Multi-dimensional dynamic fuzzy control method and variable frequency air conditioning equipment

Abstract

The invention relates to an air conditioner control technology, discloses a multi-dimensional dynamic fuzzy control method and variable frequency air conditioner equipment, and solves the problems of insufficient temperature control precision, large temperature fluctuation, easiness in overshoot, influence on comfort of a user and easiness in causing energy waste in an existing variable frequency air conditioner frequency control scheme. According to the method, when the variable frequency air conditioner enters a fuzzy adjustment link, multi-dimensional variable fuzzy control is carried out according to a set composite fuzzy control table; the composite fuzzy control table comprises a mother area and sub-areas contained in the mother area; the temperature difference precision and the temperature change rate precision of the mother area are limited within + / -3 DEG C; setting an area in which the temperature difference precision is greater than 3 DEG C and the temperature change rate precision is greater than 0.5 DEG C as a general regulation area; the number of the general regulation areas is four. And the range of the sub-region is limited in the region, except for the four general regulation regions, in the mother region. Wherein the sub-regions can be subjected to three-order fuzzy control adjustment, and the temperature change rate precision of the three stages is smaller and smaller, and the adjustment amplitude is smaller and smaller.

Description

Technical Field

[0001] The invention relates to air conditioning control technology, and in particular to a multi-dimensional dynamic fuzzy control method and variable frequency air conditioning equipment. Background Art

[0002] During operation, the variable frequency air conditioner can automatically adjust the operating frequency according to the changes in the cooling and heating loads during the operation process to meet the capacity output adjustment of the variable frequency air conditioner under variable working conditions. At present, the frequency control scheme of the variable frequency air conditioner in the industry is based on the control method of frequency fuzzy algorithm, which is to control the frequency increase and decrease amplitude according to the absolute value of the cooling and heating loads and the temperature change rate of the cooling and heating rooms in a fixed control cycle. This method based on frequency fuzzy algorithm can well adapt to the room load size and load change trend.

[0003] The resolution of temperature sensors commonly used in the existing air-conditioning industry is ±1℃ or ±0.5℃, and the compressor frequency is adjusted at a frequency change rate of 1Hz. Therefore, the defects of the existing variable frequency air-conditioning frequency control scheme are: the temperature control accuracy cannot be further improved, which is not conducive to the temperature control of the air-conditioning under extremely low load at night, and it is easy to cause overshoot, waking the user up from cold or heat. Moreover, when the indoor temperature is close to the target temperature within 0.5℃, the sensor is not sensitive to temperature changes, resulting in the compressor being unable to reduce the frequency in time, causing temperature overshoot and large temperature fluctuations, which in turn leads to poor user comfort and easy energy waste. Summary of the invention

[0004] The technical problem to be solved by the present invention is to propose a multi-dimensional dynamic fuzzy control method and variable frequency air conditioning equipment to solve the problems of insufficient temperature control accuracy, large temperature fluctuations, easy overshoot, affecting user comfort and easily causing energy waste in the existing variable frequency air conditioning frequency control scheme.

[0005] The technical solution adopted by the present invention to solve the above technical problems is:

[0006] In one aspect, the present invention provides a multi-dimensional dynamic fuzzy control method, which is applied to a variable frequency air conditioner. The method comprises:

[0007] When the variable frequency air conditioner enters the fuzzy adjustment stage, multi-dimensional variable fuzzy control is performed according to the set composite fuzzy control table;

[0008] The composite fuzzy control table includes a parent region and a sub-region contained in the parent region;

[0009] The temperature difference accuracy and temperature change rate accuracy of the mother area are limited to within ±3°C;

[0010] The area where 3°C> temperature difference accuracy and temperature change rate accuracy>0.5°C is set as a general adjustment area; there are 4 general adjustment areas; the range of the sub-area is limited to the area other than the 4 general adjustment areas in the parent area;

[0011] The temperature difference in the composite fuzzy control table is the set temperature minus the current indoor temperature; the temperature change rate in the composite fuzzy control table is (current indoor temperature minus the indoor temperature before the interval time t) ÷ the interval time t.

[0012] Furthermore, the sub-region can be adjusted by 3rd-order fuzzy control, and the adjustment is performed according to the stages of coarse adjustment-fine adjustment-gaze. The temperature difference accuracy in the three stages becomes smaller and smaller, the temperature change rate accuracy becomes smaller and smaller, and the adjustment range becomes smaller and smaller.

[0013] Furthermore, in the third-order adjustment of the sub-region of the composite fuzzy control table, the temperature difference accuracy of the first stage is 1°C, and the adjustment range is 1HZ; the temperature difference accuracy of the second stage is 0.2°C, and the adjustment range is 0.2HZ; the temperature difference accuracy of the third stage is 0.1°C, and the adjustment range is 0.1HZ;

[0014] In the sub-area, a micro-level adjustment amount (▽) is set, and the micro-level adjustment amount is limited to a multiple of 0.1HZ. The adjustment amount is set only when the temperature difference and temperature change are both identified to be 0.1°C and have the same sign, and the settings are all micro-level adjustments.

[0015] Furthermore, the first order of the sub-region is defined as a coarse adjustment region, specifically:

[0016] The area where the temperature difference accuracy is less than 0.5°C and the temperature change rate accuracy is greater than 0.5°C is set as coarse adjustment area I, and there are 2 in total;

[0017] The area where the temperature difference accuracy is greater than 0.5°C and the temperature change rate accuracy is less than 0.5°C is set as coarse adjustment area II, and there are 2 in total;

[0018] In the coarse adjustment zone I, the maximum number of identical adjustment values ​​in any horizontal dimension is ≥4; in the coarse adjustment zone II, the maximum number of identical adjustment values ​​in any vertical dimension is ≥4.

[0019] Furthermore, the second order of the sub-region is defined as a fine-tuning region, specifically:

[0020] 0.1℃<temperature difference accuracy≤0.5℃, and 0.1℃<temperature change rate accuracy≤0.5℃;

[0021] In the fine-tuning area, the maximum number of identical adjustments in any horizontal or vertical dimension is less than 4.

[0022] Furthermore, the third order of the sub-areas is defined as the gaze area, specifically:

[0023] 0℃≤Temperature difference accuracy≤0.1℃, and 0℃≤Temperature change rate accuracy≤0.1℃;

[0024] In the staring area, the adjustment amount is only used when the temperature difference and temperature change jointly identify a difference of 0.1°C, otherwise the adjustment amount is set to 0.

[0025] Furthermore, in the composite fuzzy control table, when calculating the room temperature change rates of the general adjustment area, the coarse adjustment area, the fine adjustment area and the staring area, the setting value of the interval time t increases in sequence.

[0026] Furthermore, when calculating the room temperature change rate in the general adjustment area, the interval time t is set to t0 time; when calculating the room temperature change rate in the coarse adjustment area, the interval time t is set to 2t0 time; when calculating the room temperature change rate in the fine adjustment area, the interval time t is set to 3t0 time; when calculating the room temperature change rate in the staring area, the interval time t is set to 5t0 time.

[0027] Furthermore, the t0 time is 1 minute.

[0028] Further, the method for obtaining the composite fuzzy control table includes: after obtaining the composite fuzzy control table a in the laboratory environment, storing the composite fuzzy control table a in the air conditioner memory, and then correcting the fuzzy adjustment amount in the composite fuzzy control table a according to the difference between the outdoor temperature of the actual use environment of the air conditioner and the outdoor temperature corresponding to the laboratory environment and a preset correction coefficient, to obtain a corrected composite fuzzy control table b;

[0029] The correction formula is:

[0030] The adjustment amount in the composite fuzzy control table b = k1 (the current actual outdoor temperature - the outdoor temperature corresponding to the laboratory environment) × the adjustment amount in the composite fuzzy control table a;

[0031] Wherein, k1 is the preset correction coefficient.

[0032] Furthermore, a fuzzy adjustment amount proportionality mechanism is provided in each area of ​​the composite fuzzy control table. When entering the fuzzy adjustment link, the base frequency Ff when entering the fuzzy adjustment stage is used as a reference to calculate the ratio Pr of each fuzzy adjustment amount to the base frequency, and all fixed fuzzy adjustment amounts in the entire fuzzy control table are converted into corresponding Pr and stored in the system. When the fuzzy control amount is adjusted next time, the current real-time frequency Fr×Pr is used to obtain the corresponding fuzzy adjustment amount, and the fuzzy adjustment is performed with the corresponding fuzzy adjustment amount.

[0033] Furthermore, in the third-order adjustment of the sub-area of ​​the composite fuzzy control table, the minimum adjustment amount can reach 0.1 Hz.

[0034] On the other hand, the present invention further provides a variable frequency air conditioning device, which includes a processor and a memory, wherein the memory stores a computer program, and the processor implements the above-mentioned multi-dimensional dynamic fuzzy control method by executing the computer program.

[0035] The beneficial effects of the present invention are:

[0036] The composite fuzzy control table used for fuzzy control in the present invention is composed of a parent area and a sub-area, wherein the sub-area can be adjusted by a third-order fuzzy control, and the temperature change rate accuracy in the three stages is getting smaller and smaller, and the adjustment range is getting smaller and smaller, thereby achieving more refined control of the temperature, so that the variable frequency air conditioner can be more adaptable to the room load size and load change trend when performing fuzzy control to avoid overshoot, thereby improving user comfort while reducing energy waste. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 Schematic diagram of each area in the composite fuzzy control table, where mark 1 is the coarse adjustment area I, mark 2 is the coarse adjustment area II, mark 3 is the fine adjustment area, and mark 4 is the gaze area. DETAILED DESCRIPTION

[0038] The present invention aims to provide a multi-dimensional dynamic fuzzy control method and variable frequency air conditioning equipment to solve the problems of insufficient temperature control accuracy, large temperature fluctuation, easy overshoot, affecting user comfort and easily causing energy waste in the existing variable frequency air conditioning frequency control scheme. In the scheme of the present invention, when the variable frequency air conditioner enters the fuzzy adjustment link, multi-dimensional variable fuzzy control is performed according to the set composite fuzzy control table; wherein the composite fuzzy control table is refined on the basis of the existing fuzzy control table, specifically, it is composed of a parent area and a sub-area, wherein the sub-area can be adjusted by a third-order fuzzy control, and the temperature change rate accuracy of the three stages is getting smaller and smaller, and the adjustment range is getting smaller and smaller. In this way, the present invention can realize multi-dimensional variable fuzzy control according to the actual environment, room load conditions, and load change trend conditions, so as to realize more refined temperature adjustment and control, while improving user comfort, also reducing energy waste.

[0039] Example

[0040] In the multi-dimensional dynamic fuzzy control method provided in this embodiment, the compressor startup frequency increase speed is 2Hz / s. After startup, the frequency is first increased to ≥10Hz and then adjusted to the initial target frequency. When the air conditioner reaches the initial target operating frequency and runs for ≥1 minute, multi-dimensional variable fuzzy control is performed according to the set composite fuzzy control table.

[0041] Wherein, the composite fuzzy control table includes a parent region and sub-regions contained in the parent region;

[0042] The temperature difference accuracy and temperature change rate accuracy of the mother area are limited to within ±3°C;

[0043] The area where 3°C>temperature difference accuracy and temperature change rate accuracy>0.5°C is set as a general adjustment area; there are 4 general adjustment areas; the range of the sub-area is limited to the area in the parent area except the 4 general adjustment areas.

[0044] An exemplary composite fuzzy control table is shown in Table 1 below:

[0045] Table 1 Composite fuzzy control table

[0046]

[0047] The temperature difference in the table is the set temperature - current indoor temperature; the temperature change rate is (current indoor temperature - indoor temperature before interval time t) ÷ interval time t.

[0048] The sub-areas in the table can be adjusted by 3rd order fuzzy control, and the adjustment is carried out according to the stages of coarse adjustment-fine adjustment-gaze. The accuracy of the temperature change rate in the three stages is getting smaller and smaller, and the adjustment range is getting smaller and smaller. In the 3rd order adjustment of the sub-areas of the composite fuzzy control table, the temperature difference accuracy in the first stage is 1°C, and the adjustment range is 1HZ; the temperature difference accuracy in the second stage is 0.2°C, and the adjustment range is 0.2HZ; the temperature difference accuracy in the third stage is 0.1°C, and the adjustment range is 0.1HZ;

[0049] In the sub-area, a micro-level adjustment amount (▽) is set, and the micro-level adjustment amount is limited to a multiple of 0.1HZ. The adjustment amount is set only when the temperature difference and temperature change are both identified to be 0.1°C and have the same sign, and the settings are all micro-level adjustments.

[0050] Among them, the third order of the sub-region is:

[0051] ①The first order is defined as the coarse adjustment area, specifically:

[0052] The area where the temperature difference accuracy is less than 0.5°C and the temperature change rate accuracy is greater than 0.5°C is set as coarse adjustment area I, and there are 2 in total;

[0053] The area where the temperature difference accuracy is greater than 0.5°C and the temperature change rate accuracy is less than 0.5°C is set as coarse adjustment area II, and there are 2 in total;

[0054] In the coarse adjustment zone I, the maximum number of identical adjustment values ​​in any horizontal dimension is ≥4; in the coarse adjustment zone II, the maximum number of identical adjustment values ​​in any vertical dimension is ≥4.

[0055] ②The second order of the sub-region is defined as the fine-tuning region, specifically:

[0056] 0.1℃<temperature difference accuracy≤0.5℃, and 0.1℃<temperature change rate accuracy≤0.5℃;

[0057] In the fine-tuning area, the maximum number of identical adjustments in any horizontal or vertical dimension is less than 4.

[0058] ③The third order of sub-areas is defined as the gaze area, specifically:

[0059] 0℃≤Temperature difference accuracy≤0.1℃, and 0℃≤Temperature change rate accuracy≤0.1℃;

[0060] In the staring area, the adjustment amount is only used when the temperature difference and temperature change jointly identify a difference of 0.1°C, otherwise the adjustment amount is set to 0.

[0061] For the third-order region division of the composite fuzzy control table, see Figure 1 shown.

[0062] In the above composite fuzzy control table, when calculating the room temperature change rate of the general adjustment area, the rough adjustment area, the fine adjustment area and the staring area, the setting amount of the interval time t increases successively. In an exemplary manner, when calculating the room temperature change rate of the general adjustment area, the interval time t is set to t0 time; when calculating the room temperature change rate of the rough adjustment area, the interval time t is set to 2t0 time; when calculating the room temperature change rate of the fine adjustment area, the interval time t is set to 3t0 time; when calculating the room temperature change rate of the staring area, the interval time t is set to 5t0 time. Wherein, the t0 is a unit time, which can be 1 minute.

[0063] Since the composite fuzzy control table is usually obtained by testing in a laboratory environment, and the outdoor temperature corresponding to the laboratory environment is usually different from the outdoor temperature of the actual use environment, if the composite fuzzy control table obtained in the laboratory environment is directly used, there may be inaccurate control. Therefore, after the composite fuzzy control table a is obtained in the laboratory environment, the composite fuzzy control table a is stored in the air conditioner memory, and then the fuzzy adjustment amount in the composite fuzzy control table a is corrected according to the difference between the outdoor temperature of the actual use environment of the air conditioner and the outdoor temperature corresponding to the laboratory environment and the preset correction coefficient, to obtain the corrected composite fuzzy control table b;

[0064] The correction formula is:

[0065] The adjustment amount in the composite fuzzy control table b = k1 (the current actual outdoor temperature - the outdoor temperature corresponding to the laboratory environment) × the adjustment amount in the composite fuzzy control table a;

[0066] Wherein, k1 is the preset correction coefficient.

[0067] In addition, in order to facilitate the calculation of the fuzzy amount of fuzzy adjustment, a fuzzy adjustment amount proportionality mechanism is set in each area of ​​the composite fuzzy control table. When entering the fuzzy adjustment link, the base frequency Ff when entering the fuzzy adjustment stage is used as a reference to calculate the ratio Pr of each fuzzy adjustment amount to the base frequency, and all fixed fuzzy adjustment amounts in the entire fuzzy control table are converted into corresponding Pr and stored in the system. When the fuzzy control amount is adjusted next time, the current real-time frequency Fr×Pr is used to obtain the corresponding fuzzy adjustment amount, and the fuzzy adjustment is performed with the corresponding fuzzy adjustment amount.

[0068] The fuzzy control table in the traditional solution is shown in Table 2 below. It can be seen that when controlling according to this fuzzy control table, it can only be adjusted with an accuracy of 1°C, which is easy to overshoot and waste energy. In contrast, the fuzzy control table in this solution can not only realize fuzzy control with conventional accuracy, but more importantly, it can realize multi-dimensional variable fuzzy control according to the actual environment, room load conditions, and load change trends, so as to achieve more refined temperature control, while improving user comfort, also reducing energy waste.

[0069] Table 2 Fuzzy control table in traditional scheme

[0070]

[0071] Finally, it should be noted that the above embodiments are only preferred implementations and are not intended to limit the present invention. It should be pointed out that for those skilled in the art, several modifications, equivalent replacements, improvements, etc. can be made without departing from the scope of the present invention and the scope of protection of the claims, and all of these should be included in the protection scope of the present invention.

Claims

1. A multi-dimensional dynamic fuzzy control method, applied to variable frequency air conditioners, characterized in that: The method includes: When the variable frequency air conditioner enters the fuzzy adjustment stage, multi-dimensional variable fuzzy control is performed according to the set composite fuzzy control table; The composite fuzzy control table includes a parent region and a sub-region contained in the parent region; The temperature difference accuracy and temperature change rate accuracy of the mother area are limited to within ±3°C; The area where 3°C> temperature difference accuracy and temperature change rate accuracy>0.5°C is set as a general adjustment area; there are 4 general adjustment areas; the range of the sub-area is limited to the area other than the 4 general adjustment areas in the parent area; The temperature difference in the composite fuzzy control table is the set temperature minus the current indoor temperature; the temperature change rate in the composite fuzzy control table is (current indoor temperature minus the indoor temperature before the interval time t) ÷ the interval time t.

2. A multi-dimensional dynamic fuzzy control method as claimed in claim 1, characterized in that: The sub-region can be adjusted by three-order fuzzy control, and the adjustment is performed according to the stages of coarse adjustment-fine adjustment-gaze. The temperature difference accuracy in the three stages becomes smaller and smaller, the temperature change rate accuracy becomes smaller and smaller, and the adjustment range becomes smaller and smaller.

3. A multi-dimensional dynamic fuzzy control method as claimed in claim 2, characterized in that: In the three-stage adjustment of the sub-area of ​​the composite fuzzy control table, the temperature difference accuracy of the first stage is 1°C, and the adjustment range is 1HZ; the temperature difference accuracy of the second stage is 0.2°C, and the adjustment range is 0.2HZ; the temperature difference accuracy of the third stage is 0.1°C, and the adjustment range is 0.1HZ; In the sub-area, a micro-level adjustment amount is set, and the micro-level adjustment amount is limited to a multiple of 0.1HZ. The adjustment amount is set only when the temperature difference and temperature change are both identified to be 0.1°C and have the same sign, and the micro-level adjustment amount is set.

4. A multi-dimensional dynamic fuzzy control method as claimed in claim 2, characterized in that: The first order of the sub-region is defined as the coarse adjustment region, specifically: The area where the temperature difference accuracy is less than 0.5°C and the temperature change rate accuracy is greater than 0.5°C is set as coarse adjustment area I, and there are 2 in total; The area where the temperature difference accuracy is greater than 0.5°C and the temperature change rate accuracy is less than 0.5°C is set as coarse adjustment area II, and there are 2 in total; In the coarse adjustment zone I, the maximum number of identical adjustment values ​​in any horizontal dimension is ≥4; in the coarse adjustment zone II, the maximum number of identical adjustment values ​​in any vertical dimension is ≥4.

5. A multi-dimensional dynamic fuzzy control method as claimed in claim 2, characterized in that: The second order of the sub-region is defined as the fine tuning region, specifically: 0.1℃<temperature difference accuracy≤0.5℃, and 0.1℃<temperature change rate accuracy≤0.5℃; In the fine-tuning area, the maximum number of identical adjustments in any horizontal or vertical dimension is less than 4.

6. A multi-dimensional dynamic fuzzy control method as claimed in claim 2, characterized in that: The third order of sub-areas is defined as the gaze area, specifically: 0℃≤Temperature difference accuracy≤0.1℃, and 0℃≤Temperature change rate accuracy≤0.1℃; In the staring area, the adjustment amount is only used when the temperature difference and temperature change jointly identify a difference of 0.1°C, otherwise the adjustment amount is set to 0.

7. A multi-dimensional dynamic fuzzy control method as claimed in claim 2, characterized in that: In the composite fuzzy control table, when calculating the room temperature change rates of the general adjustment area, the rough adjustment area, the fine adjustment area and the staring area, the setting amount of the interval time t increases in sequence.

8. A multi-dimensional dynamic fuzzy control method as claimed in claim 7, characterized in that: When calculating the room temperature change rate in the general adjustment area, the interval time t is set to t0 time; when calculating the room temperature change rate in the coarse adjustment area, the interval time t is set to 2t0 time; when calculating the room temperature change rate in the fine adjustment area, the interval time t is set to 3t0 time; when calculating the room temperature change rate in the staring area, the interval time t is set to 5t0 time.

9. A multi-dimensional dynamic fuzzy control method as claimed in claim 8, characterized in that: The t0 time is 1 minute.

10. A multi-dimensional dynamic fuzzy control method according to any one of claims 1 to 9, characterized in that: The method for obtaining the composite fuzzy control table includes: after obtaining the composite fuzzy control table a in a laboratory environment, storing the composite fuzzy control table a in an air conditioner memory, and then correcting the fuzzy adjustment amount in the composite fuzzy control table a according to the difference between the outdoor temperature of the actual use environment of the air conditioner and the outdoor temperature corresponding to the laboratory environment and a preset correction coefficient, to obtain a corrected composite fuzzy control table b; The correction formula is: The adjustment amount in the composite fuzzy control table b = k1 (the current actual outdoor temperature - the outdoor temperature corresponding to the laboratory environment) × the adjustment amount in the composite fuzzy control table a; Among them, k1 is the preset correction coefficient.

11. A multi-dimensional dynamic fuzzy control method as claimed in claim 10, characterized in that: A fuzzy adjustment amount proportionality mechanism is provided in each area of ​​the composite fuzzy control table. When entering the fuzzy adjustment link, the base frequency Ff when entering the fuzzy adjustment stage is used as a reference to calculate the ratio Pr of each fuzzy adjustment amount to the base frequency, and all fixed fuzzy adjustment amounts in the entire fuzzy control table are converted into corresponding Pr and stored in the system. When the fuzzy control amount is adjusted next time, the current real-time frequency Fr×Pr is used to obtain the corresponding fuzzy adjustment amount, and the fuzzy adjustment is performed with the corresponding fuzzy adjustment amount.

12. A variable frequency air conditioning device, comprising a processor and a memory, wherein a computer program is stored in the memory, wherein: The processor implements the multi-dimensional dynamic fuzzy control method as described in any one of claims 1-11 by executing the computer program.

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