CN105402860A - Air-conditioner self-adaptation control method and system - Google Patents

Air-conditioner self-adaptation control method and system Download PDF

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Publication number
CN105402860A
CN105402860A CN201510990518.9A CN201510990518A CN105402860A CN 105402860 A CN105402860 A CN 105402860A CN 201510990518 A CN201510990518 A CN 201510990518A CN 105402860 A CN105402860 A CN 105402860A
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temperature value
fuzzy
deviate
control
air
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CN105402860B (en
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张静
尤顺义
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Guangdong Chigo Air Conditioning Co Ltd
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Guangdong Chigo Air Conditioning Co Ltd
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    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00Control or safety arrangements
    • F24F11/30Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00Control or safety arrangements
    • F24F11/62Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00Control or safety arrangements
    • F24F11/50Control or safety arrangements characterised by user interfaces or communication
    • F24F11/56Remote control
    • F24F11/59Remote control for presetting
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00Control or safety arrangements
    • F24F11/62Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
    • F24F11/63Electronic processing
    • F24F11/64Electronic processing using pre-stored data

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  • Engineering & Computer Science (AREA)
  • Chemical & Material Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • Mechanical Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Fuzzy Systems (AREA)
  • Mathematical Physics (AREA)
  • Signal Processing (AREA)
  • Air Conditioning Control Device (AREA)

Abstract

The embodiment of the invention discloses an air-conditioner self-adaptation control method which is used for solving the problems of non-uniform temperature distribution of indoor areas and large temperature differences between some areas and a temperature set by a user, which are easily caused in a comfortable temperature control stage of a conventional air conditioner. The method provided by the embodiment of the invention comprises the following steps: calculating the deviation value between an actual temperature value and a set temperature value; converting the deviation value into a corresponding fuzzy quantity according to a preset fuzzy rule; judging whether the fuzzy quantity is less than the deviation value, if no, performing PID fuzzy control which comprises the following steps: calculating a deviation change rate corresponding to the deviation value according to the actual temperature value and the set temperature value; acquiring a calibration frequency through a PID control algorithm and the preset fuzzy rule according to the deviation value and the deviation change rate; and adjusting the working frequency of a compressor into the calibration frequency. The embodiment of the invention further provides an air-conditioner self-adaptation control system.

Description

A kind of air-conditioner self-adaptation control method and system
Technical field
The present invention relates to field of air conditioning, particularly relate to a kind of air-conditioner self-adaptation control method and system.
Background technology
Existing air-conditioner product, its indoor temperature controls generally to be divided into fast cooling and comfortable temperature control two benches.In the fast cooling stage, air-conditioner general control compressor peak frequency exports, and realizes refrigerating capacity and maximizes, in the hope of fast cooling; And when temperature arrives near design temperature, then enter the comfortable temperature control stage, Dynamic controlling compressor power output, to seek to stable control temp, manufacture comfortable indoor environment.
But the control of existing air-conditioner product to indoor temperature is the environment temperature that detects with indoor temperature-sensing probe is benchmark, and this temperature-sensing probe is arranged on indoor set, the environment temperature of indoor set near zone only can be detected.Especially for the indoor environment that area is larger, its indoor set near zone is with very large compared with the environment temperature difference of far region.And the temperature control method of existing air-conditioner with the result of temperature-sensing probe for benchmark, in the comfortable temperature control stage, easily occur that the temperature distributing disproportionation of indoor regional is even, situation that temperature contrast that subregion and user set is larger occur.
Summary of the invention
Embodiments provide a kind of air-conditioner self-adaptation control method and system, can solve existing air-conditioner easily occurring in the comfortable temperature control stage that the temperature distributing disproportionation of indoor regional is even, problem that the temperature contrast that sets of subregion and user is larger.
A kind of air-conditioner self-adaptation control method that the embodiment of the present invention provides, comprising:
The actual temperature value that the temperature sensor obtaining described air-conditioner collects;
Obtain the set temperature value of user;
Calculate the deviate of described actual temperature value and described set temperature value;
According to the fuzzy rule preset, described deviate is converted into corresponding fuzzy quantity;
Judge whether described fuzzy quantity is less than described deviate, if so, then maintain the present operating frequency of the compressor of described air-conditioner, if not, then carry out PID fuzzy control;
Described PID fuzzy control specifically comprises the following steps:
The deviation variation rate corresponding with described deviate is calculated with described set temperature value according to described actual temperature value;
Emending frequency is obtained by PI control algolithm and default fuzzy control rule according to described deviate and described deviation variation rate;
The operating frequency of described compressor is adjusted to described emending frequency.
Alternatively, obtain emending frequency according to described deviate and described deviation variation rate by PI control algolithm and default fuzzy control rule specifically to comprise:
According to the fuzzy control rule preset, described deviate and described deviation variation rate are converted into the first corresponding fuzzy quantity and the second fuzzy quantity;
Obtain the fuzzy reasoning table preset;
Inquire about described fuzzy reasoning table, obtain first derived value corresponding with described first fuzzy quantity and described second fuzzy quantity and the second derived value;
Described emending frequency is calculated according to described first derived value, the second derived value and described PI control algolithm.
Alternatively, described PID fuzzy control is further comprising the steps of:
The aperture amount of the electric expansion valve of described air-conditioner and the rotating speed of outdoor DC fan is regulated according to described emending frequency.
Alternatively, also comprise before calculating the deviate of described actual temperature value and described set temperature value:
Corresponding critical temperature value is calculated according to described set temperature value;
Judge whether described actual temperature value is less than described critical temperature value, if so, then perform the step of the deviate calculating described actual temperature value and described set temperature value, if not, then control described compressor and export with peak frequency.
Alternatively, while the described compressor of control exports with peak frequency, the electric expansion valve controlling described air-conditioner carries out Automatic adjusument.
A kind of air-conditioner adaptive control system that the embodiment of the present invention provides, comprising:
Temperature collect module, the actual temperature value that the temperature sensor for obtaining described air-conditioner collects;
Design temperature acquisition module, for obtaining the set temperature value of user;
Deviate computing module, for calculating the deviate of described actual temperature value and described set temperature value;
Fuzzy quantity modular converter, for being converted into corresponding fuzzy quantity according to the fuzzy rule preset by described deviate;
Judge module, for judging whether described fuzzy quantity is less than described deviate;
Maintaining module, for when the judged result of described judge module is for being, maintaining the present operating frequency of the compressor of described air-conditioner;
Trigger module, for when the judged result of described judge module is no, triggers PID fuzzy control model;
Described PID fuzzy control model comprises:
Deviation variation rate computing unit, for calculating the deviation variation rate corresponding with described deviate according to described actual temperature value with described set temperature value;
Emending frequency computing unit, for obtaining emending frequency according to described deviate and described deviation variation rate by PI control algolithm and default fuzzy control rule;
Regulon, for being adjusted to described emending frequency by the operating frequency of described compressor.
Alternatively, described emending frequency computing unit comprises:
Transformant unit, for being converted into the first corresponding fuzzy quantity and the second fuzzy quantity according to the fuzzy control rule preset by described deviate and described deviation variation rate;
Obtain subelement, for obtaining default fuzzy reasoning table;
Inquiry subelement, for inquiring about described fuzzy reasoning table, obtains first derived value corresponding with described first fuzzy quantity and described second fuzzy quantity and the second derived value;
Emending frequency computation subunit, for calculating described emending frequency according to described first derived value, the second derived value and described PI control algolithm.
Alternatively, described system also comprises:
Aperture amount and rotational speed regulation module, for the rotating speed of the aperture amount and outdoor DC fan that regulate the electric expansion valve of described air-conditioner according to described emending frequency.
Alternatively, described system also comprises:
Critical temperature value computing module, for calculating corresponding critical temperature value according to described set temperature value;
Temperature judge module, for judging whether described actual temperature value is less than described critical temperature value;
Deviation trigger module, for when the judged result of described temperature judge module is for being, triggers described deviate computing module;
Maximum output module, for when the judged result of described temperature judge module is no, controls described compressor and exports with peak frequency.
Alternatively, described system also comprises:
Expansion valve control module, for controlling described compressor at described maximum output module with while peak frequency output, the electric expansion valve controlling described air-conditioner carries out Automatic adjusument.
As can be seen from the above technical solutions, the embodiment of the present invention has the following advantages:
In the embodiment of the present invention, first, the actual temperature value that the temperature sensor obtaining described air-conditioner collects; Then, the set temperature value of user is obtained; Calculate the deviate of described actual temperature value and described set temperature value; Then, according to the fuzzy rule preset, described deviate is converted into corresponding fuzzy quantity; Finally, judge whether described fuzzy quantity is less than described deviate, if so, then maintain the present operating frequency of the compressor of described air-conditioner, if not, then carry out PID fuzzy control; Described PID fuzzy control specifically comprises the following steps: calculate the deviation variation rate corresponding with described deviate according to described actual temperature value with described set temperature value; Emending frequency is obtained by PI control algolithm and default fuzzy control rule according to described deviate and described deviation variation rate; The operating frequency of described compressor is adjusted to described emending frequency.In embodiments of the present invention, when the fuzzy quantity calculated is not less than deviate, PID fuzzy control is carried out to air-conditioner, air-conditioner can be regulated according to the Temperature Distribution of indoor regional, avoid the situation that subregion temperature contrast is large.
Accompanying drawing explanation
Fig. 1 is a kind of air-conditioner self-adaptation control method embodiment flow chart in the embodiment of the present invention;
Fig. 2 is another embodiment flow chart of a kind of air-conditioner self-adaptation control method in the embodiment of the present invention;
Fig. 3 is the indoor temperature the strategy of stepwise control schematic diagram of air-conditioning system;
Fig. 4 is the temperature control flow chart in the embodiment of the present invention under a kind of air-conditioner self-adaptation control method application scenarios;
Fig. 5 is a kind of air-conditioner adaptive control system example structure figure in the embodiment of the present invention;
Fig. 6 is a kind of another example structure figure of air-conditioner adaptive control system in the embodiment of the present invention.
Detailed description of the invention
Embodiments provide a kind of air-conditioner self-adaptation control method and system, for solve existing air-conditioner easily occurring in the comfortable temperature control stage that the temperature distributing disproportionation of indoor regional is even, problem that the temperature contrast that sets of subregion and user is larger.
For making goal of the invention of the present invention, feature, advantage can be more obvious and understandable, below in conjunction with the accompanying drawing in the embodiment of the present invention, technical scheme in the embodiment of the present invention is clearly and completely described, obviously, the embodiments described below are only the present invention's part embodiments, and the embodiment of not all.Based on the embodiment in the present invention, those of ordinary skill in the art, not making other embodiments all obtained under creative work prerequisite, belong to the scope of protection of the invention.
Refer to Fig. 1, in the embodiment of the present invention, a kind of air-conditioner self-adaptation control method embodiment comprises:
101, the actual temperature value that the temperature sensor obtaining this air-conditioner collects;
First, the actual temperature value that the temperature sensor obtaining this air-conditioner collects.
102, the set temperature value of user is obtained;
After the actual temperature value that the temperature sensor obtaining this air-conditioner collects, the set temperature value of user can be obtained.
103, the deviate of this actual temperature value and this set temperature value is calculated;
After the set temperature value obtaining user, the deviate of this actual temperature value and this set temperature value can be calculated.
104, this deviate is converted into corresponding fuzzy quantity according to the fuzzy rule preset;
After the deviate calculating this actual temperature value and this set temperature value, according to the fuzzy rule preset, this deviate can be converted into corresponding fuzzy quantity.
105, judge whether this fuzzy quantity is less than this deviate, if so, then perform step 106, if not, then perform step 107;
After this deviate being converted into corresponding fuzzy quantity according to the fuzzy rule preset, can judge whether this fuzzy quantity is less than this deviate, if so, then perform step 106, if not, then perform step 107.
106, the present operating frequency of the compressor of this air-conditioner is maintained;
When judging to learn that this fuzzy quantity is less than this deviate, the present operating frequency of the compressor of this air-conditioner can be maintained.
107, the deviation variation rate corresponding with this deviate is calculated according to this actual temperature value with this set temperature value;
When judging to learn that this fuzzy quantity is not less than this deviate, the deviation variation rate corresponding with this deviate can be calculated according to this actual temperature value with this set temperature value
108, emending frequency is obtained according to this deviate and this deviation variation rate by PI control algolithm and default fuzzy control rule;
After calculating the deviation variation rate corresponding with this deviate according to this actual temperature value with this set temperature value, emending frequency can be obtained according to this deviate and this deviation variation rate by PI control algolithm and the fuzzy control rule preset.
109, the operating frequency of this compressor is adjusted to this emending frequency.
After obtaining emending frequency according to this deviate and this deviation variation rate by PI control algolithm and the fuzzy control rule preset, the operating frequency of this compressor can be adjusted to this emending frequency.
In the present embodiment, first, the actual temperature value that the temperature sensor obtaining this air-conditioner collects; Then, the set temperature value of user is obtained; Calculate the deviate of this actual temperature value and this set temperature value; Then, according to the fuzzy rule preset, this deviate is converted into corresponding fuzzy quantity; Finally, judge whether this fuzzy quantity is less than this deviate, if so, then maintain the present operating frequency of the compressor of this air-conditioner, if not, then carry out PID fuzzy control; This PID fuzzy control specifically comprises the following steps: calculate the deviation variation rate corresponding with this deviate according to this actual temperature value with this set temperature value; Emending frequency is obtained by PI control algolithm and default fuzzy control rule according to this deviate and this deviation variation rate; The operating frequency of this compressor is adjusted to this emending frequency.In the present embodiment, when the fuzzy quantity calculated is not less than deviate, PID fuzzy control is carried out to air-conditioner, air-conditioner can be regulated according to the Temperature Distribution of indoor regional, avoid the situation that subregion temperature contrast is large.
For ease of understanding, be described in detail a kind of air-conditioner self-adaptation control method in the embodiment of the present invention below, refer to Fig. 2, in the embodiment of the present invention, a kind of another embodiment of air-conditioner self-adaptation control method comprises:
201, the actual temperature value that the temperature sensor obtaining this air-conditioner collects;
First, the actual temperature value that the temperature sensor that can obtain this air-conditioner collects.
202, the set temperature value of user is obtained;
After the actual temperature value that the temperature sensor obtaining this air-conditioner collects, the set temperature value of user can be obtained.
203, corresponding critical temperature value is calculated according to this set temperature value;
After the set temperature value obtaining user, corresponding critical temperature value can be calculated according to this set temperature value.This critical temperature value is the boundary value in indoor temperature control procedure between fast cooling stage and comfortable temperature control stage.
204, judge whether this actual temperature value is less than this critical temperature value, if so, then perform step 207, if not, then perform step 205;
After calculate corresponding critical temperature value according to this set temperature value, can judge whether this actual temperature value is less than this critical temperature value, if so, then perform step 207, if not, then perform step 205.
It should be noted that, indoor temperature control can be divided into fast cooling and comfortable temperature control two benches, with the time dependent trend of indoor temperature by design of system control for segmented mode, as shown in Figure 3.
Wherein A section compressor directly exports larger frequency, at this moment reach ideal value by the liquid supply rate of the regulable control evaporimeter of electric expansion valve with the difference (degree of superheat) of evaporator inlet temperature and outlet temperature in control room, guarantee system is lowered the temperature with maximum capacity.Under the state of this variable working condition, Air conditioner refrigerating capacity is maximum is that the task of the system combined work of frequency-changeable compressor-electric expansion valve and device are stabilized the economy the requirement run.
During B section with control indoor temperature as far as possible close to desirable indoor temperature for main target, the mode of Fuzzy PID self-adaptive control now can be adopted to control the operating frequency of compressor.
205, control this compressor to export with peak frequency;
When judging to learn that this actual temperature value is not less than this critical temperature value, illustrating that indoor temperature controls to be in the fast cooling stage, therefore controlling this compressor and export with peak frequency.
206, the electric expansion valve controlling this air-conditioner carries out Automatic adjusument;
While this compressor of control exports with peak frequency, the electric expansion valve that can also control this air-conditioner carries out Automatic adjusument.Be understandable that, the control of this electric expansion valve is after compressor frequency confirms, by controlling evaporator superheat, system mode is adjusted to optimum state automatically.
207, the deviate of this actual temperature value and this set temperature value is calculated;
When judging to learn that this actual temperature value is less than this critical temperature value, illustrating that indoor temperature controls to be in the comfortable temperature control stage, now, the deviate of this actual temperature value and this set temperature value can be calculated.
208, this deviate is converted into corresponding fuzzy quantity according to the fuzzy rule preset;
After the deviate calculating this actual temperature value and this set temperature value, according to the fuzzy rule preset, this deviate can be converted into corresponding fuzzy quantity.Be understandable that, this fuzzy rule can set according to actual conditions, and this deviate is converted into corresponding fuzzy quantity under the regulation of fuzzy rule.
209, judge whether this fuzzy quantity is less than this deviate, if so, then perform step 210, if not, then perform step 211;
After this deviate being converted into corresponding fuzzy quantity according to the fuzzy rule preset, can judge whether this fuzzy quantity is less than this deviate, if so, then perform step 210, if not, then perform step 211.
210, the present operating frequency of the compressor of this air-conditioner is maintained;
When judging to learn that this fuzzy quantity is less than this deviate, illustrating that the operating frequency of air-conditioning compressor meets the demand in current comfortable temperature control stage, the present operating frequency of the compressor of this air-conditioner can be maintained.
211, the deviation variation rate corresponding with this deviate is calculated according to this actual temperature value with this set temperature value;
When judging to learn that this fuzzy quantity is not less than this deviate, illustrate that the operating frequency of air-conditioning compressor does not meet the demand in current comfortable temperature control stage, the deviation variation rate corresponding with this deviate can be calculated according to this actual temperature value with this set temperature value.
212, this deviate and this deviation variation rate are converted into the first corresponding fuzzy quantity and the second fuzzy quantity according to the fuzzy control rule preset;
After calculating the deviation variation rate corresponding with this deviate according to this actual temperature value with this set temperature value, according to the fuzzy control rule preset, this deviate and this deviation variation rate can be converted into the first corresponding fuzzy quantity and the second fuzzy quantity.Be understandable that, this fuzzy control rule can set according to actual conditions.
213, the fuzzy reasoning table preset is obtained;
After the first fuzzy quantity this deviate and this deviation variation rate being converted into correspondence according to the fuzzy control rule preset and the second fuzzy quantity, default fuzzy reasoning table can be obtained.
214, inquire about this fuzzy reasoning table, obtain first derived value corresponding with this first fuzzy quantity and this second fuzzy quantity and the second derived value;
After obtaining the fuzzy reasoning table preset, this fuzzy reasoning table can be inquired about, obtain first derived value corresponding with this first fuzzy quantity and this second fuzzy quantity and the second derived value.This fuzzy reasoning table includes the corresponding relation of fuzzy quantity and derived value, and each fuzzy quantity all can be inquired about and be obtained corresponding derived value in fuzzy reasoning table.
215, this emending frequency is calculated according to this first derived value, the second derived value and this PI control algolithm;
After inquiring the first corresponding derived value and the second derived value, (proportional plus integral control) algorithm can be controlled according to this first derived value, the second derived value and this PI and calculate this emending frequency.It should be noted that, this PI control algolithm can be increment type PI control algolithm, calculates emending frequency by PI control algolithm, can reach the object of correction or lag.
216, the operating frequency of this compressor is adjusted to this emending frequency;
After calculating this emending frequency according to this first derived value, the second derived value and this PI control algolithm, the operating frequency of this compressor can be adjusted to this emending frequency.Be understandable that, namely regulate the operating frequency of this compressor according to emending frequency, make compressor operating on this emending frequency, thus make the operating frequency of compressor meet the demand in current comfortable temperature control stage.
217, the aperture amount of the electric expansion valve of this air-conditioner and the rotating speed of outdoor DC fan is regulated according to this emending frequency.
In addition, while the operating frequency of this compressor is adjusted to this emending frequency, the aperture amount of the electric expansion valve of this air-conditioner and the rotating speed of outdoor DC fan can also be regulated according to this emending frequency.Be understandable that, in most of air-conditioning system, the adjustable output of air-conditioning system has compressor frequency, electric expansion valve, indoor and outdoor DC fan.In order to reduce the complexity of control system, when designing, compressor frequency can be controlled independently to consider with the control of electric expansion valve and outdoor DC fan.Electronic expansion valve controls is automatically be adjusted to optimum state by controlling evaporator superheat after compressor frequency confirms; Outdoor DC fan also realizes stepless speed regulation by compressor frequency by linear algorithm.
Therefore, after the operating frequency of compressor is adjusted to emending frequency, the aperture amount of electric expansion valve and the rotating speed of outdoor DC fan can be regulated, reach the object comprehensively regulating air-conditioning system, make Air-condition system control more comprehensively, more stable.
For ease of understanding, the embodiment described by Fig. 2, is described a kind of air-conditioner self-adaptation control method in the embodiment of the present invention with a practical application scene below, refers to Fig. 4:
1. read indoor environment temperature and design temperature, both the calculating temperature difference, this temperature difference is according to the strategy of stepwise control work of Fig. 3.
During air-conditioning just start, the temperature difference is larger, larger frequency is directly exported by A section compressor, at this moment reach ideal value by the liquid supply rate of the regulable control evaporimeter of electric expansion valve with the difference (degree of superheat) of evaporator inlet temperature and outlet temperature in control room, guarantee system is lowered the temperature with maximum capacity.
After air-conditioning work a period of time, indoor temperature declines, and the temperature difference reduces, and try one's best close to desirable indoor temperature for main target by B section to control indoor temperature, now compressor frequency adopts Fuzzy PID self-adaptive control.
Enter next step control flow.
2., according to the actual temperature value that the temperature sensor sampling of air-conditioned room is read in, obtain the deviation e of itself and set temperature value, after obfuscation, just change fuzzy quantity E into by precise volume,
According to | the comparison of E| and e, judges the difference of room temperature and design temperature, and as temperature approach is little, press frequency remains unchanged.
As temperature approach greatly then enters next step control flow.
3. carry out increment type PI control:
Fuzzy decision is made through fuzzy reasoning process, then controller just can make corresponding adjustment according to the PI parameter after adjustment to indoor air temperature in air conditioned building, exports to show as to control compressor frequency, electronic expansion valve opening, indoor and outdoor DC motor speed.
Anti fuzzy method process is a fixing process step in fuzzy control, also cries ambiguity solution process.Have fixing can method, can be exchanged into precise control amount.
4., by above-mentioned steps repeated work, keep the stable of indoor environment temperature.
Essentially describe a kind of air-conditioner self-adaptation control method above, will be described in detail below, and refer to Fig. 5 to a kind of air-conditioner adaptive controller, in the embodiment of the present invention, a kind of air-conditioner adaptive controller embodiment comprises:
Temperature collect module 501, the actual temperature value that the temperature sensor for obtaining this air-conditioner collects;
Design temperature acquisition module 502, for obtaining the set temperature value of user;
Deviate computing module 503, for calculating the deviate of this actual temperature value and this set temperature value;
Fuzzy quantity modular converter 504, for being converted into corresponding fuzzy quantity according to the fuzzy rule preset by this deviate;
Judge module 505, for judging whether this fuzzy quantity is less than this deviate;
Maintaining module 506, for when the judged result of this judge module 505 is for being, maintaining the present operating frequency of the compressor of this air-conditioner;
Trigger module 507, for when the judged result of this judge module 505 is no, triggers PID fuzzy control model 508;
This PID fuzzy control model 508 comprises:
Deviation variation rate computing unit 5081, for calculating the deviation variation rate corresponding with this deviate according to this actual temperature value with this set temperature value;
Emending frequency computing unit 5082, for obtaining emending frequency according to this deviate and this deviation variation rate by PI control algolithm and default fuzzy control rule;
Regulon 5083, for being adjusted to this emending frequency by the operating frequency of this compressor.
In the present embodiment, first, the actual temperature value that the temperature sensor that temperature collect module 501 obtains this air-conditioner collects; Design temperature acquisition module 502 obtains the set temperature value of user; Then, deviate computing module 503 calculates the deviate of this actual temperature value and this set temperature value; Fuzzy quantity modular converter 504, for being converted into corresponding fuzzy quantity according to the fuzzy rule preset by this deviate; Then, judge module 505 judges whether this fuzzy quantity is less than this deviate; When the judged result of this judge module 505 is for being, maintain the present operating frequency that module 506 maintains the compressor of this air-conditioner; When the judged result of this judge module 505 is no, trigger module 507 triggers PID fuzzy control model 508; This PID fuzzy control model 508 comprises: deviation variation rate computing unit 5081, for calculating the deviation variation rate corresponding with this deviate according to this actual temperature value with this set temperature value; Emending frequency computing unit 5082, for obtaining emending frequency according to this deviate and this deviation variation rate by PI control algolithm and default fuzzy control rule; Regulon 5083, for being adjusted to this emending frequency by the operating frequency of this compressor.In the present embodiment, when the fuzzy quantity calculated is not less than deviate, PID fuzzy control is carried out to air-conditioner, air-conditioner can be regulated according to the Temperature Distribution of indoor regional, avoid the situation that subregion temperature contrast is large.
For ease of understanding, be described in detail a kind of air-conditioner adaptive controller in the embodiment of the present invention below, refer to Fig. 6, in the embodiment of the present invention, a kind of another embodiment of air-conditioner adaptive controller comprises:
Temperature collect module 601, the actual temperature value that the temperature sensor for obtaining this air-conditioner collects;
Design temperature acquisition module 602, for obtaining the set temperature value of user;
Deviate computing module 603, for calculating the deviate of this actual temperature value and this set temperature value;
Fuzzy quantity modular converter 604, for being converted into corresponding fuzzy quantity according to the fuzzy rule preset by this deviate;
Judge module 605, for judging whether this fuzzy quantity is less than this deviate;
Maintaining module 606, for when the judged result of this judge module 605 is for being, maintaining the present operating frequency of the compressor of this air-conditioner;
Trigger module 607, for when the judged result of this judge module 605 is no, triggers PID fuzzy control model 608;
This PID fuzzy control model 608 comprises:
Deviation variation rate computing unit 6081, for calculating the deviation variation rate corresponding with this deviate according to this actual temperature value with this set temperature value;
Emending frequency computing unit 6082, for obtaining emending frequency according to this deviate and this deviation variation rate by PI control algolithm and default fuzzy control rule;
Regulon 6083, for being adjusted to this emending frequency by the operating frequency of this compressor.
In the present embodiment, this emending frequency computing unit 6082 comprises:
Transformant unit 821, for being converted into the first corresponding fuzzy quantity and the second fuzzy quantity according to the fuzzy control rule preset by this deviate and this deviation variation rate;
Obtain subelement 822, for obtaining default fuzzy reasoning table;
Inquiry subelement 823, for inquiring about this fuzzy reasoning table, obtains first derived value corresponding with this first fuzzy quantity and this second fuzzy quantity and the second derived value;
Emending frequency computation subunit 824, for calculating this emending frequency according to this first derived value, the second derived value and this PI control algolithm.
In the present embodiment, this system also comprises:
Aperture amount and rotational speed regulation module 609, for the rotating speed of the aperture amount and outdoor DC fan that regulate the electric expansion valve of this air-conditioner according to this emending frequency.
In the present embodiment, this system also comprises:
Critical temperature value computing module 610, for calculating corresponding critical temperature value according to this set temperature value;
Temperature judge module 611, for judging whether this actual temperature value is less than this critical temperature value;
Deviation trigger module 612, for when the judged result of this temperature judge module 611 is for being, triggers this deviate computing module;
Maximum output module 613, for when the judged result of this temperature judge module 611 is no, controls this compressor and exports with peak frequency.
In the present embodiment, this system also comprises:
Expansion valve control module 614, for controlling this compressor at this maximum output module with while peak frequency output, the electric expansion valve controlling this air-conditioner carries out Automatic adjusument.
Those skilled in the art can be well understood to, and for convenience and simplicity of description, the system of foregoing description, the specific works process of device and unit, with reference to the corresponding process in preceding method embodiment, can not repeat them here.
In several embodiments that the application provides, should be understood that, disclosed system, apparatus and method, can realize by another way.Such as, device embodiment described above is only schematic, such as, the division of described unit, be only a kind of logic function to divide, actual can have other dividing mode when realizing, such as multiple unit or assembly can in conjunction with or another system can be integrated into, or some features can be ignored, or do not perform.Another point, shown or discussed coupling each other or direct-coupling or communication connection can be by some interfaces, and the INDIRECT COUPLING of device or unit or communication connection can be electrical, machinery or other form.
The described unit illustrated as separating component or can may not be and physically separates, and the parts as unit display can be or may not be physical location, namely can be positioned at a place, or also can be distributed on multiple NE.Some or all of unit wherein can be selected according to the actual needs to realize the object of the present embodiment scheme.
In addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit, also can be that the independent physics of unit exists, also can two or more unit in a unit integrated.Above-mentioned integrated unit both can adopt the form of hardware to realize, and the form of SFU software functional unit also can be adopted to realize.
If described integrated unit using the form of SFU software functional unit realize and as independently production marketing or use time, can be stored in a computer read/write memory medium.Based on such understanding, the part that technical scheme of the present invention contributes to prior art in essence in other words or all or part of of this technical scheme can embody with the form of software product, this computer software product is stored in a storage medium, comprising some instructions in order to make a computer equipment (can be personal computer, server, or the network equipment etc.) perform all or part of step of method described in each embodiment of the present invention.And aforesaid storage medium comprises: USB flash disk, portable hard drive, read-only storage (ROM, Read-OnlyMemory), random access memory (RAM, RandomAccessMemory), magnetic disc or CD etc. various can be program code stored medium.
The above, above embodiment only in order to technical scheme of the present invention to be described, is not intended to limit; Although with reference to previous embodiment to invention has been detailed description, those of ordinary skill in the art is to be understood that: it still can be modified to the technical scheme described in foregoing embodiments, or carries out equivalent replacement to wherein portion of techniques feature; And these amendments or replacement, do not make the essence of appropriate technical solution depart from the spirit and scope of various embodiments of the present invention technical scheme.

Claims (10)

1. an air-conditioner self-adaptation control method, is characterized in that, comprising:
The actual temperature value that the temperature sensor obtaining described air-conditioner collects;
Obtain the set temperature value of user;
Calculate the deviate of described actual temperature value and described set temperature value;
According to the fuzzy rule preset, described deviate is converted into corresponding fuzzy quantity;
Judge whether described fuzzy quantity is less than described deviate, if so, then maintain the present operating frequency of the compressor of described air-conditioner, if not, then carry out PID fuzzy control;
Described PID fuzzy control specifically comprises the following steps:
The deviation variation rate corresponding with described deviate is calculated with described set temperature value according to described actual temperature value;
Emending frequency is obtained by PI control algolithm and default fuzzy control rule according to described deviate and described deviation variation rate;
The operating frequency of described compressor is adjusted to described emending frequency.
2. method according to claim 1, is characterized in that, obtains emending frequency specifically comprise according to described deviate and described deviation variation rate by PI control algolithm and default fuzzy control rule:
According to the fuzzy control rule preset, described deviate and described deviation variation rate are converted into the first corresponding fuzzy quantity and the second fuzzy quantity;
Obtain the fuzzy reasoning table preset;
Inquire about described fuzzy reasoning table, obtain first derived value corresponding with described first fuzzy quantity and described second fuzzy quantity and the second derived value;
Described emending frequency is calculated according to described first derived value, the second derived value and described PI control algolithm.
3. method according to claim 1, is characterized in that, described PID fuzzy control is further comprising the steps of:
The aperture amount of the electric expansion valve of described air-conditioner and the rotating speed of outdoor DC fan is regulated according to described emending frequency.
4. according to the method in any one of claims 1 to 3, it is characterized in that, also comprise before calculating the deviate of described actual temperature value and described set temperature value:
Corresponding critical temperature value is calculated according to described set temperature value;
Judge whether described actual temperature value is less than described critical temperature value, if so, then perform the step of the deviate calculating described actual temperature value and described set temperature value, if not, then control described compressor and export with peak frequency.
5. method according to claim 4, is characterized in that, while the described compressor of control exports with peak frequency, the electric expansion valve controlling described air-conditioner carries out Automatic adjusument.
6. an air-conditioner adaptive control system, is characterized in that, comprising:
Temperature collect module, the actual temperature value that the temperature sensor for obtaining described air-conditioner collects;
Design temperature acquisition module, for obtaining the set temperature value of user;
Deviate computing module, for calculating the deviate of described actual temperature value and described set temperature value;
Fuzzy quantity modular converter, for being converted into corresponding fuzzy quantity according to the fuzzy rule preset by described deviate;
Judge module, for judging whether described fuzzy quantity is less than described deviate;
Maintaining module, for when the judged result of described judge module is for being, maintaining the present operating frequency of the compressor of described air-conditioner;
Trigger module, for when the judged result of described judge module is no, triggers PID fuzzy control model;
Described PID fuzzy control model comprises:
Deviation variation rate computing unit, for calculating the deviation variation rate corresponding with described deviate according to described actual temperature value with described set temperature value;
Emending frequency computing unit, for obtaining emending frequency according to described deviate and described deviation variation rate by PI control algolithm and default fuzzy control rule;
Regulon, for being adjusted to described emending frequency by the operating frequency of described compressor.
7. system according to claim 6, is characterized in that, described emending frequency computing unit comprises:
Transformant unit, for being converted into the first corresponding fuzzy quantity and the second fuzzy quantity according to the fuzzy control rule preset by described deviate and described deviation variation rate;
Obtain subelement, for obtaining default fuzzy reasoning table;
Inquiry subelement, for inquiring about described fuzzy reasoning table, obtains first derived value corresponding with described first fuzzy quantity and described second fuzzy quantity and the second derived value;
Emending frequency computation subunit, for calculating described emending frequency according to described first derived value, the second derived value and described PI control algolithm.
8. system according to claim 6, is characterized in that, described system also comprises:
Aperture amount and rotational speed regulation module, for the rotating speed of the aperture amount and outdoor DC fan that regulate the electric expansion valve of described air-conditioner according to described emending frequency.
9. the system according to any one of claim 6 to 8, is characterized in that, described system also comprises:
Critical temperature value computing module, for calculating corresponding critical temperature value according to described set temperature value;
Temperature judge module, for judging whether described actual temperature value is less than described critical temperature value;
Deviation trigger module, for when the judged result of described temperature judge module is for being, triggers described deviate computing module;
Maximum output module, for when the judged result of described temperature judge module is no, controls described compressor and exports with peak frequency.
10. system according to claim 9, is characterized in that, described system also comprises:
Expansion valve control module, for controlling described compressor at described maximum output module with while peak frequency output, the electric expansion valve controlling described air-conditioner carries out Automatic adjusument.
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