JPH0443267A - Control device for absorption freezer - Google Patents

Abstract

PURPOSE:To stabilize a cold water outlet temperature by a method wherein when an operation amount of a heating amount control valve and a heating amount of a generator are changed according to the rate of change of a cooling water inlet temperature, fuzzy inference is carried out based on a fuzzy rule stored in a memory device and a membership function. CONSTITUTION:During operation of an absorption freezer, fuzzy inference is carried out by a fuzzy inference processor 27 based on the rate of change of a cooling water inlet temperature, a membership function stored in a memory device 28, or a fuzzy rule. When a rate of change is positive, operation of a fuel control valve 17 is rapidly changed and a heating amount of a high temperature generator 1 is rapidly changed. When a rate of change is negative, a heating amount of a high temperature generator 1 is slowly changed and an operation amount of the fuel control valve 17 is slowly changed, and respective operation amounts are controlled according to the characteristics of an absorption freezer. This constitution enables stabilization of a cooling water outlet temperature in a short time in response to a change in a cooling water inlet temperature.

Description

DETAILED DESCRIPTION OF THE INVENTION (A) Field of Industrial Application The present invention relates to an absorption refrigerator (including an absorption chiller/heater), and particularly to a control device for an absorption refrigerator.

(b) Conventional technology For example, Japanese Patent Application Laid-open No. 58-160780 discloses a control system that detects the chilled water outlet temperature and controls the amount of heat source to the generator, and a control system that detects the coolant inlet temperature and controls the amount of heat source supplied to the generator. A control device for an absorption refrigerator is disclosed that controls the amount of heat source supplied to the generator based on the output from a function generator that determines an appropriate value of the amount of heat source based on a preset function based on the temperature.

(c) Problems to be solved by the invention In absorption refrigerators, cooling water inlet temperature and refrigeration capacity (refrigeration capacity)
Generally, the relationship between the two is as shown in FIG. and,
If the cooling water inlet temperature is higher than the rated point, for example 32°C, the refrigeration capacity will decrease rapidly as the cooling water inlet temperature increases, and if the cooling water inlet temperature is lower than the rated point, the refrigeration capacity will decrease. It increases gradually as the water inlet temperature decreases.

Considering this in terms of the relationship between the rate of change in the cooling water inlet temperature and the refrigeration capacity, the refrigeration capacity increases rapidly in response to a positive change in the cooling water inlet temperature, and increases rapidly in response to a negative change in the cooling water inlet temperature. It is necessary to gradually reduce the refrigeration capacity.

Here, in the control device for an absorption refrigerator disclosed in Japanese Patent Application Laid-open No. 58-160780, the amount of heat source of the generator with respect to the rate of change of the cooling water inlet temperature is determined in the same way whether the rate of change is positive or negative. If the cooling water inlet temperature decreases, the heating source amount decreases too quickly and the chilled water outlet temperature shifts above the set value, which may delay the chilled water outlet temperature from stabilizing at the set value. There is. Furthermore, the increase in the amount of heat source is too slow with respect to the increase in the coolant inlet temperature, which may cause the chilled water outlet temperature to deviate above the set value, resulting in a delay in the chilled water outlet temperature stabilizing at the set value.

Furthermore, when adopting fuzzy reasoning to control an absorption chiller, if the rate of change in the cooling water inlet temperature is dTc i and the operating amount of the fuel control valve or steam control valve is KQ, then in conventional fuzzy control, the rate of change is (dTci) to the manipulated variable (KQ
) is clearly expressed in Figure 3, the membership function of the rate of change (dTci) is expressed in Figure 5, and the membership function of the manipulated variable (KQ) of the fuel control valve or steam control valve is expressed in Figure 3. The ship function can be expressed in Figure 6. When the operating amount (KQ) of the fuel control valve is controlled with respect to the rate of change (dTci) of the cooling water inlet temperature based on the above fuzzy rule and membership function, the above Similarly, the chilled water outlet temperature may deviate above the set value, and there is a risk that it will be delayed for the chilled water outlet temperature to stabilize at the set value. In addition, in Figures 3, 5, and 6, P
B (Po5itive Big) is a true dog, PM
(Po5itive Medium) is exactly medium, P S
(PositiveSmall) is positively small, ZR is zero, N S (NegativeSmall) is negatively small, NM (Negative Medium) is negatively medium, and NB (Negative Big) is negatively large.

The present invention prevents the chilled water outlet temperature from shifting above the set value when the coolant inlet temperature changes, and stabilizes the chilled water outlet temperature at the set value in a short time in response to changes in the coolant inlet temperature. The purpose is to

(d) Means for Solving the Problems In order to solve the above problems, the present invention connects an evaporator (4), an absorber (5), a high temperature generator (1), a condenser (3), etc. In a control device for an absorption chiller that constitutes a refrigeration cycle and controls the heating amount of the high-temperature generator (1) according to external conditions, the change rate of the cooling water inlet temperature and the heating amount of the high-temperature generator (1) are controlled. A membership function and a fuzzy rule are constructed between them, and fuzzy inference is performed based on this fuzzy rule and membership function to generate a high temperature generator (1).
and rapidly change the heating amount of the high temperature generator (1) with respect to the above rate of change when the rate of change of the cooling water inlet temperature is positive, and when the rate of change of the cooling water inlet temperature is negative. In this case, we provide a control device for an absorption refrigerator that changes the temperature slowly.

In addition, a membership function or fuzzy rule is provided between the rate of change of the cooling water inlet temperature and the manipulated variable of the fuel control valve (heat amount control valve) (17), and if the rate of change is positive, The membership function or fuzzy rule is configured to change the manipulated variable rapidly, and change the manipulated variable slowly when the rate of change is negative, and the fuzzy rule or membership This invention provides a control device for an absorption chiller that controls the operation amount of a fuel control valve (17) by performing fuzzy inference based on a function.

Furthermore, the high temperature generator (
Membership functions and fuzzy functions configured such that the operation amount of the fuel control valve (17) in 1) is changed rapidly when the rate of change in the cooling water population temperature is positive, and slowly when it is negative. - A storage device (28) for storing rules;
a fuzzy inference processor (1) that calculates the operation amount of the fuel control valve (17) by performing fuzzy inference based on the rate of change of the cooling water inlet temperature and the membership function and fuzzy rule stored in the storage device (28); arithmetic unit) (2
7) A control device for an absorption refrigerator is provided.

(e) During operation of the effect absorption chiller, fuzzy inference is performed based on the rate of change in the cooling water inlet temperature, the membership function, and the fuzzy rule, and if the rate of change is positive, the high temperature generator ( If 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) matches the characteristics of the absorption refrigerator. It is possible to control the amount of heating, and it becomes possible to stabilize the cold water outlet temperature in a short time in response to changes in the coolant inlet temperature.

Further, when the cooling water inlet temperature changes, fuzzy inference is performed by the fuzzy inference processor (27) based on the rate of change of the cooling water inlet temperature and the membership function 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; if the rate of change is negative, the manipulated variable changes slowly, and the manipulated variable of the fuel control valve (17) changes rapidly. ) can be controlled in accordance with the characteristics of the absorption chiller, making it possible to stabilize the chilled water outlet temperature in a short time in response to changes in the chilled water inlet temperature.

(F) Example Hereinafter, a first example of the present invention will be described in detail based on the drawings.

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

(23) is a control panel, (24) is a chilled water outlet temperature detector installed in the chilled water pipe (20), and this chilled water outlet temperature detector (24) and fuel control valve (17) are connected to 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 a fuzzy inference processor (arithmetic unit)
(27) and a control rule storage device (28). Further, (30) is a calculation 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). Fuzzy inference processor (2
7) logically calculates the operation amount 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 cooling water inlet temperature, and outputs the obtained operation amount to the control device (26). do. The control device (26) controls the opening degree of the fuel control valve (17) based on the manipulated variable. In this embodiment, the opening degree of the fuel control valve (17) is outputted from the fuzzy inference processor (27). Further, the control rule storage device (28) stores control rules and membership functions necessary for fuzzy logic operations that can be executed by the fuzzy inference processor (27). The storage device (28) contains control rules for the operation amount (KQ> of the fuel control valve (17) for the deviation (eIo) of the cold water outlet temperature from the set value shown in FIG. 7 based on human experience, Qualitatively define the control rule for the manipulated variable (KQ) for the rate of change (dIci) of the cooling water inlet temperature shown in Figure 2, the deviation (ego) and the rate of change (dTci) shown in Figures 8 and 5. Membership functions to evaluate, i.e., fuzzy variables PB, PS, ZR,
The membership functions of NS, NB (7) and the manipulated variable (KQ) of the fuel control valve (17) shown in FIG. 6 are stored. Here, the membership function in Fig. 6 is the qualitatively evaluated fuel control valve (1
7) is a membership function that converts the manipulated variable into a quantitative value. In addition, in FIG. 2, FIG. 5, FIG. 6, FIG. 7, and FIG.
g ) is exactly a dog, PM (Po5itive Med
ium) is just medium, P S (Po5itive Sm
all) is exactly ノ'1, ZR is zero, N S (Neg
active Sa + all) is negatively small, NM (Nega
tive Medium) is negative medium, NB is (Nega
tiveBig) is negative inside. As is clear from the control rule in Fig. 2 above, when the rate of change (dIci) of the cooling water inlet temperature is PS (exactly small), the manipulated variable (K
Q) 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 NM (negatively medium). , operation amount (
KQ) is smaller than before. Further, (30) is a calculation device, and this calculation device (31) is a cold water outlet temperature detector (24).
), the deviation of the chilled water outlet temperature from the set value is calculated, and the rate of change of the coolant inlet temperature is calculated based on the temperature data of the coolant inlet temperature detector (31).

Then, a fuzzy logical operation is performed in the fuzzy inference processor (27) based on the chilled water outlet temperature and the coolant inlet temperature according to each of the above control rules and each membership function, and the operation amount of the fuel control valve (17) is determined. Desired.

The operation of the absorption refrigerator will be explained below. During operation of the absorption refrigerator, fuel is fully supplied to the high temperature generator (1), the burner (IB) burns, and the absorption liquid pump (6) and refrigerant pump (15P) are operated. Then, the absorption liquid and refrigerant circulate in the same manner as in conventional absorption refrigerators. and,
The refrigerant liquid is distributed in the evaporator (4) to the evaporator heat exchanger (21), and cold water whose temperature has been reduced is supplied from the evaporator (4) to the load. Further, the cooling water flowing through the cooling water pipe (22) absorbs heat in the absorber (5) and the condenser (3), and its temperature increases.

During operation of the absorption chiller, a fuzzy inference processor ( In step 27), fuzzy logical operations are performed to obtain membership values for the manipulated variables based on the deviations. Further, fuzzy logical operations are performed in the fuzzy inference processor (27) based on the rate of change of the cooling water inlet temperature, the control rules shown in FIG. 2, and the membership functions shown in FIGS. 5 and 6. The membership value for the manipulated variable based on the rate of change is determined.

Then, the logical sum of the membership values for each manipulated variable is calculated, and the center of gravity of this logical sum is the fuel control valve (1
7) The amount of operation is determined. Here, if the deviation (eTo) is, for example, -1.4°C, fuzzy inference is performed as shown in Figure 10 to find the membership value (A>) for the manipulated variable (KQ). When the rate of change (dTci) of the cooling water inlet temperature is, for example, -1.2℃/l1lin
In the case of , fuzzy inference is performed as shown in FIG. 11 to find the membership value (B) for the manipulated variable. Then, for example, in the case of the MAX center of gravity calculation method, the logical sum of the membership values (A) and (B) of the operation amount of the fuel control valve (17) based on the deviation and the rate of change is determined. The membership value of this logical sum is the outline (C) in Figure 12, which is the outline when each membership value (A), <B) is superimposed, and the center of gravity of this membership value (C) is G,) determines the operating amount of the fuel control valve (17).

Also, the deviation (eIo) is, for example, -1.4°C, and the rate of change of the cooling water inlet temperature (dIci) is, for example, 1.2°C.
/n+in, fuzzy inference is performed on the deviation as shown in FIG. 10 in the same manner as above, and the membership value (A) is determined. Further, regarding 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 OR of each of the above memberships (A) and (D) is determined. The membership value of this logical sum is (E) in Figure 14, and this membership value (E
) from the center of gravity (Ct) of the fuel control valve (17).

As mentioned above, the obtained operation amount is output from the fuzzy inference processor (27) to the control device (26>), and the opening signal is output from the control device (26) to the fuel control valve (17) based on the operation amount. The valve opening degree changes depending on the deviation of the chilled water outlet temperature from the set value and the rate of change of the coolant inlet temperature.

According to the first embodiment, the control rule for 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 embodiment.
As shown in the figure, when the cooling water inlet temperature increases little by little, that is, when the rate of change is PS (positively small), the manipulated variable is set to PM (positively medium), and the cooling water inlet temperature increases little by little. When the rate of change is NB (negatively large), the manipulated variable is set to NM (negatively medium), so the manipulated variable of the fuel control valve (17) based on fuzzy reasoning is Even if the change is small, the change is large, and on the negative side of the rate of change, the operation amount of the fuel control valve (17) is changed rapidly even if the change is large, so that the coolant inlet temperature is lowered. Sometimes change slowly. Therefore, the heating amount of the high temperature generator (1) can be adjusted by controlling the fuel control valve (17) in accordance with the characteristics of the absorption chiller, and the chilled water outlet temperature can be prevented from becoming higher than the set value. Even when the coolant inlet temperature changes, the chilled 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 is provided in the membership value for the rate of change between the positive side and the debt side of the rate of change of the cooling water inlet temperature. Similarly to the first embodiment, the storage device (28) stores the control rules and membership functions regarding the deviation (eTo) of the chilled water outlet temperature from the set value shown in FIGS. 7 and 8, and the sixth embodiment. Membership functions of fuzzy variables for the manipulated variables shown in the figure are stored. The storage device (28) also contains the member-Jetsub functions of fuzzy variables PB, PS, ZR, NS, and NB for the rate of change (drci) of the cooling water inlet temperature shown in FIG. The control rule for the manipulated variable with respect to the rate of change of the cooling water inlet temperature shown in FIG. 6, and the fuzzy variables PB, PM for the manipulated variable of the fuel control valve (17) shown in FIG.
, PS, ZR, NS, NM, and NB membership functions are stored. As is clear from Fig. 4, when the cooling water inlet temperature increases, that is, when the rate of change is positive,
A difference is made in the stage of determining the label of the membership function when the cooling water inlet temperature decreases, that is, when the rate of change is negative. Then, the fuzzy variables PB and PS are brought closer to zero.

When the absorption chiller is in operation, the deviation of the chilled water outlet temperature from the set value and the rate of change of the coolant inlet temperature are shown in Figures 3, 4, and 6, as in the first embodiment of Section 2. Fuzzy inference is performed in the fuzzy inference processor (27) based on the membership functions and control rules shown in FIGS.

Here, if the above deviation is, for example, -1.4°C, the first
The membership value (A>) is determined as shown in Figure 0. At this time, if the rate of change of the cooling water inlet temperature is, for example, -1.3°C/min, the membership value (A>) is calculated as shown in Figure 15. Fuzzy inference is performed as shown in FIG. The operating amount of the fuel control valve (17) is determined from the center of gravity (G3) of the ship value (H).

Also, the deviation is, for example, -1.4°C, and the rate of change is 1.3
In the case of °C/win, the membership value (A) is determined in the same manner as above, and the membership value (I) is determined as shown in FIG. And the first
As shown in Figure 8, each membership value (A), (I
) is the centroid (G, ) of the membership value (J) of the disjunction of
The operation amount of the fuel control valve (17) is determined from the following.

According to the second embodiment, as shown in FIG. 4, a difference is set in the membership value for the rate of change between the positive side and the negative side of the rate of change, and the fuzzy variables PB and PS are brought close to zero. Therefore, according to the fuzzy reasoning described above, the operating amount of the fuel control valve (17) changes rapidly when the coolant inlet temperature increases, and changes slowly when the coolant inlet temperature decreases. Therefore, it is possible to adjust the heating amount of the generator by controlling the opening degree of the fuel control valve (17) according to the characteristics of the absorption chiller, and to shorten the chilled water outlet temperature when the coolant inlet temperature changes. The setting value can be stabilized over time.

Below, the positive side and negative side of the rate of change of the cooling water inlet temperature are
A third embodiment in which differences are provided in the control rules and membership functions as shown in FIG. 4 will be described.

The storage device (29) stores the above-mentioned first. Similar to the second embodiment, the control rules for the deviation of the chilled water outlet temperature from the set value shown in FIGS. 7 and 8, the membership function and the fuzzy variable for the manipulated variable shown in FIG. Membership functions are stored. Also, storage device (
2e6> stores the control rule shown in FIG. 2 and the menu bar ship function shown in FIG. When the absorption refrigerator is in operation, if the deviation is, for example, -1.4°C, fuzzy inference is performed as shown in FIG. ) is required. At this time, if the rate of change in the cooling water inlet temperature is, for example, -1.6°C, fuzzy inference is performed as shown in Figure 19, and the membership value (M) for the manipulated variable is determined. . Then, the operating amount of the fuel control valve is determined from the center of gravity (G6) of the membership value (N) of the logical sum of the membership values (A>, (M)) shown in FIG.

Also, if the deviation is, for example, -1.4°C and the rate of change is, for example, 1.6°C, the membership value (
A> is determined, and fuzzy inference is performed as shown in FIG. 21 to determine the membership value (P). Then, each membership value (
Membership value (R) of the logical sum of A) and (P)
The operating amount of the fuel control valve is determined from the center of gravity (G,) of the fuel control valve.

According to the third embodiment, as shown in FIGS. 2 and 4, differences are provided in the control rules and membership values between the positive and negative sides of the rate of change of the cooling water inlet temperature. Therefore, according to the above fuzzy reasoning, the operation amount of the fuel control valve (17) changes rapidly when the cooling water inlet temperature increases, and changes gradually when the cooling water inlet temperature decreases, and according to the characteristics of the absorption chiller, The fuel control valve (17) can be controlled, and even if the coolant inlet temperature changes, the coolant outlet temperature can be stabilized at the set value in a short time.

In the above embodiment, an absorption refrigerator having a high-temperature generator (1) equipped with a burner (IB) has been described. Even in absorption chillers that control the amount of operation,
Similar effects can be obtained when the steam control valve is controlled based on fuzzy reasoning as in the above embodiment.

In addition, the control rules and membership functions are not limited to the above embodiments, and the control rules for the manipulated variable with respect to the rate of change of the cooling water inlet temperature or the membership function of the membership value may be applied to the positive side of the rate of change. By providing a difference between the cooling water inlet temperature and the negative side, and rapidly changing the control valve when the cooling water inlet temperature rises, and gently changing the control valve when the cooling water inlet temperature falls, it is possible to obtain the same effect as in the above embodiment.

(G) Effects of the Invention The present invention is a control device for an absorption refrigerator configured as described above, in which a member-Dopp function and a fuzzy J A rail is provided, and fuzzy inference is performed based on these fuzzy e-rules, membership functions, and cooling water inlet temperature, and when the cooling water inlet temperature increases, that is, when the rate of change is positive, the heating amount is rapidly changed. When the cooling water inlet temperature decreases, i.e.
When the rate of change is negative, the amount of heating is changed gradually, so when the cooling water inlet temperature changes, the cold water outlet temperature is prevented from stabilizing at a higher temperature than the set value, and the cold water outlet temperature can be adjusted in a short time. The setting value can be stabilized.

Furthermore, a membership function or fuzzy rule is provided between the rate of change of the cooling water inlet temperature and the operation amount of the heating amount control valve, and the Using fuzzy reasoning, if the rate of change is positive, the manipulated variable is allowed to change rapidly, and if the rate of change is negative, the manipulated variable is allowed to change slowly, so when the cooling water inlet temperature changes, the amount of heating The control valve can be controlled in accordance with the characteristics of the absorption refrigerator, and as a result, the chilled water outlet temperature can be stabilized at the set value in a short time.

Fuzzy inference is performed in the arithmetic unit based on the rate of change of the cooling water inlet temperature and the fuzzy rules and membership functions stored in the storage device, and the operation amount of the heating amount control valve is calculated. When the rate of change in water inlet temperature is positive, the amount of operation of the heating amount control valve changes rapidly, and when the rate of change is negative, the amount of operation mentioned above changes slowly. can be controlled in accordance with the characteristics of the absorption chiller, 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 explanation of drawings]

Fig. 1 is a circuit diagram of an absorption refrigerator showing an embodiment of the present invention, and Figs. 2 and 3 show the rate of change (df) of the cooling water inlet temperature.
Fig. 4 and Fig. 5 are explanatory diagrams of the membership function of the rate of change of cooling water inlet temperature, and Fig. 6 is an explanatory diagram of the fuzzy rule of the operation amount (KQ) of the heating amount control valve with respect to fci). Figure 7 is an explanatory diagram of the membership function of the manipulated variable of the quantity control valve, and the deviation from the set value of the chilled water outlet temperature (eTo
) of the operation amount (KQ) of the heating amount control valve.
An explanatory diagram of the rules, Fig. 8 is an explanatory diagram of the membership function of the deviation of the chilled water outlet temperature from the set value, Fig. 9 is a diagram of the relationship between the cooling water inlet temperature and refrigeration capacity (refrigeration capacity), and Fig. 10 22 to 22 are explanatory diagrams of fuzzy inference, respectively. (1)...High temperature generator, 3)...Condenser, (
4)...Evaporator, (5)...Absorber, (17)
...Fuel control valve (heating amount control valve), (27)...
Fuzzy inference processor (arithmetic device), (28)...
·Storage device. Shima 1 x /

Claims (1)

[Claims] 1. A control device for an absorption refrigerator that connects an evaporator, absorber, generator, condenser, etc. to form a refrigeration cycle, and controls the heating amount of the generator according to external conditions, A membership function and fuzzy rule are constructed between the rate of change of the cooling water inlet temperature and the amount of heating of the generator, and this fuzzy
The amount of heating of the generator is controlled by fuzzy inference based on rules and membership functions, and the amount of heating of the generator with respect to the above rate of change changes rapidly when the rate of change of the cooling water inlet temperature is positive. A control device for an absorption refrigerator, characterized in that when the rate of change of the cooling water inlet temperature is negative, the cooling water inlet temperature is changed gradually. 2. In an absorption refrigerating machine control device that connects an evaporator, absorber, generator, condenser, etc. to form a refrigeration cycle, and controls the heating amount control valve of the generator according to external conditions, the above-mentioned external conditions Using the rate of change of the cooling water inlet temperature as , when the rate of change is negative, the membership function is configured to change the manipulated variable gradually;
A control device for an absorption refrigerating machine, characterized in that the operation amount of a heating amount control valve is controlled by fuzzy inference based on this membership function. 3. In an absorption refrigerating machine control device that connects an evaporator, absorber, generator, condenser, etc. to form a refrigeration cycle, and controls the heating amount control valve of the generator according to external conditions, the above-mentioned external conditions Using the rate of change of the cooling water inlet temperature as The absorption system is characterized in that a fuzzy rule is configured so that the manipulated variable is changed gradually when the rate is negative, and the manipulated variable of the heating amount control valve is controlled by fuzzy reasoning based on this fuzzy rule. Refrigerator control device. 4. In an absorption refrigerator in which an evaporator, absorber, generator, condenser, etc. are connected to form a refrigeration cycle, and the heating amount control valve of the generator is controlled according to external conditions, cooling water is Using the rate of change in the inlet temperature, the operation amount of the heating amount control valve in response to this rate of change is configured to change rapidly when the rate of change in the cooling water inlet temperature is positive, and to change slowly when the rate of change in the cooling water inlet temperature is negative. membership function and fuzzy
A storage device that stores the rules, a rate of change of the cooling water inlet temperature, a membership function of the storage device, and a fuzzy
1. A control device for an absorption refrigerating machine, comprising: a calculation device that performs fuzzy inference based on rules and calculates an operation amount of a heating amount control valve.