JP2517448B2 - 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. 58-160780, for example, a control system for detecting the temperature of the cold water outlet to control the amount of heat source to the generator, and a cooling water inlet for detecting the cooling water inlet temperature. There is disclosed a control device for an absorption chiller that controls a heating source amount to a generator by an output from a function generator that obtains an appropriate value of the heating source amount from a temperature based on a preset function.

(C) Problem to be Solved by the Invention In the absorption refrigerator, the relationship between the cooling water inlet temperature and the refrigerating capacity (refrigerating capacity) is generally as shown in FIG. When the cooling water inlet temperature is higher than the rated point, for example, 32 ° C, the refrigerating capacity decreases rapidly with the increase of the cooling water inlet temperature, and when the cooling water inlet temperature is lower than the rated point, the refrigerating capacity is It gradually rises with a decrease in cooling water inlet temperature.
Considering this as the relationship between the rate of change of the cooling water inlet temperature and the refrigerating capacity, the refrigerating capacity is increased rapidly for a positive change of the cooling water inlet temperature and for the negative change of the cooling water inlet temperature. Needs to gradually reduce the refrigeration capacity.

Here, in the control device for the absorption chiller disclosed in JP-A-58-160780, the same applies to the case where the rate of change of the heating source of the generator with respect to the rate of change of the cooling water inlet temperature is positive or negative. If the control is performed in such a manner, the amount of the heating source decreases too quickly with respect to the decrease in the cooling water inlet temperature, and the cold water outlet temperature deviates above the set value, which may delay the stabilization of the cold water outlet temperature to the set value. There is. Further, the increase of the heating source amount may be too late with respect to the increase of the cooling water inlet temperature, and the cold water outlet temperature may deviate upward from the set value, which may delay the stabilization of the cold water outlet temperature to the set value.

Further, when adopting fuzzy reasoning for the control of the absorption refrigerator, if the change rate of the cooling water inlet temperature is dTci and the manipulated variable of the fuel control valve or the steam control valve is KQ, the change rate in the conventional fuzzy control ( The fuzzy rule of the manipulated variable (KQ) with respect to dTci) is shown in FIG. 3, the membership function of the rate of change (dTci) is shown in FIG. 5, and the operation of the fuel control valve or steam control valve is shown. The membership function of quantity (KQ) is represented in FIG. When the operation amount (KQ) of the fuel control valve with respect to the cooling water inlet temperature change rate (dTci) is controlled based on the fuzzy rule and the membership function, the Similarly, the chilled water outlet temperature may deviate above the set value, and the chilled water outlet temperature may be delayed from stabilizing to the set value. 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 (Negative Medium) is negatively medium, NB (Negative Small)
Big) is a negative big thing.

The present invention prevents the cold water outlet temperature from deviating above the set value when the cooling water inlet temperature changes, and stabilizes the cold water outlet temperature to the set value in a short time with respect to the change of the cooling water inlet temperature. The purpose is to

(D) Means for Solving the Problems In order to solve the above problems, the present invention provides an evaporator (4),
Control of an absorption refrigerating machine in which a refrigeration cycle is configured by connecting an absorber (5), a high temperature generator (1), a condenser (3), etc., and the heating amount of the high temperature generator (1) is controlled by external conditions. In the method, the rate of change of the cooling water inlet temperature and the high temperature generator (1)
Membership function and fuzzy
Configure the rules to create this fuzzy rule
Fuzzy inference based on the ship function is used to control the heating amount of the high temperature generator (1), and the heating amount of the high temperature generator (1) with respect to the above-mentioned rate of change is calculated when the rate of change of the cooling water inlet temperature is positive. Provides a control method for an absorption refrigerating machine that changes rapidly and slowly when the rate of change of the cooling water inlet temperature is negative.

Further, the operation amount of the fuel control valve (17) of the high temperature generator (1) with respect to the rate of change of the cooling water inlet temperature is rapidly changed when the rate of change is positive, and when the rate of change is negative. Storage device that stores fuzzy rules or membership functions that are configured to change slowly (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 cooling water inlet temperature and the membership function or fuzzy rule of the storage device. It is intended to provide a control device for absorption refrigeration provided.

Further, the operation amount of the fuel control valve (17) of the high temperature generator (1) with respect to the rate of change of the cooling water inlet temperature is rapidly changed when the rate of change of the cooling water inlet temperature is positive, and is changed when the rate of change of the cooling water inlet temperature is negative. A storage device (28) for storing a membership function and a fuzzy rule configured to change slowly, and a membership function and a fuzzy stored in the storage device (28) for the cooling water inlet temperature change rate. A fuzzy inference processor (arithmetic device) (27) for fuzzy inference based on rules and computing the manipulated variable of the fuel control valve (17) is provided.

(E) Action During operation of the absorption chiller, fuzzy inference is performed based on the rate of change of the cooling water inlet temperature, the membership function, and the fuzzy rule. If the rate of change is positive, a high temperature generator ( When the heating amount of 1) changes rapidly and the rate of change is negative, the heating amount of the high temperature generator (1) changes slowly, and the heating amount of the high temperature generator (1) that matches the characteristics of the absorption refrigerator is changed. The amount of heating can be controlled, and the cold water outlet temperature can be stabilized in a short time against changes in the cooling water inlet temperature.

When the cooling water inlet temperature changes, the fuzzy inference processor (27) performs fuzzy inference based on the rate of change of the cooling water inlet temperature and the membership function and / or fuzzy rule stored in the storage device (28). If the rate of change is positive, the manipulated variable of the fuel control valve (17) changes rapidly, and if the rate of change is negative, the manipulated variable changes slowly, and the fuel control valve (17 The manipulated variable in 17) can be controlled according to the characteristics of the absorption refrigerator, and the cold water outlet temperature can be stabilized in a short time against changes in the cooling water inlet 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 absorbent pump, (7) and (8) are a low temperature heat exchanger and a high temperature heat exchanger, respectively, (10) is a rare absorbent pipe, (11) is an intermediate absorbent pipe, ( 12) concentrated absorbent pipe, (13) refrigerant pipe, (14) refrigerant liquid down 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). Further, (30) is a computing device, and (31) is a cooling water inlet temperature detector provided in the cooling water pipe (22) on the inlet side of the absorber (5). A fuzzy inference processor (27) logically calculates the manipulated variable of the fuel control valve (17) using the deviation of the chilled water outlet temperature from the set value and the rate of change of the chilled water inlet temperature, and obtains the manipulated variable from the controller ( 26). The control device (26) controls the opening degree of the fuel control valve (17) based on the operation amount. In this embodiment, the fuzzy inference processor (27) to the fuel control valve (17)
Is output. A control rule storage device (28) stores a control rule and a membership function necessary for fuzzy logic operation executed by the fuzzy inference processor (27). Based on human experience, the storage device (28) controls the operation amount (KQ) of the fuel control valve (17) with respect to the deviation (eTo) from the set value of the cold water outlet temperature shown in FIG. 7, The control rule of the manipulated variable (KQ) with respect to the rate of change (dTci) of the cooling water inlet temperature shown in FIG. 2, the deviation (eTo) and the rate of change (dTc) shown in FIGS. 8 and 5.
Membership function for qualitatively evaluating i),
That is, the membership function of the fuzzy variables PB, PS, ZR, NS, NB, and the manipulated variable (K of the fuel control valve (17) shown in FIG. 6 (K
The membership function of Q) is remembered. Here, the membership function of FIG. 6 is a membership function for converting the manipulated variable of the fuel control valve (17) qualitatively evaluated into a quantitative value. Moreover, FIG. 2, FIG. 5, and FIG.
In Figures 7, 7 and 8, PB (Positive Big)
Is really large, PM (Positive Medium) is really medium, PS (Posit Medium)
ive Small is just small, ZR is zero, NS (Negative Smal)
l) is negatively small, NM (Negative Medium) is negatively medium, and NB (Negative Big) is negatively medium. As is clear from the control rule in FIG. 2 above, when the rate of change in cooling water inlet temperature (dTci) is PS (positively small), the manipulated variable (KQ) is PM.
(Positively medium), the manipulated variable (KQ) is larger than before, and when the rate of change (dTci) is NB (negatively large), the manipulated variable (KQ) is
It is NM (negatively medium), and the manipulated variable (KQ) is smaller than before.
Further, (30) is an arithmetic unit, and this arithmetic unit (31) calculates the deviation from the set value of the chilled water outlet temperature based on the temperature data of the chilled water outlet temperature detector (24), and the cooling water inlet The rate of change of the cooling water inlet temperature is calculated based on the temperature data of the temperature detector (31).

Then, a fuzzy logic operation is performed by the fuzzy inference processor (27) based on the cooling water outlet temperature and the cooling water inlet temperature by the above control rules and each membership function, and the operation amount of the fuel control valve (17) is changed. Desired.

The operation of the absorption refrigerator will be described below. During operation of the absorption refrigerator, fuel is supplied to the high temperature generator (1), the burner (1B) burns, and the absorption liquid pump (6) and the refrigerant pump (15P) operate. Then, as in the conventional absorption refrigerator, the absorbing liquid and the refrigerant circulate. Then, the refrigerant liquid is sprayed to the evaporator heat exchanger (21) by the evaporator (4), and the cold water whose temperature has dropped is supplied from the evaporator (4) to the load. Further, the cooling water flowing through the cooling water pipe (22) absorbs heat from the absorbing liquid (5) and the condenser (3) and its temperature rises.

During operation of the absorption chiller, the fuzzy inference processor (based on the deviation of the chilled water outlet temperature from the set value, the control rule shown in FIG. 7 and the membership function shown in FIGS. 6 and 8 ( In 27), fuzzy inference operation is performed and the membership value for the manipulated variable based on the deviation is obtained. Further, a fuzzy logic operation is performed by a fuzzy inference processor (27) based on the rate of change of the cooling water inlet temperature, the control rule shown in FIG. 2 and the membership function shown in FIGS. 5 and 6. Performed, a membership value for the manipulated variable based on the rate of change is determined. Then, the logical sum of the membership values for the respective manipulated variables is obtained, and the manipulated variable of the fuel control valve (17) is determined from the center of gravity of the logical sum. Here, when the deviation (eTo) is, for example, −1.4 ° C., fuzzy inference is performed as shown in FIG. 10 and the operation amount (K
Membership value (A) for Q) is required.
At this time, if the rate of change of the cooling water inlet temperature (dTci) is, for example, -1.2 ° C / min, fuzzy reasoning is performed as shown in Fig. 11 and the membership value (B) for the manipulated variable is calculated.
Is required. And, for example, in the case of MAX centroid calculation method,
The logical sum of the membership values (A) and (B) of the manipulated variables of the fuel control valve (17) is obtained by the deviation and the rate of change.
The membership value of this logical sum is (C) in FIG. 12 which is an outline when the respective membership values (A) and (B) are overlapped, and the center of gravity of this membership value (C) ( Determine the manipulated variable of the fuel control valve (17) from G ₁ ).

Further, when the deviation (eTo) is, for example, −1.4 ° C. and the rate of change of the cooling water inlet temperature (dTci) is, for example, 1.2 ° C./min,
As for the deviation, fuzzy reasoning is performed as shown in FIG. 10 in the same manner as above, and the membership value (A) is obtained. As for the rate of change, fuzzy inference is performed as shown in FIG. 13 to obtain the membership value (D) for the manipulated variable. Then, the logical sum of the memberships (A) and (D) is obtained. The membership value of this logical sum is (E) of FIG. 14, and the fuel control valve (17) is calculated from the center of gravity (G ₂ ) of this membership value (E).
Determine the operation amount of.

As described above, the calculated manipulated variable is output from the fuzzy inference processor (27) to the control device (26), and the opening signal is output from the control device (26) based on the manipulated variable.
7) and the valve opening changes according to the deviation of the chilled water outlet temperature from the set value and the rate of change of the chilled water inlet temperature.

According to the first embodiment described above, the control rule of the operation amount of the fuel control valve (17) with respect to the rate of change of the cooling water inlet temperature is set to the second rule.
When the cooling water inlet temperature rises little by little as shown in the figure, that is, when the rate of change is PS (positively small), the manipulated variable is
PM (positively medium), when the cooling water inlet temperature gradually decreases, that is, when the rate of change is NB (negatively large), the manipulated variable is
Since NM (negatively medium), the operation amount of the fuel control valve (17) by fuzzy reasoning is operated on the positive side of the rate of change even if the change is small and large, and on the negative side of the rate of change it is operated on the large side and small. The manipulated variable of the fuel control valve (17) is rapidly changed when the temperature of the cooling water inlet is increased, and is gradually changed when the temperature of the cooling water inlet is decreased. Therefore, the heating amount of the high temperature generator (1) can be adjusted by controlling the fuel control valve (17) according to the characteristics of the absorption refrigerator, and the cold water outlet temperature can be prevented from becoming higher than the set value. Even when the cooling water inlet temperature changes, the cold water outlet temperature can be stabilized at the set value in a short time.

Hereinafter, a second embodiment of the present invention will be described in which a difference in the membership value with respect to the change rate is provided on the positive side and the negative side of the change rate of the cooling water inlet temperature. As in the first embodiment, the memory device (28) has a control rule and a membership function for the deviation (eTo) from the set value of the cold water outlet temperature shown in FIG. 7 and FIG. The membership functions of fuzzy variables for the manipulated variables shown in the figure are stored. Further, the storage device (28) stores a fuzzy variable for the rate of change (dTci) of the cooling water inlet temperature shown in FIG.
Membership functions of PB, PS, ZR, NS, and NB, control rules for manipulated variable with respect to rate of change of cooling water inlet temperature shown in FIG. 3, and fuel control valve (17) shown in FIG. Membership functions of fuzzy variables PB, PM, PS, ZR, NS, NM, and NB for manipulated variables are stored. As is clear from FIG. 4, when the cooling water inlet temperature rises, that is, when the rate of change is positive, and when the cooling water inlet temperature decreases, that is, when the rate of change is negative, the membership function Differences are made at the label determination stage. And, the fuzzy variables PB and PS are close to zero.

When the absorption chiller is in operation, the deviation from the set value of the cold water outlet temperature and the rate of change of the cooling water inlet temperature are the same as in the first embodiment, as shown in FIG. 3, FIG. 4, FIG. Fuzzy inference is performed by the fuzzy inference processor (27) based on the membership functions and control rules shown in FIGS. 7 and 8, and the manipulated variable of the fuel control valve (17) is determined.

Here, when the deviation is, for example, −1.4 ° C., the membership value (A) is obtained as shown in FIG. Then, at this time, if the rate of change of the cooling water inlet temperature is, for example, −1.3 ° C./min, fuzzy inference is performed as shown in FIG. 15 and the membership value (F) for the manipulated variable is obtained. . Then, as shown in FIG. 16, the manipulated variable of the fuel control valve (17) is calculated from the center of gravity (G ₃ ) of the membership value (H) of the logical sum of the membership values (A) and (F). decide.

The deviation is, for example, -1.4 ° C, and the rate of change is 1.3 ° C / min.
In the case of, the membership value (A) is obtained in the same manner as described above, and the membership value (I) is obtained as shown in FIG. Then, as shown in FIG. 18, the manipulated variable of the fuel control valve (17) is calculated from the center of gravity (G ₄ ) of the membership value (J) of the OR of the membership values (A) and (I). decide.

According to the second embodiment, as shown in FIG. 4, the fuzzy variables PB and PS are set close to zero by providing a difference in the membership value with respect to the change rate between the positive side and the negative side of the change rate. Therefore, according to the above fuzzy reasoning, the manipulated variable of the fuel control valve (17) changes rapidly when the cooling water inlet temperature rises, and changes gently when the cooling water inlet temperature falls. For this reason, the heating amount of the generator can be adjusted by controlling the opening of the fuel control valve (17) according to the characteristics of the absorption refrigerator, and the cold water outlet temperature can be shortened when the cooling water inlet temperature changes. It can be stabilized at the set value over time.

Hereinafter, a third embodiment in which a control rule and a membership function are different between the positive side and the negative side of the rate of change of the cooling water inlet temperature as shown in FIGS. 2 and 4 will be described. To do.

The storage device (28) stores the control rule for the deviation from the set value of the chilled water outlet temperature shown in FIGS. 7 and 8 and the membership function as in the first and second embodiments. The membership functions of fuzzy variables for the manipulated variables shown in FIG. 6 are stored. In addition, the storage device (2
The control rules shown in FIG. 2 and the membership function shown in FIG. 4 are stored in 8). When the absorption refrigerator is operating and the deviation is, for example, −1.4 ° C., fuzzy inference is performed as shown in FIG. 10 to obtain the membership value (A), as in the above embodiments. To be Then, at this time, the rate of change of the cooling water inlet temperature is, for example, −1.
In the case of 6 ° C, fuzzy reasoning is performed as shown in Fig. 19, and the membership value (M) for the manipulated variable is obtained. Then, the manipulated variable of the fuel control valve is determined from the center of gravity (G ₅ ) of the membership value (N) of the logical sum of the membership values (A) and (M) shown in FIG.

The deviation is, for example, −1.4 ° C., and the change rate is, for example, 1.6.
In the case of ° C, the membership value (A) is obtained in the same manner as described above, and fuzzy reasoning is performed to obtain the membership value (P) as shown in Fig. 21. Then, each membership value (A) shown in FIG.
The manipulated variable of the fuel control valve is determined from the center of gravity (G ₆ ) of the membership value (R) of the logical sum of (P).

According to the third embodiment, as shown in FIGS. 2 and 4, the control rule and the membership value are provided with a difference between the positive side and the negative side of the rate of change of the cooling water inlet temperature. So
Based on the above fuzzy reasoning, the manipulated variable of the fuel control valve (17) changes rapidly when the cooling water inlet temperature rises, and changes gently when the cooling water inlet temperature falls, and fuel control is performed according to the characteristics of the absorption refrigerator. The valve (17) can be controlled, and the chilled water outlet temperature can be stabilized at the set value in a short time even when the chilled water inlet temperature changes.

In the above embodiment, the absorption refrigerator having the high temperature generator (1) equipped with the burner (1B) has been described, but high temperature steam or the like is used as the heating source, and the steam control valve of the steam control valve is changed according to the cold water outlet temperature. Also in the absorption refrigerating machine for controlling the manipulated variable, similar effects can be obtained when the steam control section is controlled based on the fuzzy reasoning as in the above embodiment.

Further, the control rule and the membership function are not limited to those in the above-described embodiment, and the positive side of the rate of change is added to the control rule of the manipulated variable or the membership function of the membership value with respect to the rate of change of the cooling water inlet temperature. By providing a difference between the cooling water inlet temperature and the negative side, the control valve is rapidly changed when the cooling water inlet temperature rises, and the control valve is gently changed when the cooling water inlet temperature falls, whereby the same effect as the above embodiment can be obtained.

(G) Effect of the Invention The present invention is a control method or a control apparatus for an absorption chiller configured as described above, wherein a membership function and a difference between the rate of change of the cooling water inlet temperature and the heating amount of the generator are set. A fuzzy rule is provided, and fuzzy inference is performed based on these fuzzy rules and membership functions and the cooling water inlet temperature, and the heating amount changes rapidly when the cooling water inlet temperature rises, that is, when the rate of change is positive. When the cooling water inlet temperature decreases, that is, when the rate of change is negative, the heating amount is gently changed.Therefore, when the cooling water inlet temperature changes, the cooling water outlet temperature should be stable at a temperature higher than the set value. And the cold water outlet temperature can be stabilized at the set value in a short time.

Further, the storage device rapidly changes the operation amount of the heating amount control valve of the generator with respect to the change rate of the cooling water inlet temperature when the change rate is positive, and changes gently when the change rate is negative. The membership function or the fuzzy rule configured so as to be stored is stored, and the arithmetic unit performs fuzzy inference based on the fuzzy rule or the membership function stored in the storage device to determine the operation amount of the heating amount control valve. When the rate of change is positive, the operation amount is changed rapidly, and when the rate of change is negative, the operation amount is changed gently. The control valve can be controlled according to the characteristics of the absorption refrigerator,
As a result, the cold water outlet temperature can be stabilized at the set value in a short time.

Further, a fuzzy inference is performed by the arithmetic unit based on the rate of change of the cooling water inlet temperature and the fuzzy rule and the membership function stored in the storage device, and the operation amount of the heating amount control valve is calculated. If the rate of change of the inlet temperature is positive, the operation amount of the heating amount control valve changes rapidly, and if the rate of change is negative, the operation amount changes gently. It can be controlled according to the characteristics of the absorption refrigerator, and as a result, when the cooling water inlet temperature changes, the cold water outlet temperature can be stabilized at the set value in a short time.

[Brief description of 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 cooling water inlet temperature change rates (dTc).
Fuzzy of the manipulated variable (KQ) of the heating amount control valve for i)
FIG. 4 is an explanatory diagram of a rule, FIG. 4 and FIG. 5 are explanatory diagrams of a membership function of the rate of change of the cooling water inlet temperature, and FIG. 6 is an explanatory diagram of a membership function of an operation amount of the heating amount control valve. Fig. 7 is an explanatory diagram of the fuzzy rule of the manipulated variable (KQ) of the heating amount control valve with respect to the deviation (eTo) from the set value of the cold water outlet temperature, and Fig. 8 is the member of the deviation from the set value of the cold water outlet temperature. FIG. 9 is an explanatory view of the ship function, FIG. 9 is a relationship diagram between cooling water inlet temperature and refrigerating capacity (refrigerating capacity), and FIGS. 10 to 22 are explanatory diagrams of fuzzy reasoning. (1) …… High temperature generator, (3) …… Condenser, (4) ……
Evaporator, (5) ... Absorber, (17) ... Fuel control valve (heat amount control valve), (27) ... Fuzzy inference processor (arithmetic unit), (28) ... Memory device.

 ─────────────────────────────────────────────────── ─── Continuation of the front page (72) Inventor Atsushi Ogawa 2-18, Keihan Hondori, Moriguchi City, Osaka Sanyo Electric Co., Ltd. (56) Reference JP-A-58-160780 (JP, A) JP-A 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. The rate of change of the cooling water inlet temperature is used as a condition, and a membership function and a fuzzy rule are constructed between this rate of change and the heating amount of the generator. Based on this fuzzy rule and the membership function, a fuzzy rule is established. Inferring this, the heating amount of the generator is controlled, and when the rate of change of the cooling water inlet temperature is positive, the amount of heating of the generator with respect to the above rate of change is changed rapidly so that the rate of change of the cooling water inlet temperature is A method of controlling an absorption refrigerating machine, which is characterized by gradually changing when the value is negative. 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. When the rate of change of the cooling water inlet temperature is used as an external condition, the manipulated variable of the heating amount control valve with respect to this rate of change is changed rapidly when the rate of change is positive, and gradually when the rate of change is negative. A storage device that stores a membership function that is configured to change the temperature and a calculation that calculates the manipulated variable of the heating amount control valve by fuzzy inference based on the cooling water inlet temperature and the membership function of the storage device. An apparatus for controlling an absorption refrigerating machine. 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. When the rate of change of the cooling water inlet temperature is used as an external condition, the manipulated variable of the heating amount control valve with respect to this rate of change is changed rapidly when the rate of change is positive, and gradually when the rate of change is negative. A storage device that stores a fuzzy rule configured to be changed to a variable, and a calculation device that calculates the operation amount of the heating amount control valve by fuzzy inference based on the cooling water inlet 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 cooling water inlet temperature is used as the external condition, and the operation amount of the heating amount control valve for this rate of change is rapidly changed when the rate of change of the cooling water inlet temperature is positive, and the rate of change is negative. In this case, based on the memory function storing the membership function and the fuzzy rule configured to change slowly, and based on the rate of change of the cooling water inlet temperature and the membership function and the fuzzy rule of the memory apparatus. A control device for an absorption chiller, comprising: a fuzzy inference for calculating a manipulated variable of a heating control valve.