JPH04169756A - Control device for absorption type freezer - Google Patents

Abstract

PURPOSE:To perform the most appropriate control over a circulating amount of absorption liquid and improve a heating efficiency at a generating device by a method wherein a plurality of varying amounts expressing an external or an internal condition are detected and the number of revolution of an absorption liquid pump is controlled under a fuzzy logical calculation. CONSTITUTION:A calculation device 32 calculates a rate of variation of a degree of opening of a fuel control valve 17, a difference from a liquid level setting value of a high temperature generator 1 and a rate of variation of liquid level in response to a deviation of a cold water outlet temperature of an evaporator 4 from its set value. The fuzzy logical processor 30 outputted the values performs a fuzzy logical calculation in response to a fuzzy rule of a memory device 31 and a membership function, determines an operating amount of an absorption liquid pump 6 and outputs it to a control device 27 for an invertor. The invertor control device 27 outputs a signal having a frequency subtracted another frequency up to now indicating an operating amount of the absorption liquid pump 6 to an invertor device 6A. Due to this fact, a discharging amount of the absorption liquid of the absorption liquid pump 17 is varied in response to a variation in heating calorie of a high temperature generator 1 and a variation in liquid level and then a liquid level of the high temperature generator 1 can be kept constant.

Description

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

(b) Conventional technology For example, Japanese Patent Application Laid-open No. 58-160778 discloses that the amount of heating to the generator is controlled by detecting the cold water outlet temperature, and the absorption liquid level in the generator is detected to control the amount of heating to the generator. In addition to controlling the amount of dilute absorbent flowing from the inlet to the generator, the system also detects the cold water inlet temperature and determines the optimal value for either the amount of heating of the generator or the amount of dilute absorbent flowing to the generator for this temperature. A control device for an absorption refrigerator has been disclosed in which the amount of heat is calculated and either the amount of heating or the amount of dilute absorption liquid is controlled based on this value.

(/'I) Problems to be Solved by the Invention In the above-mentioned conventional technology, proportional control detects the absorbent level in the generator and controls the amount of dilute absorbent flowing from the absorber to the generator;
Alternatively, PID control was common.

However, the above-mentioned control has the problem of poor responsiveness to startup, shutdown, gentle load fluctuations, rapid load fluctuations, or cooling water temperature fluctuations.

SUMMARY OF THE INVENTION An object of the present invention is to provide a control device for an absorption chiller that has good responsiveness to startup, shutdown, load fluctuations, and the like.

(2) Means for Solving the Problems In order to solve the above problems, the present invention connects an evaporator (4), an absorber (5), a generator (1), a condenser (3), etc. In an absorption refrigerator control device that forms a refrigeration cycle and controls the heating amount of the generator (1) as well as the circulation amount of absorption liquid, external conditions such as the opening degree of the heating amount control valve and internal conditions A detection device that detects a plurality of changes representing conditions, a storage device (31) that stores fuzzy rules and membership functions, and a fuzzy logic operation that allows absorbing liquid to be transferred from the absorber (5) to the generator (1). A calculation device (30) that calculates the number of rotations of the absorption liquid pump (16) that sends the water, and a calculation device (30) that inputs the output of the calculation device (30) to calculate the rotation speed of the absorption liquid pump (16).
The present invention provides a control device for an absorption refrigerator, which is equipped with a control device for increasing and decreasing the number of revolutions of the absorption refrigerator, and is configured to control the circulation amount of absorption liquid.

In addition, a generator (
1) liquid level detector (33), feedback signal detection device (28) for the opening of the heating amount control valve (17), and external conditions;
A storage device (31) that stores control rules for determining the circulating amount of absorption liquid for information representing internal conditions, a liquid level detector (33) of the generator (1), and a heating amount control valve (17). The optimal absorption liquid pump (
Fuzzy inference processor (3) that calculates the operation amount of (16)
0), and an absorption liquid pump control device (27>) that inputs the output of the fuzzy inference processor (30) and increases or decreases the frequency of the power supplied to the absorption liquid pump (16),
The present invention provides a control device for an absorption refrigerator that controls the circulation amount of absorption liquid.

Further, the liquid level of the absorbing liquid in the generator (1), the fuzzy rule between the heating amount of the generator (1) and the circulation amount of the absorbing liquid, and the liquid level of the absorbing liquid in the generator (1) and the generation a storage device (31) for storing a membership function between the heating amount of the generator (1) and the circulation amount of the absorbing liquid; and the liquid level of the absorbing liquid in the generator (1) and the heating of the generator (1) output of a fuzzy inference processor (30) and a fuzzy inference processor (30) that performs fuzzy logic operations based on the quantity, the fuzzy rule, and the membership function to calculate the operation amount of the absorption liquid pump (16). and a control device (27) that inputs and increases/decreases the frequency of the electric power supplied to the absorption liquid pump (16), and provides a control device for an absorption refrigerator that controls the circulation amount of the absorption liquid. It is.

In addition, the absorption liquid pump (16) is operated by fuzzy logic operations based on the liquid level of the absorption liquid in the generator, the heating amount of the generator, the temperature of the generator (1), fuzzy rules, and membership functions. It is equipped with a fuzzy inference processor (30) that calculates the amount of absorption, and a control device (27) that inputs the output of the fuzzy inference processor (30) to increase or decrease the frequency of the power supplied to the absorption liquid pump (16). The present invention provides a control device for an absorption refrigerator that controls the amount of liquid circulated.

Furthermore, the deviation of the liquid level of the absorbing liquid in the generator (1) from the set value, the rate of change in the liquid level of the absorbing liquid in the generator (1), the
), the rate of change in the temperature of the generator (1), the rate of change in the cooling water inlet temperature, fuzzy logic operations based on fuzzy rules and membership functions to operate the absorption liquid pump. It is equipped with a fuzzy inference processor (30) that calculates iL, and a control device (27) that inputs the output of the fuzzy inference processor (30) to increase or decrease the frequency of the power supplied to the absorption liquid pump (16). The present invention provides a control device for an absorption refrigerator that controls the amount of liquid circulated.

(*) When the operating refrigeration load changes, the heating amount control valve (17) of the generator (1)
) changes, the absorber (5) is changed to the generator (1) using fuzzy logic operations based on human experience.
The rotation speed of the absorption liquid pump (16) that sends the absorption liquid to ) is controlled, the liquid level in the generator (1) is kept almost constant, and the heating efficiency of the absorption liquid in the generator (1) can be improved. It becomes possible.

In addition, the liquid level of the absorption liquid in the generator (1), the heating amount of the generator (1), the temperature of the generator (1), the inlet temperature of the cooling water, and the fuzzy rules stored in the storage device (31) and a fuzzy inference processor (3
Absorption liquid pump (16) by fuzzy logic operation at 0)
Based on Iruma's experience, when the liquid level of the absorbent in the generator (1) changes, the amount of heating in the generator (1) changes, etc. The frequency of the power supplied to the refrigeration system changes, making it possible to control the circulation amount of the absorption liquid with good responsiveness to startup, shutdown, rapid fluctuations in refrigeration load, or gentle fluctuations.

(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)
is the dilute absorption liquid piping, (11) is the intermediate absorption liquid piping, (12)
1 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 (15F>) is provided in the middle of the refrigerant liquid circulation pipe (15). Also, (16) is a fuel supply pipe connected to the burner (IB), and this fuel supply pipe (16) A fuel control valve (heating amount control valve) (17) is provided in the middle of the pipe.Also, (20) is a cold water pipe, and this cold water pipe (2
0) is provided with an evaporator heat exchanger (21). Furthermore, (22) is a cooling water pipe, and (6A) is an inverter that supplies power to the absorption liquid pump (6).

(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) includes a microprocessor (25), a control device (26) for the fuel control valve (17), an inverter control device (27), a feedback signal control device (28), and a generator liquid level detection device. A device (29) is provided, and a microprocessor (25) is a fuzzy inference processor (arithmetic unit) (
30) and a control rule storage device (31). Further, (32) is a calculation device, (33) is a liquid level detector installed in the high temperature generator (1) and detects the liquid level of the absorption liquid, and (34) is a cooling water on the inlet side of the absorber (5). Piping (22
) is a cooling water inlet temperature detector installed in the The arithmetic unit 32) receives a signal from the chilled water outlet temperature detector (24) and calculates the deviation from the set value of the chilled water outlet. In addition, the feedback signal detector (28> inputs the valve opening signal from the fuel control valve (17) and outputs the valve opening to the calculation device (32). Also, the generator liquid level detection device (29) is a device (32) that calculates the liquid level by inputting the signal from the liquid level detector (33).
Output to.

The arithmetic device (32) determines the opening degree of the fuel control valve (17) based on the rate of change over a predetermined period of time (for example, 1 minute), the deviation of the liquid level of the high temperature generator (1) from the optimum value, and the deviation of the liquid level of the high temperature generator (1) from the optimum value. Calculate the rate of change in the liquid level over a predetermined time. Fuzzy inference processor (30
) is the fuel control valve (17) input from the calculation device (32)
, the deviation of the liquid level of the high temperature generator (1) from the optimum value, the rate of change of the liquid level of the high temperature generator (1) over a predetermined time, and the fuzzy data input from the storage device (31). Fuzzy logic operations are performed based on rules and membership functions.

The storage device (31) stores fuzzy rules and member information necessary for fuzzy logical operations based on human experience.
I have memorized the ship function. And the storage device (31
) stores fuzzy rules for the operation amount of the fuel control valve (17) with respect to the deviation (eTo) of the chilled water outlet temperature from the set value. In addition, the operation amount (dI) of the absorption liquid pump (6) with respect to the deviation (eLg) of the liquid level of the high temperature generator (1) from the optimum value (set value) shown in FIG. 2 is stored in the storage device (31).
n) fuzzy rules, the high temperature generator (
1) The absorption liquid pump (
6) Fuzzy rule for the manipulated variable (dIn) and the rate of change (dBk) in the opening degree of the fuel control valve (17) shown in Figure 4
A fuzzy rule for the operation amount (dIn) of the absorption liquid pump (6) is stored. Here, Figures 2 and 3
In the figure and FIG. 4, F B (Po5itive
Big ) is truly big, P S (PositiveSm
all) is exactly small, ZR is zero, N S (Nega
tiveSmall) is negatively small, N B (Negat
ive Big) means negatively large.

In addition, the storage device (31) stores the deviation (eLg), rate of change (dLg), and rate of change (
membership function for qualitatively evaluating the dBk) and the operation amount (
The membership function of frequency) (dIn) is stored. Here, the membership function shown in FIG. 8 is a membership function that changes the operation amount of the absorption liquid pump (6), which has been qualitatively evaluated, into a quantitative value.

Then, by each of the above fuzzy rules and each membership function, fuzzy logic operations are performed in the fuzzy inference processor (30) based on the liquid level of the high temperature generator (1) and the opening degree of the fuel control valve (17). The absorption liquid pump (
The manipulated variable 6), that is, the amount of change in the frequency of the electric power supplied to the absorption liquid pump <6) is determined.

The operation of the absorption refrigerator will be explained below. During operation of the absorption refrigerator, fuel is 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. Then, the refrigerant liquid is completely sprayed into the evaporator heat exchanger (21) by the evaporator (4), 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.

Further, the fuzzy logic is executed in the fuzzy inference processor (30) based on the deviation of the cold water outlet temperature of the evaporator (4) from the set value and the fuzzy rules and membership functions stored in the storage device (31). An operation is performed. Then, the operation amount of the fuel control valve (17) is calculated, and the valve control device (26) outputs an opening signal to the fuel control valve (17). Then, the opening degree of the fuel control valve (17) is controlled by the cold water outlet temperature, the heating amount of the high temperature generator (1) is changed, and the cold water outlet temperature is maintained at the set temperature.

Further, the feedback signal detection device (28) inputs the opening signal, which is an analog signal, from the fuel control valve (17), and
It is converted into a digital signal and output to the arithmetic unit (32).The arithmetic unit (32) calculates the rate of change in the opening degree of the fuel control valve (17) and outputs it to the fuzzy inference processor (30).Fuzzy inference processor (30) is a storage device (3
1) Fuzzy rules and members stored in
Perform fuzzy logic operations based on ship functions. here,
If the cold water outlet temperature is rising and the rate of change (aBk) in the opening degree of the fuel control valve' (17) is, for example, 3%/min, the fuzzy inference processor (30) executes the fuzzy rule shown in FIG. , a fuzzy inference processor (30) based on the membership function and rate of change (dBh) in FIG.
performs fuzzy logic operations as shown in FIG. Then, the membership value (Ml) (indicated by diagonal lines in FIG. 9) of the operation amount (dIn) of the absorption liquid pump (6) based on the rate of change (dBk) is determined.

In addition, the generator liquid level detection device (29) is a liquid level detector (33).
The liquid level of the absorption liquid is inputted from the input terminal, converted into a digital signal, and outputted to the arithmetic unit (32). The calculation device (32) calculates the deviation (eLg) of the liquid level from the optimum value and the rate of change (dLg).
and is output to the fuzzy inference processor (3o). The fuzzy inference processor (30) has a storage device (31).
) Fuzzy logic operations are performed based on the fuzzy rules shown in FIGS. 2 and 3 and the membership functions shown in FIGS. 5, 6, and 8.

Here, if the liquid level is, for example, 4 mm lower than the set value, that is, if the deviation (eLg) is -4 mm, the fuzzy inference processor (30) performs a fuzzy logic operation as shown by the dashed line in FIG. Then, the deviation of the antecedent part (eLg
) is -4 mm to the operation amount (dIn) of the absorption liquid pump (6)
) is determined. Membership value (M, > (shown with diagonal lines in Figure 10)
) is, for example, -3,5nn/llll1n, the 11th
As shown by the dashed line in the figure, the fuzzy inference processor (
30) performs a fuzzy logic operation. Then, since the rate of change (dLg) of the antecedent part is -3, 511ff/win, the Member-Schiff value (
M, ) (indicated by diagonal lines in FIG. 11) is obtained.

The fuzzy inference processor (30) is, for example, an MA
The membership values (M, >, (M, ), (M
, ) is calculated. The membership value of this logical sum is each membership value (M, ), (M, )
, (Ms) in Figure 12, which is the outline when superimposed
M4), and this membership value (M4
), i.e. from the center of gravity (G, ) to the absorption liquid pump (6)
Determine the amount of operation. Fuzzy inference processor (30)
outputs the manipulated variable to the inverter control device (27). The inverter control device t (27) outputs a signal of a frequency obtained by adding the above-mentioned manipulated variable to the frequency that has been outputted up to now to the inverter device (6m). The inverter device (6A) supplies power at the input frequency to the absorption liquid pump (6), and the rotational speed of the absorption liquid pump <6> increases. Then, the amount of absorption liquid discharged from the absorption liquid pump (6) increases.

Further, the rate of change (dBk) of the opening degree of the fuel control valve (17) is, for example, -4%/win, and the deviation (eLg) of the liquid level of the high temperature generator (1) from the optimum value is, for example, 7 ml. can be,
For example, if the rate of change (dLg) in the liquid level of the high temperature generator (1) is -
Even in the case of 2mn/win, the fuzzy rules shown in Figs. 2, 3, and 4 and the membership functions shown in Figs. 5, 6, 7, and 8 Logical operations are performed. Then, the rate of change (dBk
) is -4%/my-n, a fuzzy logical operation is performed as shown in FIG. 13, and the membership value (M6) of the operation amount of the absorption liquid pump (6) is determined. Further, from the deviation (aLg) of 71, a fuzzy logic operation is performed as shown in FIG. 14, and the membership value side of the operation amount of the absorption liquid pump (6) is determined. Furthermore, from a rate of change (dLg) of -2vn/min, a fuzzy logic operation is performed as shown in FIG. 15, and the membership value (M, ) of the operation amount of the absorption liquid pump (6) is determined. And each membership value (M, ), (M, )
, (M, ), the membership value of the logical sum is the first
It is M8 in Figure 6. Then, the operation amount of the absorption liquid pump (6) is determined from the average value of the membership values (M,), that is, the center of gravity (G,). This operation amount is transmitted from the fuzzy inference processor (30) to the inverter control device (27).
) is output to. The inverter control device (27) outputs a signal of a frequency obtained by subtracting the above operation amount from the previous frequency to the inverter device (6A). Therefore, the frequency of the power supplied from the inverter device (6A) to the absorption liquid pump (6) decreases, the amount of diluted absorption liquid discharged from the absorption liquid pump (6) decreases, and the amount of diluted absorption liquid is reduced to the high temperature generator (1>). The amount of dilute absorbent delivered is reduced.

According to the above embodiment, the rate of change (dBk) in the opening degree of the fuel control valve (17), the deviation (aLg) of the liquid level of the high temperature generator (1>) from the set value, and the rate of change in the liquid level (dLg) ), the operation amount of the absorption liquid pump (6) is controlled by fuzzy logic operations based on human experience, so the high temperature generator (1)
The amount of diluted absorption liquid discharged from the absorption liquid pump (17) changes depending on the amount of heating and sudden or gentle changes in the liquid level.
The liquid level in the high temperature generator (1) can be kept constant, and as a result, the heating efficiency of the absorption liquid in the high temperature generator (1) can be improved. Here, in an absorption refrigerator in which high-temperature, high-pressure steam is supplied to the high-temperature generator (1) from, for example, a gas engine-generated IE machine, the absorption liquid pump (17) is used as described above.
By controlling this using fuzzy logic operations based on human experience, it is possible to prevent a drop in the liquid level and a reduction in the heat transfer area, and as a result, it is possible to improve the efficiency of the high temperature generator.

Further, it is possible to prevent absorption liquid from being mixed into the refrigerant vapor due to an increase in the liquid level of the high temperature generator (1), and to prevent dry firing due to a decrease in the liquid level.

A second embodiment of the present invention will be described below. Note that in the second embodiment, configurations not specifically described are the same as those in the first embodiment, and detailed explanation thereof will be omitted. (34) is a cooling water inlet temperature detector installed in the cooling water pipe (22) on the inlet side of the absorber (22); (35)
is a temperature detector provided in the high temperature generator (1). and each temperature detector (34).

(35) outputs a temperature signal to the arithmetic unit (32). The calculation device (32) calculates the rate of change of the cooling water inlet temperature, for example, per minute (dIci), and the rate of change of the high temperature generator temperature, for example, per minute (dTg). The calculation device (32) calculates the rate of change (dBk) of the fuel control valve opening as in the first embodiment.
), the deviation (eLg) of the liquid level of the high temperature generator (1), and the rate of change (dLg) are calculated.

The control rule storage device (31) stores the fuzzy rules shown in FIGS. 2, 3, and 4 of the first embodiment, and the fuzzy rules shown in FIGS. 5, 6, 7, and 8. In addition to the membership functions shown in the figure, the fuzzy roots of the rate of change of the cooling water inlet temperature (dTci) shown in Figure 17 and the fuzzy roots of the rate of change of the high temperature generator temperature (dTg) shown in Figure 18 are used.
Rule, the rate of change of the cooling water inlet temperature shown in Figure 19 (d
The membership functions of Tci ) and the rate of change (dig) of the high temperature generator temperature shown in FIG. 20 are stored.

When the absorption refrigerator is in operation, the rate of change (dBk) in the opening degree of the fuel control valve (17) is 3% as in the first embodiment.
/min, the liquid level deviation (aLg) of the high temperature generator (1) is -4in, and the rate of change in liquid level (dLg) is -3.5mn/
In the case of min, as shown in FIGS. 9, 10, and 11, the fuzzy inference processor 7 (30) performs fuzzy logic operations to obtain each membership value. At this time, based on the temperature of the cooling water on the inlet side of the absorber (5) detected by the cooling water inlet temperature detector (22), the calculation device (3)
2) calculates the rate of change (dIci) of the cooling water inlet temperature. Here, if the temperature of the cooling water is gradually decreasing and the rate of change (dIci) is, for example, -1.7°C/min, the fuzzy inference processor (30) is Then, from the rate of change (dTci) of -1.7°C/min, the member si knob value (M9) of the operation amount (dIn) of the absorption liquid pump (6) is calculated (Fig. 21). At this time, if the rate of change (dTg) of the high temperature regenerator temperature is, for example, -0.8°C/min, the fuzzy inference processor (30) is calculated as shown in FIG. A fuzzy logic operation is performed as shown by the dashed line.Then, the rate of change of the antecedent (dT
g) from -0.8°C/min, the absorption liquid pump (6)
The member shift knob value (M6) of the manipulated variable (dIn) (
(indicated by diagonal lines in FIG. 22) is obtained.

Then, the fuzzy inference processor (30〉) has membership values (M, ), (Mt >, (M,
), (M,) and (M,.). The membership value of this disjunction is the membership value of each membership value (
M.).

(M, ), (M, ), (M, ) and (M,.

) in FIG. 23, which is the outline when superposed on each other, and the average value of the maximum membership value is determined. The operation amount of the absorption liquid pump (6) is determined from this average value (center of gravity) (G,). This manipulated variable is output to the inverter control device (27). The inverter control device (27) outputs a signal having a frequency obtained by adding the above operation amount to the previous frequency to the inverter device (6A). Therefore, the frequency of the electric power supplied to the absorption liquid pump (6) changes, and the discharge amount of the dilute absorption liquid from the absorption liquid pump (6) changes.

Thereafter, similarly, the rate of change (d) of the opening degree of the fuel control valve (17) is
Bh ), deviation in liquid level (aLg) and rate of change in liquid level (dLg) of high temperature generator (1), rate of change in cooling water inlet temperature (
dTci) and the rate of change of temperature of the high temperature generator (1) (dI
Based on g), a fuzzy logical operation is performed in the fuzzy inference processor (30), and the frequency of the power supplied to the absorption liquid pump (6) is changed. For this reason, the absorption liquid pump (
The discharge amount of the dilute absorption liquid in step 6) changes, and the amount of dilute absorption liquid sent to the high temperature generator (1) changes.

According to the above embodiment, the rate of change (dBk) of the opening degree of the fuel control valve (17), the deviation (eLg) of the liquid level of the high temperature generator (1)
), the rate of change of the liquid level (dLg), the rate of change of the cooling water inlet temperature (drci), and the rate of change of the temperature of the high temperature generator (1) (dIg), based on human experience, perform fuzzy logic operations, Since the operation amount of the absorption liquid pump (6) is controlled, the heating amount of the high temperature generator (1), the liquid level of the high temperature generator (1), the inlet temperature of the cooling water, or the temperature of the high temperature generator (1) is controlled. When the change occurs, a high temperature generator (1
) changes the amount of dilute absorption liquid sent to the high temperature generator (1).
As a result, the heating efficiency of the absorption liquid in the high temperature generator (1) can be improved.

In addition, in the first embodiment and the second embodiment, the rotation speed of the absorption liquid pump (6) is controlled based on fuzzy logic operations, and the liquid flows from the absorber (5) to the high temperature generator (1). Although the amount of absorption liquid was adjusted, for example, the intermediate absorption liquid piping (11
) is provided with a control valve, and the opening degree of this control valve is controlled based on fuzzy logic operation, and the high temperature generator (1) is connected to the absorber (5).
), the same effects as in each of the above embodiments can also be obtained by adjusting the amount of absorption liquid flowing into the above-mentioned embodiments.

(g) Effects of the Invention The present invention is a control device for an absorption refrigerator configured as described above, which detects a plurality of changes representing external conditions or internal conditions, and controls the absorption liquid pump by fuzzy logic operations. Since the rotation speed is controlled, when the liquid level in the generator or the amount of heating in the generator changes, the rotation speed of the absorption liquid pump can be controlled based on human experience, and when the load changes, etc. By optimally controlling the circulation amount, it is possible to improve the heating efficiency in the generator, and it is also possible to prevent the absorption liquid from being mixed into the refrigerant liquid due to a rise in the liquid level. It is possible to prevent dry firing due to a significant drop.

It also includes a detection device that detects information such as the temperature or liquid level of the generator, and a storage device that stores fuzzy rules and membership functions for determining the amount of operation of the absorption liquid pump based on the information obtained by the detection device. , an arithmetic device that calculates the operation amount of the absorption liquid pump by fuzzy logic operations based on the information obtained by the detection device and the fuzzy rules and membership functions of the storage device; It is equipped with an absorption liquid pump control device that increases or decreases the frequency of the electric power supplied to the liquid pump, so when the liquid level in the generator changes, the calculation device performs fuzzy logical operations to The frequency of the electric power supplied to the absorption liquid pump is increased or decreased by the liquid pump control device, and the circulation amount of the absorption liquid is controlled based on human experience, making it possible to improve the responsiveness to the above changes, and as a result, The liquid level of the absorption liquid in the generator can be kept almost constant, and as a result, the heating efficiency in the generator can be improved, and the mixing of the absorption liquid into the refrigerant liquid can be avoided, making it possible to improve the absorption chiller. The operation of the vehicle can be stabilized.

In addition, the level of the absorption liquid in the generator, the amount of heating in the generator, or the fuzzy relationship between the temperature of the generator and the operation amount of the absorption liquid pump
A storage device that stores the rules and membership functions, and fuzzy logic operations based on the level of the absorption liquid in the generator, the amount of heating in the generator, or the temperature of the generator, the fuzzy conflict rules, and the membership functions. The generator is equipped with a calculation device that calculates the operation amount of the absorption liquid pump, and an absorption liquid pump control device that inputs the output of this calculation device and controls the frequency of the electric power supplied to the absorption liquid pump. When the liquid level of the absorption liquid, the heating amount of the generator, or the temperature of the generator changes, the frequency of the power supplied to the absorption liquid pump is controlled based on human experience by fuzzy logic operations, As a result, the level of the absorbent can be kept almost constant regardless of the level of the absorbent in the generator, the amount of heating in the generator, or the degree of change in the temperature of the generator. This makes it possible to maintain stable operation of the absorption chiller.

Furthermore, the rate of change of the liquid level of the absorption liquid in the generator, the deviation of the liquid level,
A fuzzy logic operation is performed based on the rate of change in the amount of heating of the generator, the rate of change in the generator temperature, the rate of change in the inlet temperature of the cooling water, fuzzy rules and membership functions, and the absorption liquid is supplied to the pump. By controlling the frequency of the electric power, when the liquid level etc. of the generator changes, the circulation amount of the absorption liquid can be changed based on human experience, and as a result, the rate of change of the liquid level of the generator, Regardless of the deviation in liquid level, the rate of change in heating amount, the rate of change in temperature, and the rate of change in cooling water inlet temperature, the generator liquid level can be kept almost constant, and the absorption chiller can operate smoothly. can be stabilized.

[Brief explanation of the drawing]

The drawing is a circuit diagram of an absorption refrigerator showing an embodiment of the present invention, and FIG. 2 shows the deviation (eLg) of the absorption liquid level from the optimum value.
Figure 3 is a diagram showing the fuzzy rule between and the manipulated variable (dIn).
Figure 4 shows the fuzzy rule between the fuel control valve opening degree change rate (dBk) and the manipulated variable (dIn).
), Figure 5 shows the fuzzy rules between the deviation (
Figure 6 is a diagram that defines the membership function of fuzzy variables for rate of change (dLg), Figure 7 is a diagram that defines the membership function of fuzzy variables for rate of change (dBk). member·
Figure 8 is a diagram that defines the membership function of fuzzy variables for the manipulated variable (absorbent pump frequency) (dIn), and Figure 9 is a diagram that defines the rate of change (dB).
Fig. 10 is an explanatory diagram of the fuzzy logic operation when the deviation (eLg) is -4m, and Fig. 11 is an illustration of the fuzzy logic operation when the deviation (eLg) is -4m.
Fig. 12 is an explanatory diagram of fuzzy logic operation when the rate of change (dBk) is 3%/min, the deviation (eLg) is -4=, and the rate of change (dLg) is -3,5m.
! Figure 13 is an explanatory diagram of calculating the operation amount of the absorbent pump using the MAX center of gravity calculation method when l / win. Figure 13 is an explanatory diagram of the fuzzy logic operation when the rate of change (dBk) is -4%/min. Figure 14 is an explanatory diagram of the fuzzy logic operation when the deviation (eLg) is 71, and Figure 15 is the rate of change (dLg).
Fig. 16 is an explanatory diagram of fuzzy logic operation when is -2aI/min, the rate of change (dBk) is -4%/min, the deviation (eLg) is 7mn, and the rate of change (dLg) is -2mm.
Figure 17 is an explanatory diagram for determining the operation amount of the absorption liquid pump when
) and the manipulated variable, 18th diagram showing the fuzzy rule between
The figure shows the fuzzy rule between the rate of change (dTg) of the cooling water inlet temperature and the manipulated variable.
Figure 20 is a diagram that defines the membership function of fuzzy variables for rate of change (dTg), Figure 21 is a diagram that defines the membership function of fuzzy variables for rate of change (dTg).
The figure is an explanatory diagram of the fuzzy logic operation when the rate of change (dTci) is -1.7°C/min, and Figure 22 is an illustration of the fuzzy logic operation when the rate of change (dTci) is
Fig. 23 is an explanatory diagram of fuzzy logic operation when g) is -0.8℃/miH, and the rate of change (dBk) is 3%/min.
, deviation (eLg) is -41m1, rate of change (dLg) is -
3.5 strokes/min, rate of change (dTci) -1.7°
C/min, rate of change (dIg) is 0.8°C/m1n (
7) is an explanatory diagram when calculating the operation amount of the absorption liquid pump. (1)...High temperature generator, (2)...Low temperature generator,
(3)... Condenser, (4)... Evaporator, (5
)...Absorber, (6>...Absorption liquid pump, (17)
〉...Fuel control valve (heating amount control valve), (30)...
・Fuzzy inference processor (arithmetic device), (31)・
...Storage device, (33) ...Liquid level detector, (34
)... Cooling water inlet temperature detector, (27)... Inverter control device, (35)... High temperature generator temperature detector.

Claims (1)

[Claims] 1. A refrigeration cycle is formed by connecting an evaporator, an absorber, a generator, an absorption liquid pump, a condenser, etc., and the heating amount of the generator is determined based on external or internal conditions. A control device for an absorption refrigerating machine that controls an absorption refrigerating machine includes a detection device that detects a plurality of amounts of change representing external conditions or internal conditions, and a fuzzy rule and member between the amount of change and the rotation speed of an absorption liquid pump.・A storage device that stores the ship function, a calculation device that performs fuzzy logic operations based on the above-mentioned change amount, fuzzy rules, and membership functions to calculate the rotation speed of the absorption liquid pump, and an output of this calculation device. 1. A control device for an absorption refrigerating machine, comprising: a control device that inputs input to control the rotation speed of an absorption liquid pump. 2. An absorption refrigerator that connects an evaporator, absorber, absorption liquid pump, generator, condenser, etc. to form a refrigeration cycle, and controls the heating amount of the generator based on external or internal conditions. In the control device, a detection device that detects information representing external conditions or internal conditions, and a storage device that stores fuzzy rules and membership functions for calculating the operation amount of the absorption liquid pump with respect to the information, A calculation device that calculates the operation amount of the absorption liquid pump by performing fuzzy logic operations based on the information detected by the detection device and the fuzzy rules and membership functions of the storage device, and inputs the output of this calculation device. 1. A control device for an absorption refrigerating machine, comprising: a control device for an absorption liquid pump that increases/decreases the frequency of electric power supplied to the absorption liquid pump. 3. An absorption refrigerator that connects an evaporator, absorber, absorption liquid pump, generator, condenser, etc. to form a refrigeration cycle, and controls the heating amount of the generator based on external or internal conditions. In the control device, a fuzzy rule is established between the level of the absorption liquid in the generator, the amount of heating in the generator, and the amount of circulation of the absorption liquid, and the liquid level of the absorption liquid in the generator, the amount of heating in the generator, and the absorption liquid. a storage device for storing membership functions between the circulation amount of the generator, the liquid level of the absorption liquid in the generator, the heating amount of the generator, and a fuzzy logic operation based on the above fuzzy rule and the above membership function. and an absorption liquid pump control device that inputs the output of this calculation device and increases or decreases the frequency of the electric power supplied to the absorption liquid pump. Features of absorption chiller control device. 4. An absorption refrigerator that connects an evaporator, absorber, absorption liquid pump, generator, condenser, etc. to form a refrigeration cycle, and controls the heating amount of the generator based on internal or external conditions. In the control device, the liquid level of the absorption liquid in the generator, the heating amount of the generator, the fuzzy rule between the temperature of the generator and the circulation amount of the absorption liquid, the liquid level of the absorption liquid in the generator, the amount of heating of the generator, a storage device for storing a membership function between the amount of heating and the temperature of the generator and the circulating amount of the absorption liquid; the liquid level of the absorption liquid in the generator; the amount of heating of the generator; and the temperature of the generator; An arithmetic device that performs fuzzy logic operations based on fuzzy rules and the above membership function to calculate the operation amount of the absorption liquid pump, and an input of the output of this arithmetic device to calculate the frequency of the power supplied to the absorption liquid pump. 1. A control device for an absorption refrigerating machine, comprising: a control device for an absorption liquid pump that increases and decreases the amount of water. 5. An absorption refrigerator that connects an evaporator, absorber, absorption liquid pump, generator, condenser, etc. to form a refrigeration cycle, and controls the heating amount of the generator based on internal or external conditions. In the control device, the deviation of the level of the absorption liquid in the generator from the set value, the rate of change in the level of the absorption liquid, the rate of change in the amount of heating of the generator, the rate of change in the temperature of the generator, and the rate of change in the cooling water are controlled. a storage device for storing fuzzy rules and membership functions between the rate of change of the inlet temperature and the circulation amount of the absorption liquid;
Deviation of the liquid level of the absorption liquid in the generator from the set value, the rate of change in the liquid level of the above-mentioned absorption liquid, the rate of change in the heating amount of the generator, the rate of change in the temperature of the generator, and the rate of change in the inlet temperature of the cooling water. An arithmetic device that performs fuzzy logic operations based on fuzzy rules and membership functions to calculate the operation amount of the absorption liquid pump; 1. A control device for an absorption refrigerating machine, comprising: a control device for an absorption liquid pump that increases and decreases the amount of liquid.