JP2517446B2 - Absorption chiller control method and absorption chiller control device - Google Patents

Description

The present invention relates to an absorption refrigerator (including an absorption chiller / heater),
In particular, it relates to a control device for an absorption refrigerator.

(B) Prior art In Japanese Patent Laid-Open No. 58-160778, for example, the cold water outlet temperature is detected to control the amount of heat to the regenerator, and the level of the absorbing liquid in the regenerator is detected to detect the absorber. Control the amount of rare absorbent flowing from the regenerator to the regenerator, and detect the cold water inlet temperature to determine the appropriate value of either the heating amount of the regenerator for this temperature or the amount of rare absorbent flowing to the regenerator. There is disclosed a control device for an absorption refrigerating machine which controls one of the heating amount and the amount of the rare absorption liquid based on this value.

(C) Problem to be Solved by the Invention In the above-mentioned conventional technique, proportional control or PID control for detecting the cold water outlet temperature to control the heating amount of the regenerator is general.

Further, in the absorption refrigerator, the relationship between the cold water outlet temperature and the refrigerating capacity (refrigerating capacity) is generally as shown in FIG. As is clear from FIG. 9, when the cold water outlet temperature is higher than the rated point, the refrigerating capacity gradually increases as the cold water outlet temperature rises, and when it is lower than the rated point, the cold water outlet temperature decreases. As a result, the refrigerating capacity decreases sharply.

Considering the increase and decrease of the refrigerating capacity in the relationship between the change rate of the cold water outlet temperature and the refrigerating capacity, the refrigerating capacity is gradually increased for a positive change of the cold water outlet temperature and for a negative change. It needs to be sharply reduced. However,
In the above conventional PID control or proportional control, since the operation amount of the fuel control valve with respect to the rate of change of the cold water outlet temperature is linear, even in the case of positive change and negative change of the cold water outlet temperature, that is, the cold water outlet temperature The fuel control valve is controlled in the same manner when the pressure rises and falls. Then, for example, when the manipulated variable is set on the side where the rate of change is positive, the operation of the fuel control valve is delayed with respect to the decrease in the chilled water outlet temperature, and there is an overshoot downward where the chilled water outlet temperature is significantly lower than the set temperature. May occur.
Further, when the manipulated variable is set on the negative side of the rate of change, the fuel control valve is operated too early with respect to the rise of the chilled water outlet temperature, and the chilled water outlet temperature is significantly lower than the set temperature, resulting in excessive downward movement. There is a risk.

Also, when fuzzy control is adopted for control of the absorption refrigerator, if the rate of change of the chilled water outlet temperature is dTo and the manipulated variable of the fuel control valve or steam control valve is KQ, the rate of change in conventional fuzzy control is The membership function of (dTo) is represented in Figure 5. The membership function of the manipulated variable (KQ) of the fuel control valve or steam control valve is shown in FIG. Further, the fuzzy rule of the manipulated variable with respect to the above change rate is shown in FIG. Here, the fuzzy
Since there is no difference between the rule and the membership function in Fig. 5 on the positive side and the negative side of the rate of change, fuzzy reasoning is performed based on the rate of change of the chilled water outlet temperature, each membership function and the fuzzy rule. When the operation amount of the control valve is controlled by the above, there is a possibility that the cold water outlet temperature may excessively go downward as in the case of the above PID control. The third
In Figures 5, 5 and 6, PB (Positive Big) is positively large, PM (Positive Medium) is positively medium, PS (Positive Sm)
all) is positively small, ZR is zero, NS (Negative Small) is negatively small, NM (Nega-tive Medium) is negatively medium, NB (Negativ)
e Big) is a negative big thing.

An object of the present invention is to prevent the cold water outlet temperature from overshooting when the cold water outlet temperature changes and to stabilize the cold water outlet temperature.

(D) Means for Solving the Problems In order to solve the above problems, the present invention provides an evaporator (4),
The absorber (5), the high temperature generator (1), the condenser (3), etc. are connected to form a refrigeration cycle, and the high temperature generator (1)
In a method of controlling an absorption chiller in which the heating amount of is controlled according to an external condition, the rate of change of the chilled water outlet temperature is used as the external condition, and between the rate of change and the heating amount of the high temperature generator (1). Define membership function and fuzzy rules,
Fuzzy inference is performed based on this fuzzy rule and membership function, and the heating amount of the high temperature generator (1) with respect to the above change rate is gently changed when the change rate of the chilled water outlet temperature is positive, and when it is negative. Provides a control method for an absorption refrigerator that changes rapidly.

In addition, a membership function is provided between the rate of change of the chilled water outlet temperature and the manipulated variable of the fuel control valve (17) to determine the manipulated variable of the fuel control valve (17) of the high temperature generator (1) with respect to the above rate of change. A storage device (28) storing a membership function configured to change gently when the rate of change is positive and to change rapidly when the rate of change is negative; A fuzzy inference processor (arithmetic device) (27) for fuzzy inference based on a membership function of a memory device to compute the manipulated variable of a fuel control valve (17), and to provide a control device for an absorption refrigerator. Is.

Also, a high temperature generator for the rate of change of the cold water outlet temperature (1)
A storage device for storing a fuzzy rule configured such that the manipulated variable of the fuel control valve (17) is gently changed when the rate of change is positive and is rapidly changed when the rate of change is negative. (28) and a fuzzy inference processor (arithmetic device) (27) that calculates the manipulated variable of the fuel control valve (17) by fuzzy inference based on the cold water outlet temperature and the fuzzy rules of the storage device. A control device for a refrigerator is provided.

Further, a member configured to gradually change the heating amount of the high temperature generator (1) with respect to the change rate of the chilled water outlet temperature when the change rate is positive and to change rapidly when the change rate is negative. A storage device (28) for storing a ship function and a fuzzy rule, and a fuzzy inference for calculating the manipulated variable by fuzzy inference based on the rate of change and the membership function and fuzzy rule of the storage device (28). The present invention provides a control device for an absorption chiller, which includes a processor (arithmetic device) (27).

(E) Action When the cold water outlet temperature rises during operation of the absorption refrigerator,
That is, when the rate of change is positive, the heating amount of the high temperature generator (1) gradually increases by the fuzzy reasoning based on the fuzzy rule and the membership function, the refrigerating capacity increases, and the chilled water outlet temperature increases. When it is decreased, that is, when the rate of change is negative, the heating amount of the high temperature generator (1) is rapidly decreased by the fuzzy reasoning based on the fuzzy rule and the membership function, the refrigerating capacity is decreased, and the cold water is reduced. It becomes possible to stabilize the cold water outlet temperature by avoiding the outlet temperature from overshooting downward.

Further, when the chilled water outlet temperature rises or falls, fuzzy inference is performed by the fuzzy inference processor (27) based on the fuzzy rule or the membership function stored in the storage device (28), and absorption refrigeration is performed. The heating amount control valve (17) is controlled according to the characteristics of the machine, and when the rate of change of the chilled water outlet temperature is negative, the operation amount of the fuel control valve (17) is rapidly reduced and When the ratio is positive, it is possible to gradually increase the operation amount of the fuel control valve (17) and avoid excessive downward passage of the cold water outlet temperature.

(F) Embodiment Hereinafter, a first embodiment of the present invention will be described in detail with reference to the drawings.

Figure 1 shows a dual-effect absorption refrigerator that uses water as the refrigerant and lithium bromide (LiBr) solution as the absorbent (solution).
(1) is a high temperature generator equipped with a burner (1B), (2) is a low temperature generator, (3) is a condenser, (4) is an evaporator, (5)
Is an absorber, (6) is an absorption pump, (7) and (8) are a low temperature heat exchanger and a high temperature heat exchanger, respectively, (10) is a rare absorption liquid pipe, (11) is an intermediate absorption pipe, (12) ) Is a concentrated absorption liquid pipe, (13) is a refrigerant pipe, (14) is a refrigerant liquid flow pipe, (15)
Are refrigerant liquid circulation pipes, which are connected as shown in FIG. A refrigerant pump (15P) is provided in the refrigerant liquid circulation pipe (15). Further, (16) is a fuel supply pipe connected to the burner (1B), and a fuel control valve (heating amount control valve) is provided in the middle of this fuel supply pipe (16).
(17) is provided. Further, (20) is a cold water pipe, and an evaporator heat exchanger (21) is provided in the middle of this cold water pipe (20).
Is provided. Further, (22) is a cooling water pipe.

(23) is a control panel, (24) is a cold water outlet temperature detector provided in the cold water pipe (20), and the cold water outlet temperature detector (24) and the fuel control valve (17) are the control panel (23 )It is connected to the. The control panel (23) is provided with a microprocessor (25) and a control device (26) for the fuel control valve (17). The microprocessor (25) is composed of a fuzzy inference processor (arithmetic device) (27) and a control rule storage device (28). The fuzzy inference processor (27) performs a fuzzy logic operation based on the deviation from the set value of the cold water outlet temperature and the rate of change of the cold water outlet temperature, and the control rule and membership function described later, and operates the fuel control valve (17). The amount (opening) is obtained, and this manipulated variable is output to the control device (26). The control device (26) controls the opening degree of the fuel control valve (17) based on the operation amount. or,
A control rule storage device (28) stores control rules (fuzzy rules) and membership functions required for fuzzy logic operations executed by the fuzzy inference processor (27). Further, (30) is an arithmetic unit, which is based on the temperature data of the cold water outlet temperature detector (24) and shows the deviation from the set value of the cold water outlet temperature and the rate of change of the cold water outlet temperature, for example, every minute. Is calculated.

The fuzzy logic operation for obtaining the opening of the fuel control valve (17) is performed based on the control rule and the membership function. Regarding the above control rule, based on human experience, the deviation (eTo) from the set value of the cold water outlet temperature as shown in FIG. 7 and the operation amount (K of the fuel control valve (17)
A control rule is formed between the control rule and Q), and this control rule is stored in the storage device (28). Further, regarding the control rule, a control rule is configured between the rate of change of the chilled water outlet temperature and the operation amount of the fuel control valve (17) as shown in FIG. 2, and this control rule is stored in the storage device (28). Remembered As is apparent from FIG. 2, when the rate of change is PB, that is, when it is positively large, the manipulated variable is set to the positive medium of PM (Positive Medium) to suppress the manipulated variable. Further, when the rate of change is NS, that is, a small negative value, the operation amount is increased to the negative value of NM (Negative Medium) without setting the operation amount to NS. That is, there is a difference in the operation amount between the positive side and the negative side of the cold water outlet temperature.

The membership function of the fuzzy variables PB, PS, ZR, NS, and NB with respect to the deviation from the set value of the cold water outlet temperature is shown in FIG. The membership function of the fuzzy variables PB, PS, ZR, NS and NB with respect to the rate of change of the cold water outlet temperature is shown in FIG. In addition, the fuel control valve (1
Fuzzy variables PB, PM, PS, ZR, NS, NM, NB for the opening of 7)
The membership function of is shown in FIG.
As is clear from FIG. 8 and FIG. 5, the membership functions for the deviation and the change rate are different between the positive side and the negative side of the deviation from the set value and the positive side and the negative side of the change rate. Is not provided.

Then, a fuzzy logic operation is performed in the fuzzy inference processor (27) based on the cold water outlet temperature according to the above control rule and the membership function.

The operation of the absorption refrigerator will be described below. During operation of the absorption refrigerator, the high temperature generator (1) burns,
The absorption liquid pump (6) and the refrigerant pump (15P) operate. Therefore, the absorption liquid circulates as in the conventional absorption refrigerator. Further, the refrigerant vapor is condensed in the low temperature generator (2) and flows to the condenser (3), and the refrigerant vapor generated in the low temperature generator (2) is condensed in the condenser (3). The refrigerant liquid then flows from the condenser (3) to the evaporator (4). Then, the refrigerant liquid is sprinkled on the evaporator heat exchanger (21), and the cold water whose temperature has dropped is supplied from the evaporator (4) to the load.

Further, based on the deviation of the chilled water outlet temperature from the set value, the membership function for the deviation in FIG. 8 above, the fuzzy rule in FIG. 7 and the member quantity for the manipulated variable in FIG.
Fuzzy inference is performed with the ship function, and the membership value of the manipulated variable of the fuel control valve (17) is obtained. Here, if the deviation is, for example, −1.4 ° C., fuzzy inference is performed as shown in FIG. 10 to obtain the membership value (A) for the deviation from the set value of the cold water outlet temperature. At this time, when the load is reduced and the rate of change is, for example, −0.6 ° C./min, fuzzy inference is performed as shown in FIG. 11, and the manipulated variable is NS with respect to the rate of change NS.
Determined by a larger NM. Then, the membership value (B) for the deviation is obtained. The operation amount is determined by the centroid of the logical sum of the membership value (B) and the membership value (A), that is, the centroid (G ₁ ) of the membership value (C) with respect to the operation amount shown in FIG. Will be decided. Then, the opening of the fuel control valve (17) rapidly decreases, and the refrigerating capacity decreases.

Further, the deviation is −1.4 ° C. as in the above example, the load increases and the chilled water outlet temperature change rate is, for example, 0.8 ° C./min.
In this case, fuzzy inference is performed as shown in FIGS. 10 and 13. And the members for the above deviation
The ship value (A) is calculated, and the membership value (D) for the change rate is calculated. Here, in the fuzzy rule, the manipulated variable is determined to be PM smaller than PB with respect to the change rate PB. Further, the operation amount is determined by the center of gravity of the logical sum of these membership values (A) and (D), that is, the center of gravity (G ₂ ) of the membership value (F) with respect to the operation amount shown in FIG. It is determined. Then, the opening degree of the fuel control valve (17) gradually increases, and the refrigerating capacity increases.

According to the above embodiment, the fuzzy rule of the manipulated variable with respect to the change rate of the cold water outlet temperature is determined as shown in FIG. 2, and when the change rate of the cold water outlet temperature is PB (just large), the manipulated variable is set. Is PM (positively medium) and the rate of change is NS (negatively small), the manipulated variable is set to NM (negatively medium), so if the rate of change is positive, the change in the chilled water outlet temperature is large. Also, the amount of operation is determined by fuzzy reasoning, the fuel control valve (17) can be operated gently, and on the negative side of the rate of change, the amount of operation is greatly determined by fuzzy reasoning even if the chilled water outlet temperature is small. The control valve (17) can be operated rapidly. As a result, the characteristics of the absorption chiller against the rise and fall of the chilled water outlet temperature, that is, the chilled water outlet temperature gradually rises as the chilled water load increases, and the chilled water outlet temperature rises as the chilled water load decreases. The fuel control valve (17) can be controlled in consideration of the characteristic of rapidly decreasing, and the operation of the absorption refrigerator can be stabilized.

Below are the members for the rate of change of the fuel control valve (17).
A second embodiment in which the ship function is provided with a difference between the positive side and the negative side of the rate of change will be described.

As shown in FIG. 4, the membership function with respect to the rate of change is provided with a difference between the positive side and the negative side in the rate of change, and this membership function is stored in the storage device (28). That is, the membership values of NB, NS, and ZR are approaching zero rate of change. The membership functions for the fuzzy rules and the manipulated variables are those shown in FIGS. 3 and 6, respectively.
It is stored in 8). Therefore, the evaluation of the absolute value of the change rate is large or small on the positive side and large or small on the negative side.

Hereinafter, the control of the absorption refrigerating machine by the control device in which the membership function with respect to the change rate as described above is stored in the storage device (28) will be described.

When the chilled water outlet temperature change rate is, for example, −0.4 ° C / min during operation of the absorption chiller, fuzzy inference is performed as indicated by the dashed line in Fig. 15, and each membership value and fuzzy・ The membership value (H) for the operation amount is calculated from the rule. When the deviation from the set value of the cold water outlet temperature is, for example, −1.4 ° C. as in the above embodiment, fuzzy reasoning is performed as shown in FIG. 10 and the membership value (A) for the manipulated variable is calculated. Is required. Then, the operation amount is determined from the centroid of the logical sum of the membership values (H) and (A).

When the deviation is, for example, −1.4 ° C. and the rate of change is, for example, 0.4 ° C./min, fuzzy inference is performed on the rate of change as indicated by the chain double-dashed line in FIG. And
The membership value (I) with respect to the manipulated variable is obtained by each membership function and fuzzy rule. The operation amount is determined from the center of gravity of the logical sum of the membership value (I) and the membership value (A) for the deviation. The absolute value of this manipulated variable has a change rate of −
It is smaller than the absolute value of the manipulated variable at 0.4 ° C / min.

If the rate of change is, for example, -0.7 ° C / min, the 16th
Fuzzy inference is performed as indicated by the chain line in the figure. And each membership function and fuzzy
A membership value (J) with respect to the operation amount is obtained by the rule. At this time, if the deviation is −1.4 ° C., which is the same as in the above embodiment, the membership value (A) is obtained in the same manner as above. Then, the operation amount is determined from the center of gravity of the logical sum of the membership value (A) and the membership value (J).

According to the above embodiment, the membership function of the rate of change of the chilled water outlet temperature is determined as shown in FIG. 4, and the membership values (NB), (NS), (ZR) are set to 0 (zero). , The difference between the positive side and the negative side of the rate of change is set. On the positive side of the rate of change, the manipulated variable is determined to be small by fuzzy reasoning even if the absolute value of the rate of change is large, so the fuel control valve (17)
Can be operated gently. On the negative side of the rate of change, the amount of operation is largely determined by fuzzy reasoning even if the rate of change is small, so the fuel control valve (17) can be operated rapidly, and as a result, the fuel control valve (17) can be operated with respect to changes in chilled water outlet temperature. Fuel control that matches the characteristics of the absorption chiller with the control valve (17), that is, the chilled water outlet temperature gradually rises as the load increases and the chilled water outlet temperature rapidly decreases as the load decreases. The valve (17) can be controlled, and the cold water outlet temperature can be stabilized.

Below are the members for the rate of change of the fuel control valve (17).
As shown in FIG. 4, the ship function is provided with a difference between the positive side of the rate of change and the load, and the fuzzy rule between the rate of change and the manipulated variable is the rate of change as shown in FIG. A third embodiment in which a difference is provided between the positive side and the load will be described. The memory stores the membership functions shown in FIGS. 6 and 8 and the fuzzy rules shown in FIG. 7.

Hereinafter, the control of the absorption refrigerator in which the membership value and the fuzzy rule as described above are stored in the storage device (28) will be described.

During operation of the absorption chiller, when the deviation of the chilled water outlet temperature is, for example, −1.4 ° C. as in the above embodiment, fuzzy inference is performed as shown in FIG. 10, and the membership value for the manipulated variable is calculated. (A) is required. At this time, when the rate of change is, for example, −0.4 ° C./min, fuzzy inference is performed as shown in FIG.
The ship value (H) is required. And this member
The operation amount is obtained from the center of gravity of the logical sum of the ship value (H) and the membership value (A).

Further, when the deviation of the cold water outlet temperature is, for example, −1.4 ° C. and the rate of change is 0.4 ° C./min, fuzzy inference is performed as shown in FIG. 10, and the membership value (A) for the deviation is shown. Is calculated, and fuzzy reasoning is performed as shown in FIG. 15 to calculate the manipulated variable (I).
Then, the operation amount is obtained from the center of gravity of the logical sum of the membership value (I) and the membership value (A).

Here, comparing the absolute value of the manipulated variable when the rate of change is −0.4 ° C./min and 0.4 ° C./min, the absolute value of the manipulated variable at −0.4 ° C./min is 0.4 ° C./min. Bigger than when.

According to the above-described embodiment, the membership function and the fuzzy rule of the change rate of the chilled water outlet temperature are determined as shown in FIGS. 4 and 2, respectively, and the member is determined on the positive side and the negative side of the change rate.・ Providing a difference in the ship function and fuzzy rules. On the positive side of the rate of change, even if the absolute value of the rate of change is large, the amount of operation is determined by fuzzy reasoning. On the negative side of the rate of change, even if the absolute value of the rate of change is small, the amount of operation is determined by fuzzy reasoning. Is largely determined. Therefore, the fuel control valve (17) can be gently operated on the positive side of the rate of change, and the fuel control valve (17) can be rapidly operated on the negative side, resulting in the characteristics of the absorption refrigerator. The matched fuel control valve (17) can be controlled, and the operation of the absorption refrigerator can be stabilized.

The present invention is not limited to the above embodiment,
The membership function and the fuzzy rule are arbitrarily set on the positive side and the negative side of the rate of change according to the capacity of the absorption refrigerator.

Further, in each of the above embodiments, the absorption refrigerator having the high temperature generator (1) equipped with the burner (1B) has been described. However, the high temperature generator using high temperature steam is used as a heating source, and the high temperature generator is used. Similar effects can be obtained when the opening degree of the control valve that controls the supply amount of high-temperature steam to the fuel cell is controlled based on fuzzy reasoning as in the control of the fuel control valve (17).

(G) Effect of the Invention The present invention is a control method or a control apparatus for an absorption refrigerating machine configured as described above, wherein a membership function and a fuzzy function are provided between the rate of change of the chilled water outlet temperature and the heating amount of the generator.・ Define the rules, this fuzzy rule and members ・
Fuzzy inference is performed based on the Ship function, the heating amount is gently changed when the cold water outlet temperature rises, and the heating amount is rapidly changed when the cold water outlet temperature falls, so absorption refrigeration is performed when the cold water outlet temperature changes. It is possible to control the heating amount of the high temperature generator that matches the characteristics of the machine.
The cold water outlet temperature can be stabilized.

Further, when the rate of change of the chilled water outlet temperature is positive, the operation amount of the heating amount control valve is gently changed, and when the rate of change is negative, the operation amount is changed rapidly.
The storage device stores the ship function or the fuzzy rule, and the arithmetic device controls the heating amount control valve by performing fuzzy inference based on the fuzzy rule or the membership function stored in the storage device. When the temperature rises or falls, it is possible to control the heating amount control valve that matches the characteristics of the absorption chiller, avoid excessive lowering of the cold water outlet temperature, and stabilize the cold water outlet temperature.

Furthermore, the membership function and the fuzzy rule are configured so that the amount of heating of the generator with respect to the rate of change of the chilled water outlet temperature is gradually changed when the rate of change is positive and is rapidly changed when the rate of change is negative. A storage device that stores
It has a computing device that computes the manipulated variable of the heating amount control valve by fuzzy inference based on the rate of change, the membership function and the fuzzy rule, so when the chilled water outlet temperature changes, the computing device Fuzzy inference is performed based on the membership function and fuzzy rules, and the heating amount control valve can be controlled according to the characteristics of the absorption refrigerator, and as a result, excessive decrease in the chilled water outlet temperature can be avoided. It is possible to stabilize the cold water outlet temperature.

BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 is a circuit configuration diagram of an absorption chiller showing an embodiment of the present invention, and FIGS. 2 and 3 are diagrams showing fuzzy rules of manipulated variables with respect to change rates, respectively. 4 and 5 are diagrams showing the membership function of the rate of change, FIG. 6 is a diagram showing the membership function of the manipulated variable, and FIG. 7 is a diagram showing a fuzzy rule of the manipulated variable with respect to the deviation. FIG. 8 is a diagram showing a membership function of deviation, FIG. 9 is a relational diagram between the chilled water outlet temperature and refrigerating capacity (refrigerating capacity), and FIGS. 10 to 16 are explanatory diagrams of fuzzy reasoning. (1) …… High temperature generator, (3) …… Condenser, (4) ……
Generator, (5) ... absorber, (17) ... fuel control valve (heating amount control valve), (27) ... fuzzy inference processor (arithmetic device), (28) ... storage device.

 ─────────────────────────────────────────────────── ─── Continuation of the front page (72) Inventor Kazuhiro Hitomi 2-18 Keihan Hondori, Moriguchi City, Osaka Sanyo Electric Co., Ltd. (56) Reference JP 62-77567 (JP, A) JP Flat 2-140564 (JP, A) JP-A-63-131942 (JP, A)

Claims (4)

(57) [Claims] 1. A method for controlling an absorption refrigerator, wherein an evaporator, an absorber, a generator, a condenser, etc. are connected to form a refrigeration cycle, and a heating amount of the generator is controlled by an external condition. Using the rate of change of the cold water outlet temperature as the condition, define a membership function and a fuzzy rule between this rate of change and the heating amount of the generator, and perform fuzzy reasoning based on this fuzzy rule and the membership function. However, the heating amount of the generator with respect to the rate of change is gently changed when the rate of change of the cold water outlet temperature is positive, and is rapidly changed when the rate of change of the cold water outlet temperature is negative. Control method of absorption refrigerator. 2. A control device for an absorption refrigerating machine, wherein an evaporator, an absorber, a generator, a condenser, etc. are connected to form a refrigeration cycle, and a heating amount control valve of the generator is controlled by an external condition. The change rate of the chilled water outlet temperature is used as an external condition, and the operation amount of the heating amount control valve with respect to this change rate is gently changed when the change rate is positive, and rapidly when the change rate is negative. A storage device that stores a membership function that is configured to change, and a computing device that performs fuzzy inference based on the cold water outlet temperature and the membership function of the storage device to compute the manipulated variable of the heating control valve. An absorption refrigerating machine control device comprising: 3. A control device for an absorption refrigerating machine, wherein an evaporator, an absorber, a generator, a condenser, etc. are connected to form a refrigeration cycle, and a heating amount control valve of the generator is controlled by an external condition. The deviation from the set value of the chilled water outlet temperature is used as the external condition, and the operation amount of the heating amount control valve with respect to this change rate is gently changed when the above change rate is positive, and when the above change rate is negative. Is a storage device that stores a fuzzy rule configured to change rapidly, and an arithmetic device that calculates the manipulated variable of the heating amount control valve by fuzzy inference based on the cold water outlet temperature and the fuzzy rule of the storage device. An absorption refrigerating machine control device comprising: 4. A control device for an absorption refrigerating machine, wherein an evaporator, an absorber, a generator, a condenser, etc. are connected to form a refrigeration cycle, and a heating amount control valve of the generator is controlled by an external condition. The rate of change of the cold water outlet temperature is used as an external condition, and the manipulated variable of the heating amount control valve with respect to this rate of change is gradually changed when the rate of change of the cold water outlet temperature is positive, and when the rate of change is negative. Is a storage device that stores membership functions and fuzzy rules that are configured to change rapidly, and the rate of change of the chilled water outlet temperature and the membership of the storage device.
A control device for an absorption chiller, comprising: a fuzzy inference based on a ship function and a fuzzy rule to calculate a manipulated variable of a heating amount control valve.