JPH06147610A - Control for air conditioner - Google Patents

Abstract

PURPOSE:To obtain comfortable room conditions by a method wherein in a fuzzy control for an air conditioner, the control is changed over to a membership function suitable for room conditions (size and structure of a living space) and seasons (four seasons). CONSTITUTION:In the title control for air conditioner, a temperature difference between a room temperature and a set temperature is designated as input 1 and a change in the course of time of the room temperature is as input 2, and based on these inputs 1 and 2, a fuzzy operation is made using preset control rules and membership functions to obtain an increasing or decreasing value of a rotations code of a compressor, so that a compressor is driven according to a rotation number code added with the increasing or decreasing value. The control includes a controller 6 comprising a membership function part 4 which has a conclusion part membership function to vary variables, and a neutral network which drives an air conditioner at prescribed rotations for a prescribed time period, and after a start of operation, inputs a change amount (DELTAt) of the room temperature within the prescribed time period, a difference of temperature (t) between the room temperature at the time of start and a set value, and an outdoor temperature (T) and corrects variables of outputs (increasing and decreasing values of the compressor rotations code).

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a method of controlling an air conditioner in an inverter type air conditioner, in which a variable capacity compressor is fuzzy controlled to perform indoor control.

[0002]

2. Description of the Related Art In recent years, in this type of air conditioner control method, as shown in FIG. 3, in order to perform fuzzy control of the room temperature (room temperature), for example, the control rules shown in Table 1 below and A control device 3 having a membership function unit 1 having the membership function shown in FIGS. 4 to 6, and controlling the rotation speed of the compressor 2 in accordance with the control rule and the fuzzy calculation result using the membership function. Prepare,
Input 1 is the temperature difference (t) between the room temperature and the set temperature, and input 2 is the temporal change amount (Δt) of the room temperature. Input 1 and input 2 are control rules with reference to a preset membership function. Calculate the degree to satisfy (perform fuzzy operation).

[0003]

[Table 1]

In Table 1 and FIGS. 4 to 6, NL is large in the negative direction, NM is medium in the negative direction, and N is N.
S is small in the negative direction, ZR is zero (no change), PS is small in the square direction, PM is medium in the positive direction, and PL is large in the positive direction.

The above fuzzy control rules (Table 1 and FIGS. 4 to 6) are modeled on a standard indoor environment, and are abrupt in the room due to room temperature stability, disturbance (opening and closing of doors and windows), etc. It has been determined to exhibit intermediate properties for both responsiveness to changes.

[0006]

However, in the above-mentioned air conditioner control method, the fuzzy control law is determined by using a standard indoor environment as a model, and various living spaces (rooms) of users of the air conditioner are determined. Depending on the area, structure, etc.) and season (four seasons), optimal room temperature control may not be performed.

The present invention has been made in view of the above problems, and an object thereof is to provide an air conditioner control method capable of performing optimum room temperature control regardless of various indoor spaces and seasons. It is in.

[0008]

In order to achieve the above-mentioned object, the present invention sets the temperature difference between the detection chamber temperature and the set temperature as input 1, and sets the time change amount of the room temperature as input 2, and makes these inputs 1 And a fuzzy operation using a preset control rule and membership function based on the input 2 to obtain an increase / decrease value of the compressor rotation speed code based on the fuzzy operation result, and perform compression based on the obtained increase / decrease value. In an air conditioner control method for controlling an air conditioner, the air conditioner is operated for a predetermined time at a predetermined rotation speed, and a temperature difference (t) between a room temperature and a set temperature at the start of operation, an outside air temperature (T), and The neural network has a neural network which inputs the variation (Δt) of the room temperature within a predetermined time after the start of the operation and outputs the variable of the membership function of the increase / decrease value of the compressor rotation speed code. , And summarized in that you switch the membership function of the rotational speed code the compressor in accordance with the outside air temperature (T) and a predetermined time at room temperature variation (Delta] t).

[0009]

With the above method, the air conditioner can change the variables of the conclusion function membership function (increase / decrease value of the compressor speed code) adapted to the indoor environment and the season by the neural network, that is, the neural network. The membership function is automatically switched according to the indoor environment and season.

A fuzzy operation is executed by the membership function including the switched membership function and the control rule to calculate the increase / decrease value of the compressor rotation speed code, and the compressor is based on the calculated increase / decrease value of the code. Rotation is controlled.

Therefore, the operation of the air conditioner becomes appropriate for the indoor environment and the season, the indoor environment can be improved, and wasteful operation is eliminated, resulting in energy saving operation.

[0012]

EXAMPLE When the operation is started as an example, the control method of the air conditioner according to the present invention has an input 1 (a temperature difference between a room temperature and a set temperature; t) and an input 2 (a temporal change amount of the room temperature; Δ
Based on t), fuzzy calculation is performed to obtain the output compressor rotational speed code increase / decrease value, and the compressor is controlled based on the rotational speed code in consideration of the obtained increase / decrease value. The number of changes in room temperature during this period (Δ
t), the temperature difference (t) between the room temperature at the start of operation and the set temperature and the outside air temperature (T) were input to obtain a conclusion part membership function adapted to the indoor environment and season, and this was obtained. Perform fuzzy operations using membership functions.

Therefore, as shown in FIG. 1, in the air conditioner to which the control method of the present invention is applied, in addition to the control rules shown in Table 1 and the membership functions shown in FIGS. Membership function unit 4 having a variable membership function that is variable, the amount of room temperature change (Δt) within a predetermined time after the start of operation of the air conditioner, and the temperature difference between the room temperature and the set temperature at the start of operation. (T) and outside temperature (T)
And a neural network 5 that corrects the variable of the membership function of the output (increase / decrease value of the compressor rotation speed code). In the figure, the same parts as those in FIG. 3 are designated by the same reference numerals, and duplicate description will be omitted.
In FIG. 2, NL is larger in the negative side, NM is medium in the negative side, NS is smaller in the negative side, ZR is zero (no change), PS is smaller in the square direction, and PM is in the positive side. Very moderate, and PL greatly changes to the positive side.

The control device 6 receives the temperature difference between the room temperature (room temperature) and the set temperature as an input 1, and inputs the time change amount of the room temperature as an input 2 to perform a fuzzy operation, and the fuzzy operation causes the compressor rotation speed code to be calculated. After the increase / decrease value is obtained and after a lapse of a predetermined time from the start of operation, the conclusion part membership function is automatically switched according to the correction value obtained by the neural network 5, and the switched membership function and membership function (FIG. 4 and FIG. 5) is used to perform a fuzzy operation to obtain an increase / decrease value of the compressor rotation speed code, and the rotation of the compressor 2 is controlled based on the increase / decrease value of the compressor rotation speed code thus obtained.

The membership function for obtaining the increase / decrease value of the compressor rotational speed code has the pattern shown in FIG. 2, and the variable x1 in the negative direction and the variable x2 in the positive direction of this pattern.
Is determined by the outside air temperature (T) with reference to the table data in Tables 2, 3 and 4 below. In addition, Table 2 below
The values of the variables x1 and x2 shown in Table 4 are hexadecimal numbers.

[0016]

[Table 2]

[0017]

[Table 3]

[0018]

[Table 4] Next, the control method applied to the air conditioner having the above configuration will be described in detail. First, for a predetermined time (for example, 1 minute) from the start of operation of the air conditioner, the control device 6 shown in FIGS. Fuzzy operation is executed in accordance with the membership function of Table 1 and the control rule of Table 1, and the compressor 2 is predetermined according to the rotation speed code (for example, 7 codes) in which the increase / decrease value of the compressor rotation speed code obtained by this calculation result is added. It is operated at the number of revolutions.

Further, at the start of the operation, the temperature difference (t) between the room temperature and the set temperature is calculated, and the outside air temperature (T) is detected by using a predetermined temperature sensor, while the change of the room temperature within a predetermined time after the start of the operation. The amount (Δt) is calculated, and the calculated change (Δt) in room temperature and temperature difference (t) and the detected outside air temperature (T) are input to the neural network 5.

Then, after the elapse of the predetermined time, the neural network 5 outputs an output adapted to the indoor environment and season according to the calculated room temperature change (Δt) and temperature difference (t) and the detected outside air temperature (T). A membership function of (compressor rotation speed code increase / decrease value) is obtained. For example, when the outside air temperature (T) exceeds 20 ° C, Table 2
Is selected, and when the outside air temperature (T) exceeds 10 ° C. and is 20 ° C. or less, Table 3 is selected, and when the outside air temperature (T) is 10 ° C. or less, Table 4 is selected.

With reference to this selected table, the negative direction variable x1 and the positive direction variable x2 of the output membership function (FIG. 2) are obtained based on the calculated room temperature change (Δt) and temperature difference (t). The membership function based on the obtained variables x1 and x2 is used as the membership function of the increase / decrease value of the output compressor rotation speed code.

As is clear from Tables 2 to 4, as the detected outside air temperature (T) is low, the change amount (Δt) of room temperature is negatively large, and the temperature difference (t) is positively large, the compressor is increased. The membership function of the increase / decrease value of the rotation speed code increases in the negative and positive directions. Further, as the detected outside air temperature (T) is higher, the amount of change in room temperature (Δt) is positively larger, and the temperature difference (t) is larger negatively, the membership function of the increase / decrease value of the compressor rotation speed code becomes negative and It is getting smaller in the positive direction.

For example, during heating operation, the outside air temperature (T) is as low as 10 ° C. or lower, the amount of change in room temperature (Δt) is −1 ° C. or less, which is negatively large, and the temperature difference (t) exceeds 3 ° C. If
With reference to Table 4, x1 of the membership function shown in FIG. 2 is set to -D, and its x2 is set to + D. As described above, the table data in Tables 2 to 4 are created in consideration of the indoor environment (size of living space, structure) and season.

Then, in the control device 6, as shown in FIG.
And a membership function shown in FIG. 5 and a conclusion part membership function (compressor rotation speed code increase / decrease value) obtained by the neural network 5 instead of the membership function shown in FIG. Is executed.
Since the compressor 2 is rotationally controlled based on the increase / decrease value of the compressor rotation speed code based on the result of this fuzzy calculation, the operation of the air conditioner is adapted to the indoor environment and season, and optimal room temperature control is performed. In addition, no useless driving is performed, that is, energy-saving driving.

In the above embodiment, the conclusion part membership function (increase / decrease value of the compressor rotation speed code) is switched according to the table data shown in Tables 2 to 4, but more table data is prepared. In this case, the operation of the air conditioner can be made more suitable for the indoor environment and the four seasons, the room temperature control can be more finely controlled, and the comfort can be further improved. It should be noted that although this embodiment is for the start of operation, the present invention is not limited to this, and it goes without saying that it may be performed at any time after the start of operation.

[0026]

As described above, according to the control method of the air conditioner of the present invention, based on the input 1 (the temperature difference between the room temperature and the set temperature) and the input 2 (the temporal change amount of the room temperature). A fuzzy operation is performed to obtain the compressor rotation speed code increase / decrease value of the output, and the compressor is controlled based on the rotation speed code in consideration of the obtained increase / decrease value, but the operation is performed at a predetermined rotation speed for a predetermined time,
The conclusion function membership function is obtained by a neural network using the change amount (Δt) of the room temperature during this period, the temperature difference (t) between the room temperature and the set temperature at the start of operation, and the outside air temperature (T) as input. Since the fuzzy operation is executed using the function, the indoor environment (large room,
(Structure) and season (four seasons), the compressor rotation speed code can be increased or decreased to control the rotation speed of the compressor. Since it will not be operated, it will be an energy-saving operation.

[Brief description of drawings]

FIG. 1 is a schematic partial block diagram of an air conditioner to which an air conditioner control method according to an embodiment of the present invention is applied.

FIG. 2 is a schematic diagram of a membership function used in the control method of the air conditioner shown in FIG.

FIG. 3 is a schematic partial block diagram of an air conditioner to which a conventional air conditioner control method is applied.

FIG. 4 is a schematic diagram of a membership function used in a conventional air conditioner control method.

FIG. 5 is a schematic diagram of a membership function used in a conventional air conditioner control method.

FIG. 6 is a schematic diagram of a membership function used in a conventional air conditioner control method.

[Explanation of symbols]

2 compressor 4 membership function unit 5 neural network 6 controller

Claims (2)

[Claims] 1. A temperature difference between a detection room temperature and a set temperature is set as an input 1, a temporal change amount of a room temperature is set as an input 2, and a control rule and membership preset based on the input 1 and the input 2 are set. Fuzzy operation using a function,
An increase / decrease value of a compressor rotation speed code is obtained from the fuzzy operation result, and in the air conditioner control method of controlling the compressor based on the obtained increase / decrease value, the air conditioner is operated at a predetermined rotation speed for a predetermined time. Input the difference (t) between the room temperature at the time of starting this operation and the set temperature, the outside air temperature (T) and the change amount (Δt) of the room temperature within a predetermined time after the start of the operation,
It has a neural network that outputs the variable of the membership function of the increase / decrease value of the compressor rotation speed code,
In the air conditioner, the membership function of the compressor rotation speed code is switched according to the temperature difference (t), the outside air temperature (T), and the change amount (Δt) of the room temperature for a predetermined time. Control method. 2. The variables of the membership function of the increase / decrease value of the compressor rotation speed code are such that the outside air temperature (T) is low, the amount of change in room temperature (Δt) is large, and the temperature difference (t) is positive. , The outside air temperature (T) is high, and the change in room temperature (Δt) is positively large.
The control method for an air conditioner according to claim 1, wherein the temperature difference (t) is decreased in the negative and positive directions as the temperature difference (t) increases in the negative direction.