switching control signal, and an inside / outside air introduction mode control signal are output, respectively.

Next, at step 180, it is determined whether or not a predetermined control cycle τ has elapsed, so that the control cycle τ has elapsed, and after the control cycle τ has elapsed, the process returns to step 110 again.

As described above, in the present embodiment, the blower voltage Vb is determined by fuzzy inference based on the temperature deviation Tdi, the outside air temperature Tam, and the amount of solar radiation Ts, regardless of the required blowing temperature TAO obtained by using the above-described equation (2). By setting, air volume control is performed. Then, the next step 13
The procedure of fuzzy inference for air flow control executed at 0 and the membership functions and fuzzy rules stored in advance in the ROM 30b used for executing the fuzzy inference will be described in detail.

FIGS. 4A to 4D show membership functions used in this fuzzy inference. Note that the horizontal axis of each membership function shown in FIG. 4 corresponds to each input / output value, and the vertical axis corresponds to “degree of certainty” (hereinafter referred to as CF value) according to this input / output value. are doing.

FIG. 4A is a characteristic diagram showing a membership function relating to the outside air temperature Tam. The fuzzy set of the outside air temperature Tam is a set temperature Tam1 (for example, -2
0 ° C), Tam2 (for example, -5 ° C), Tam3 (for example, 10
° C), Tam4 (eg, 15 ° C), Tam5 (eg, 25
° C) and Tam6 (eg, 40 ° C),
W), winter (WI), spring-autumn (AU), spring-summer (AS), summer (SU), and midsummer (SS) are classified into six-stage fuzzy sets, and membership for the outside air temperature Tam is determined by each membership function. Form a function. Then, the fuzzy variables belonging to each fuzzy set are represented by the membership function of each fuzzy set as shown in FIG.
It is set by the range of the fuzzy set as shown in (a) and the CF value in that range.

FIG. 4B is a characteristic diagram showing a membership function relating to the amount of solar radiation Ts. This solar radiation Ts
The fuzzy set of is the set insolation Ts1, Ts2, Ts3
(Ts1 <Ts2 <Ts3), the weak (W
K), intermediate (MD), and strong (SG) are distinguished by three stages of fuzzy signals, and each membership function forms a membership function related to the amount of solar radiation Ts. The fuzzy variables belonging to each fuzzy set are set by the membership function of each fuzzy set by the range of the fuzzy set as shown in FIG. 4B and the CF value in the range.

FIG. 4C is a characteristic diagram showing a membership function relating to the temperature deviation Tdi. The fuzzy set of the temperature deviation Tdi is represented by set temperature deviations E1, E2,
Corresponding to E3, E4, E5 (E1 <E2 <E3 <E4 <E5), negative and large (NB; Negative Big), negative and small (NS; Negative Small), almost zero (ZO; Ze)
ro), positive and small (PS; Positive Small), and positive and large (PB; PositiveBig) are classified into five stages of fuzzy sets, and a membership function for the temperature deviation Tdi is formed by each membership function. Then, the fuzzy variables belonging to each fuzzy set are set by the membership function of each fuzzy set by the range of the fuzzy set as shown in FIG. 4C and the CF value in the range.

FIG. 4D is a characteristic diagram showing a membership function relating to the blower voltage Vb. The fuzzy set of the blower voltage Vb is represented by the blower voltages 3V, 4V, 5
V, 6V, 7V, 8V, 9V, 10V, 11V, 12
About 3V (B3) and about 4V (B
4), about 5 V (B5), about 6 V (B6), about 7 V (B
7), about 8V (B8), about 9V (B9), about 10V (B
10), about 11V (B11), about 12V (B12), and about 13V (B13) are divided into 11 stages of fuzzy sets, and the blower voltage Vb is determined by each membership function.
Form a membership function. And
The fuzzy variables belonging to each fuzzy set are determined by the membership function of each fuzzy set as shown in FIG.
Are set by the range of the fuzzy set and the CF value in the range.

Next, the fuzzy rule is based on the membership functions relating to the outside air temperature Tam, the amount of solar radiation Ts, the temperature deviation Tdi, and the blower voltage Vb set as described above.
The values are set as shown in [Table 1] to [Table 6].

[0031]

[Table 1]

[0032]

[Table 2]

[0033]

[Table 3]

[0034]

[Table 4]

[0035]

[Table 5]

[0036]

[Table 6] Here, [Table 1] to [Table 6] are fuzzy rule tables regarding the blower voltage Vb using the outside air temperature Tam, the temperature deviation Tdi, and the amount of solar radiation Ts as conditional expressions, and each of the seasons SW, WI,
AU, AS, SU, and SS are divided.

Further, (a1) to (a9) shown in [Table 1] to [Table 6]
0) represents the number of the fuzzy rule. For example, if each rule (a1) to (a15) in [Table 1] is a general description, it is as follows. The rules (a16) to (a90) in [Table 2] to [Table 6] can be described in the same manner as described below.

(A1) IF (Tam = SW & Tdi = NB & T
s = WK) THEN (Vb = B12) (a2) IF (Tam = SW & Tdi = NS & Ts = WK) T
HEN (Vb = B12) (a3) IF (Tam = SW & Tdi = ZO & Ts = WK) T
HEN (Vb = B12) (a4) IF (Tam = SW & Tdi = PS & Ts = WK) T
HEN (Vb = B10) (a5) IF (Tam = SW & Tdi = PB & Ts = WK) T
HEN (Vb = B7) (a6) IF (Tam = SW & Tdi = NB & Ts = MD) T
HEN (Vb = B12) (a7) IF (Tam = SW & Tdi = NS & Ts = MD) T
HEN (Vb = B12) (a8) IF (Tam = SW & Tdi = ZO & Ts = MD) T
HEN (Vb = B10) (a9) IF (Tam = SW & Tdi = PS & Ts = MD) T
HEN (Vb = B7) (a10) IF (Tam = SW & Tdi = PB & Ts = MD) T
HEN (Vb = B5) (a11) IF (Tam = SW & Tdi = NB & Ts = SG) T
HEN (Vb = B12) (a12) IF (Tam = SW & Tdi = NS & Ts = SG) T
HEN (Vb = B10) (a13) IF (Tam = SW & Tdi = ZO & Ts = SG) T
HEN (Vb = B7) (a14) IF (Tam = SW & Tdi = PS & Ts = SG) T
HEN (Vb = B5) (a15) IF (Tam = SW & Tdi = PB & Ts = SG) T
HEN (Vb = B3) Here, the fuzzy rule in [Table 1] is a rule for a case where the outside air temperature is extremely low in a cold region or the like. The blower voltage is increased. Even when there is no temperature deviation, the blower voltage is increased so that the outside air does not lower the inside air temperature unless there is solar radiation. Further, when there is solar radiation, the inside air temperature can be raised to some extent by the solar radiation, so that the blower voltage is set lower than in the case where there is no solar radiation. On the other hand, when the temperature deviation is positive and large, the blower voltage is set to medium,
The blower voltage is reduced when the insolation increases.

That is, in a cold region where the outside air temperature is extremely low,
In order to prevent the inside air temperature from dropping due to the surrounding environment, the inside air temperature is raised by controlling the blowing temperature.
Accordingly, by increasing the blower voltage as the negative temperature deviation increases, the vehicle occupant is prevented from feeling cold. However, if the blower voltage is set only by the temperature deviation, the vehicle occupant will feel hot as the amount of solar radiation increases, so the blower voltage is reduced if the amount of solar radiation increases. In addition, an output such as B3, which is a value that cannot be actually output, is set as a fuzzy rule.

[Table 2] is a general winter fuzzy rule, and is set to have the same tendency as that of [Table 1]. However, the blower voltage is set lower than that of [Table 1]. I have. This is because heating is not required as much as in the cold regions shown in [Table 1]. The fuzzy rule in [Table 2]
Fuzzy rule. Further, an output such as B4, which is a value that cannot be actually output, is set as a fuzzy rule.

On the other hand, the fuzzy rule in Table 6 is a midsummer rule in which the outside air temperature is high. Therefore, the blower voltage is set to lower the inside air temperature as the temperature deviation becomes larger as the temperature deviation becomes more positive and the amount of solar radiation becomes larger. Is being made larger. In other words, in the middle of summer, the inside air temperature is reduced by controlling the blowout temperature to prevent the inside air temperature from rising due to the surrounding environment.With this, by increasing the blower voltage as the positive temperature deviation increases, And prevent the vehicle driver from feeling hot. Also, since the vehicle occupant feels hotter when the amount of solar radiation increases, the blower voltage is set higher. Outputs such as B3, B4, and B13, which are values that cannot be actually output, are set as fuzzy rules.

[Table 5] is a general summer fuzzy rule, and is set to have the same tendency as that of [Table 6] except that the blower voltage is set lower than that of [Table 6]. I have. This is because it is not necessary to lower the temperature as in midsummer in Table 6. The fuzzy rules in [Table 5] correspond to the above-described second fuzzy rules. Outputs such as B3 and B13, which are values that cannot be actually output, are set as fuzzy rules.

Next, the fuzzy rules in Tables 3 and 4 are intermediate fuzzy rules in which the outside air temperature is between the winter in Table 2 and the summer in Table 5; The fuzzy rule in [Table 3] is set to have an intermediate tendency between [Table 2] and [Table 5]. On the contrary, the fuzzy rule shown in [Table 4] is set to a tendency toward the summer, in which the blower voltage increases as the amount of solar radiation increases. B3, B4, which are values that cannot be actually output as fuzzy rules,
Output is set.

This is because if one fuzzy rule is set as a fuzzy rule in the middle period between summer and winter, the rule includes a fuzzy rule for winter and a fuzzy rule for summer in which the tendency of the increase and decrease of the air flow according to the increase in the amount of solar radiation is different. In the middle of spring or winter, in the area of temperature deviation ZO, if the amount of solar radiation is small, the amount of wind decreases as the amount of solar radiation increases, as in winter, and the amount of solar radiation Is large, the airflow increases with an increase in the amount of solar radiation, as in summer, which causes discomfort to the vehicle occupants. In other words, in the present embodiment, two fuzzy rules, a fuzzy rule for spring and fall in winter, and a fuzzy rule for spring and summer in summer, [Table 4] are used as fuzzy rules in the middle period between summer and winter. This problem is solved by setting.

Next, the fuzzy rules shown in Tables 1 to 6 and the membership function shown in FIG.
The procedure of fuzzy inference, truncation, and truncation performed in step 130 will be described with reference to the flowchart of FIG.

As shown in FIG. 1, first, at step 300, a temperature deviation Tdi is obtained by using the above-described equation (2), and the temperature deviation Tdi and the outside air temperature Tam and the solar radiation Ts read at step 120 (FIG. 3) are calculated. Based on this, a fuzzy set to which these three input variables belong is selected. In the following step 310, a CF value for the input variable is obtained for each of the selected fuzzy sets.

Next, at step 320, the fuzzy set to which the above three input variables belong is selected to match any of the above fuzzy rules. For each matched fuzzy rule, the CF value of the temperature deviation Tdi and the outside air are determined. CF at temperature Tam
The value is multiplied by the CF value of the solar radiation Ts to calculate a composite value of the CF values. In the subsequent step 330, the membership function relating to the corresponding blower voltage Vb is weighted by the composite value according to the second half (THEN or less) of the fuzzy rule selected in step 300 (specifically, the corresponding blower voltage Vb is integrated with the fuzzy set of Vb).

Next, at step 340, the membership functions relating to the blower voltage Vb weighted for each fuzzy rule are all superimposed to create a membership function relating to the new blower voltage Vb by union.

Then, in step 350, step 34
The center of gravity G of the new membership function created at 0 is calculated. Then, in step 360, it is checked whether or not the barycentric value G is within a certain range (for example, 5.0 ≦ G
If it is out of the range, the barycenter value G is cut off (for example, G is set to 5.0 if G is smaller than 5.0), and the center of gravity is cut off (for example, G is set to G if larger than 12.0). = 12.0
) Is performed. The value is determined as the blower voltage Vb.

In step 350, the blower voltage Vb is equally divided into 10 points and the superimposed average value of the divided 10 points is calculated in order to speed up and simplify the calculation. The value G is calculated.

[0051]

G = Σ (blower voltage Vb × CF value) / Σ (CF value) Next, a specific example of fuzzy inference along the above-described flowchart of FIG. 1 will be described with reference to FIGS. FIG. 5
7 shows that the outside air temperature Tam is Tam2.4 and the temperature deviation Tdi is E3.
2 shows an example of inference of the blower voltage Vb when the solar radiation Ts is Ts1.5.

When the outside air temperature Tam is Tam2.4, the fuzzy set of the outside air temperature applies to two sets of WI and AU. On the other hand, when the temperature deviation Tdi is E3.2, the fuzzy sets of the temperature deviation apply to two sets of ZO and PS. Further, when the solar radiation Ts is Ts1.5, the fuzzy set of the solar radiation applies to two sets of WK and MD.

Therefore, in step 300, the fuzzy rules (a18), (a23), (a19), (a24) in [Table 2] and the fuzzy rules ( a33), (a38), (a3
4) and (a39) are selected.

When the fuzzy rule is selected in this way,
Step 310 for each selected fuzzy rule
The process of step 330 is performed. Therefore, a specific example of the processing of steps 310 to 330 will be described below using the fuzzy rule (a18) as an example.

Since the other selected fuzzy rules are executed in the same manner as described below, FIG. 5 shows the execution for the fuzzy rules (a18), (a23), (a19) and (a24). FIG. 6 shows a fuzzy rule (a3
3), (a38), (a34), and (a39) are only described, and the detailed description thereof is omitted.

As shown in FIG. 5, in the fuzzy rule (a18), when the outside air temperature Tam is Tam2.4, the CF value of the fuzzy set WI is 0.6, and the temperature deviation Tdi is E3.
2, the CF value of the fuzzy set ZO is 0.8, and the fuzzy set W when the solar radiation Ts is Ts1.5.
Since the CF value of K is 0.5, in step 310, each fuzzy set WI, Z of the fuzzy rule (a18)
0.6, 0.8, and 0.5 are calculated as CF values of O and WK.

Next, at step 320, the CF values 0.6, 0... Of the respective feasible sets WI, ZO, WK obtained in this way.
Multiply by 8, 0.5 (0.6 × 0.8 × 0.5 = 0.2
4) to obtain a composite value of the CF values.

At step 330, a weighting process is performed by multiplying the composite value 0.24 of the CF value by the membership function B8 of the blower voltage Vb. Thus, each fuzzy rule (a18), (a23),
When a membership function for the weighted blower voltage Vb is obtained for each of (a19), (a24), (a33), (a38), (a34), and (a39), as shown in FIG. By adding all the membership functions, a membership function for a new blower voltage Vb is created (step 340).

Then, with respect to the membership function of the newly created blower voltage Vb, the center of gravity value G is calculated by the above-described equation 4, and the inference result of the target value of the blower voltage Vb is obtained (step 350). ).

Finally, it is checked whether the inference result is a value that can be output. If the output is possible, the value is set as the blower voltage Vb. If the value is not output, the value is cut off or cut off. (Step 36)
0).

As described above, in this embodiment, the blower voltage Vb is determined by performing the fuzzy inference using the temperature deviation Tdi, the outside air temperature Tam, and the solar radiation amount Ts as inputs, and the fuzzy inference is performed. , Winter (WI), spring-autumn (AU), spring-summer (AS), summer (SU), and midsummer (S) set in accordance with the outside air temperature.
The six types of fuzzy rules of S) are used.

Further, by setting some non-outputtable numerical values in the fuzzy rule, truncating them, and truncating them, even if the membership function of the control input is one kind of triangular shape, it can be used as a control amount. Can obtain the same characteristics as when the membership function of the control input is trapezoidal.

FIG. 8 shows the characteristics of the blower voltage Vi with respect to the temperature deviation Tdi when the solar radiation Ts = WK and the outside air temperature = AU, and the results will be described. Normally, it will not be a cutback and fictitious voltage fuzzy rule system, the fuzzy rule (a34), (a35) a voltage Vi at point such always When B5 E4 in it becomes a 5V, the above embodiment Fuzzy rules (a34), (a
By using the overhead voltage B4 in 35), the minimum blower voltage can be set to 5V at E3.6 between E3 and E4. Further, the B4 B3 or, by using a value such as B3.4 decimal point, that point can be set freely, it is possible to though the advantages described or changes the shape of the membership function.

In the above-described embodiment, three inputs of the outside temperature Tam, the amount of solar radiation Ts, and the temperature deviation Tdi are used as the control inputs, but two of them may be used. Further, in the above-described embodiment, a membership function having a triangular or trapezoidal shape is used as the membership function. However, such a membership function may be formed in a form conforming to the control specifications, such as a bell shape. Any shape may be used as long as no inconsistency occurs in the fuzzy operation.

Also, in the above embodiment, the fuzzy inference
Although the algebraic product-addition-centroid method was used, general min-m
The ax-centroid method may be used. Further, in the above-described embodiment, the description has been given of the vehicle air conditioner, but any system may be used as long as the system has a saturation characteristic in the output.

[0066]

According to the present invention, since the characteristics of the control amount can be changed relatively freely without changing the form of the membership function, the complexity of resetting the form of the membership function is eliminated. be able to.

[Brief description of the drawings]

FIG. 1 is a flowchart showing the control in step 130 of FIG. 3 in detail.

FIG. 2 is a schematic configuration diagram showing the configuration of the entire vehicle air conditioner in one embodiment of the present invention.

FIG. 3 is a flowchart showing an air conditioning control process executed by an ECU used in the embodiment.

FIG. 4 is a graph showing a membership function stored in a ROM.

FIG. 5 shows fuzzy rules (a16), (a21), (a1) executed in steps 310 to 330 of FIG.
It is explanatory drawing explaining the specific example with respect to 7) and (a22).

FIG. 6 shows fuzzy rules (a31), (a36), and (a3) executed in steps 310 to 330 of FIG.
It is explanatory drawing explaining the specific example with respect to 2) and (a37).

FIG. 7 is an explanatory diagram illustrating a specific example of a process executed in step 340 of FIG. 1;

FIG. 8 is a characteristic diagram showing a blower voltage as a control amount corresponding to a temperature difference between a set temperature and an internal air temperature in the embodiment.

FIG. 9 is a characteristic diagram showing a blower voltage as a control amount corresponding to a temperature difference between a set temperature and an internal air temperature in the related art.

FIG. 10 is a diagram corresponding to claims of the present invention.

[Explanation of symbols]

 X1, X2 Control input R Fuzzy rule Y Control amount Z Final control amount

Continued on the front page (72) Inventor Katsuhiko Samukawa 1-1-1, Showa-cho, Kariya-shi, Aichi, Japan Inside Denso Corporation (72) Inventor Yuji Honda 1-1-1, Showa-cho, Kariya-shi, Aichi Japan Inside Denso Corporation (56 References JP-A-4-74203 (JP, A) JP-A-3-28015 (JP, A) JP-A-62-124119 (JP, A) (58) Fields investigated (Int. Cl. ⁷ , DB Name) B60H 1/00 101 G05B 13/02

Claims (2)

(57) [Claims] 1. A predetermined control input based on a given control input
Determined by fuzzy inference control amount of the device, and the machine
In fuzzy control method for use in a control system for predetermined limit the operating range of the vessel is present, the control amount exceeds the limit value in the fuzzy rule
A fuzzy control method characterized by partially setting the control amount obtained by the fuzzy inference at the limit value and finally outputting this as a control amount to the device . 2. The control system is used in a vehicle air conditioner for applying a predetermined blower voltage to a blower motor to blow air into a duct, controlling the temperature of the blown air with a heat exchanger, and blowing the air into a passenger compartment. The control input is at least two of a temperature deviation between an inside air temperature in the vehicle interior and a vehicle interior set temperature, an outside air temperature, and an amount of solar radiation.
2. The fuzzy control method according to claim 1, wherein the apparatus comprises the blower motor, and the control amount comprises the blower voltage.