JPH0510567A - Air conditioning controller - Google Patents

Abstract

PURPOSE:To control air conditioning capacity properly so that the temperature in a room approaches to a set temperature quickly and is maintained at the set temperature stably. CONSTITUTION:A difference between a room temperature, measured by a room temperature sensor 2, and a set temperature is operated by a room temperature change operating circuit 10 while an air conditioning load is operated by a neural network 6 based on the timer change of the room temperature, an atmospheric temperature, measured by an atmospheric temperature sensor 5, and the room temperature, measured by the room temperature sensor 2. A motor 9 for a compressor is controlled through a frequency changeable circuit 8 so that the frequency of the compressor is controlled based on the air conditioning load whereby the indoor temperature is approached to the set temperature quickly and the indoor temperature is maintained stably and constantly at the set temperature.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an air-conditioning control device for quickly and stably controlling an indoor temperature to a desired set temperature.

[0002]

2. Description of the Related Art The capacity control range of an air conditioner is widely controlled by the frequency control of the compressor, and its variable range is becoming wider year by year. Conventional frequency control is based on the difference between room temperature and set temperature. Is done uniquely. In particular,
As shown in FIG. 5, in the case of a light load such as a room facing south in sunny weather, warm weather outside in early spring, or a small room with good heat insulation, air conditioning load is reduced by the conventional unique control. In the case of a heavy load such as a room facing north with poor sunlight, cold outside such as midwinter, or a large room with poor insulation compared to the change in In the conventional unique control, the change width of the air conditioning capacity of the air conditioner is small compared to the change of the air conditioning load, it does not reach the set temperature easily, it changes gradually at the set temperature and it becomes difficult to keep it constant. ing.

Further, since only a limited amount of information can be transmitted in signal transmission between the indoor unit and the outdoor unit, it is necessary to control the frequency of the compressor of the outdoor unit with a small amount of information from the indoor unit. The control uniquely determined by the difference between the set temperature and the room temperature may not be able to handle when the air conditioning load is large or small.

[0004]

As described above, when the air conditioning load varies depending on the season, the state of the room, etc., it becomes difficult to match the change in the air conditioning load with the capacity control, and the room temperature is unstable and hunting occurs. There is a problem that the startup is delayed.

The present invention has been made in view of the above,
It is an object of the invention to provide an air conditioning control device for appropriately controlling the air conditioning capacity so that the indoor temperature quickly approaches the set temperature and is stably maintained.

[0006]

In order to achieve the above object, an air conditioning control device of the present invention determines an air conditioning load based on a difference between an indoor temperature and a desired set temperature, a time change of the temperature difference, and an outside air temperature. Based on the load calculating means for calculating and the air conditioning load calculated by the load calculating means, the indoor temperature quickly approaches the set temperature and compressed to control the air conditioning capacity so as to be stably and constantly maintained at the set temperature. The gist is to have a control means for controlling the frequency of the machine.

[0007]

In the air conditioning control device of the present invention, the air conditioning load is calculated based on the difference between the room temperature and the set temperature, its time change, and the outside air temperature, and the frequency of the compressor is controlled based on this air conditioning load to control the indoor temperature. Quickly approaches the set temperature and is stably maintained at the set temperature.

[0008]

Embodiments of the present invention will be described below with reference to the drawings.

FIG. 1 is a block diagram of an air conditioning controller according to an embodiment of the present invention. The air-conditioning control device shown in the figure is operated by a user, and the operation / operation unit 1 such as a remote controller and the air-conditioner are set to instruct the operation / stop of the air-conditioner, set the desired room temperature, and set the air volume. A room temperature sensor 2 for measuring the temperature of a room to be operated, a heat exchange sensor 3 for measuring the temperature of an indoor heat exchanger, for example, which is used for cold air prevention control at the time of heating, a fan motor 4 for sending out air, an outdoor An ambient temperature sensor 5 for measuring the temperature is provided, and the room temperature measured by the room temperature sensor 2 is supplied to a room temperature change calculation circuit 10,
The change in room temperature is calculated, and the calculated change in room temperature is supplied to the neural network 6.

Further, the neural network 6 includes
In addition to the room temperature change from the room temperature change calculation circuit 10, the room temperature from the room temperature sensor 2 and the outside air temperature from the outside air temperature sensor 5 are supplied.

As shown in detail in FIG. 2, the neural network 6 is composed of an input layer 6a, an intermediate layer 6b and an output layer 6c, and the input layer 6a includes the room temperature sensor 2 described above.
Room temperature, the room temperature change from the room temperature change calculation circuit 10, and the outside air temperature from the outside air temperature sensor 5 are supplied, and the output pattern showing the relationship between the difference between the room temperature and the set temperature and the capacity of the air conditioner is light load, light load. Output patterns of medium load, medium load, medium heavy load, and heavy load are output from the output layer 6c. For example, during heating, if the room temperature does not rise easily even if the compressor is operated at a high frequency, it can be said that the air conditioning load is large, and if the outside temperature is low and the room temperature is high, the air conditioning load is also large. I can say. Conversely, if the room temperature seems to rise immediately even if the frequency is increased a little, it can be said that the air conditioning load is small. Such a relationship that the outside air temperature is high and the room temperature is low has a small air conditioning load is incorporated in the neural network 6. That is, the relationship between the input and the output is weighted. The neural network 6 shown in FIG. 2 has three input layers 6a, four intermediate layers 6b, and five output layers 6c, but the present invention is not limited to this.

The operation pattern (output pattern) of the compressor is selected according to the output of the neural network 6, that is, the degree of the air conditioning load. This operation pattern is shown in FIG. Figure 3 shows the difference between room temperature and set temperature on the horizontal axis,
The air-conditioning capacity, that is, the operating frequency of the compressor is shown on the vertical axis. In the same figure, five types of light load, light medium load, medium load, medium heavy load, and heavy load corresponding to the output of the neural network 6 are shown. Although the driving patterns are shown, the number of types of patterns is not limited to five and may be more.

As can be seen from FIG. 3, for heavy loads, there is little change in the frequency in the high frequency range, and the frequency changes little even with a slight load change, so that constant control is possible. Further, in the case of a low load, similarly, the frequency changes only a little with a slight load change, so that constant control is possible. Further, since the frequency change width is large with respect to a sudden load change such as opening and closing of the door of the room (right side portion of FIG. 3), it is possible to immediately return to the target temperature.

Such frequency allocation is shown in the table of FIG. In the table of the figure, the lowest frequency is 10 Hz and the highest frequency is 190 Hz. The figure also shows the case of even allocation.

Returning to FIG. 1, the output of the neural network 6 described above is supplied to the control unit 7, and the frequency of the compressor motor 9 is controlled from the control unit 7 via the frequency variable circuit 8. . As a result, the air-conditioning capacity according to the load such as the light load or the heavy load, that is, the frequency of the compressor is determined by the difference between the desired set temperature set by the driving operation unit 1 and the room temperature detected by the room temperature sensor 2. Then, the frequency variable circuit 8 gives a predetermined frequency to the compressor motor 9. By such control, the frequency is finely changed in the vicinity of the air conditioning load, and is coarsely changed in other cases. The frequency is finely controlled in several types of high, medium, and low frequency ranges in order to cope with various air conditioning loads of various sizes, thereby speeding the rise and controlling the frequency to be kept constant.

Further, the output pattern is selected by learning with the neural network 6, and a new output pattern is selected based on the information up to the previous time, that is, the condition of the air conditioning load, the state of change, etc. are learned and the compressor is selected. Can always be controlled optimally.

The air conditioning control device shown in FIG.
Sensors such as a discharge temperature sensor, a current sensor for measuring the current to the compressor motor 9, a refrigerant flow rate control for controlling the refrigerant flow rate, a four-way valve that switches between cooling and heating, a fan motor for an outdoor unit, etc. However, illustration and description are omitted to simplify the drawing.

As described above, the air conditioning load of the target room is always selected, and the optimum operation pattern is always selected. Specifically, at the factory shipment stage, an operation pattern (frequency allocation) for medium load is input as an initial value. Then, an operation pattern is selected each time the vehicle is driven, and the operation pattern is changed to a heavy load or a light load.

[0019]

As described above, according to the present invention,
Calculate the air conditioning load based on the difference between the room temperature and the set temperature, its change over time and the outside air temperature, and control the frequency of the compressor based on this air conditioning load so that the indoor temperature quickly approaches the set temperature. Since the air conditioning load is changed stably depending on the season and the state of the room as in the past, it is difficult to match the changes in the air conditioning load with the capacity control, and the room temperature is stabilized. Without hunting,
The rise is not delayed, and the room temperature can always be appropriately controlled to the desired set temperature.

[Brief description of drawings]

FIG. 1 is a configuration diagram of an air conditioning control device according to an embodiment of the present invention.

FIG. 2 is a configuration diagram of a neural network used in the air conditioning control device of FIG.

FIG. 3 is a diagram showing a relationship between an air conditioning capacity consisting of a difference between room temperature and a set temperature on the horizontal axis and an operating frequency of the compressor on the vertical axis, which is an example of an input / output pattern of the neural network shown in FIG. 2; is there.

FIG. 4 is a table showing allocation of frequencies for each output pattern shown in FIG.

FIG. 5 is a diagram showing a state of room temperature control by conventional control.

[Explanation of symbols]

1 Driving control section 2 Room temperature sensor 5 Outside temperature sensor 6 Neural network 7 control unit 8 frequency variable circuit 9 Compressor motor 10 Room temperature change calculation circuit

Claims (2)

[Claims] 1. A load calculating means for calculating an air conditioning load based on a difference between an indoor temperature and a desired set temperature, a time change of the temperature difference and an outside air temperature, and an air conditioning load calculated by the load calculating means. An air conditioning controller comprising: a control means for controlling the frequency of the compressor so as to control the air conditioning capacity so that the indoor temperature quickly approaches the set temperature and is stably maintained constant at the set temperature. . 2. The air conditioning control device according to claim 1, wherein the control unit has a learning unit that learns a condition and a state of change of an air conditioning load and optimally controls the compressor.