CN1273790C - Method for fuzzy control of frequency conversion refrigerator - Google Patents
Method for fuzzy control of frequency conversion refrigerator Download PDFInfo
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- CN1273790C CN1273790C CN 200410035480 CN200410035480A CN1273790C CN 1273790 C CN1273790 C CN 1273790C CN 200410035480 CN200410035480 CN 200410035480 CN 200410035480 A CN200410035480 A CN 200410035480A CN 1273790 C CN1273790 C CN 1273790C
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Abstract
The present invention relates to a refrigerator control method, particularly to a control method for frequency conversion refrigerators. The present invention provides a refrigerator control method which can regulate the temperature of all chambers of refrigerators according to the temperature change rate and the target proximity of all chambers of the refrigerators and has a self study function. A self study function and adaptive control are applied to the method. All parameters are corrected by fuzzy clustering calculation, namely the self study function, and then, optimized control is carried out for the refrigerators according to the corrected parameters, namely the adaptive control. The control method of the present invention introduces the concepts of the temperature change rate and the target proximity, and the refrigerators can regulate the temperature change of the refrigerators according to the temperature change rate.
Description
Technical field
The present invention relates to a kind of control method of refrigerator, specifically, relate to a kind of control method of frequency conversion refrigerator.
Background technology
Frequency conversion refrigerator of the prior art generally all comprises: host CPU, frequency-changeable compressor, temperature sensor or the like, detect by the temperature of temperature sensor refrigerating chamber or refrigerating chamber, if, between the temperature of chamber be lower than design temperature, it can be according to the output of temperature extent control cold, like this, though saved the energy to a certain extent, but frequency conversion refrigerator in the prior art also can't be regulated temperature according to the rate of temperature change of each chamber of refrigerator owing to just carry out adjustment according to the size of each indoor temperature change generated in case.
Summary of the invention
The invention provides and a kind ofly can regulate and have the control method of refrigerator of self-learning function according to the rate of temperature change of each chamber of refrigerator and the temperature to each chamber of refrigerator of the target degree of approach.
Technical scheme of the present invention is such: having used each parameter of fuzzy clustering calculating correction in this method is self-learning function, and according to the parameter of revising refrigerator being optimized control then is Self Adaptive Control, and it comprises the following steps:
1. energising, the refrigerator system initialization;
2. host CPU calculating design temperature and observed temperature are poor;
3. if the detected temperature difference of step 2 is greater than normal control temperature, then blower fan runs up, and compressor also simultaneously
Run up, return the beginning of this step; If the temperature difference is not more than normal control range, just enter into step 4;
4. it is poor that host CPU detects room temperature, if less than 0, host CPU is just controlled compressor shutdown, detects observed temperature then and whether be lower than predefined protection temperature, adds expansion loop if be lower than just to start, and gets back to predefined protection temperature detection then; If be not less than predefined protection temperature, host CPU is just controlled blower fan and is shut down, and enters into step 12 then; If be not less than 0, then enter step 5;
5. whether host CPU control detection compressor moves, if compressor does not move, then enters step 12; If compressor operating then enters step 6;
6. temperature sensor is sampled to an indoor temperature, and the rate of descent of accounting temperature is measured the mean value whether central value of rate of descent descends greater than temperature, if big, host CPU is just controlled compressor and blower fan reduction of speed, returns step 6 then; If be not more than, then enter step 7;
7. whether the central value that detects rate of descent is less than 0, if less than 0, host CPU control compressor raising speed fan speed increasing is got back to step 6 then; If be not less than 0, then enter step 8;
8. host CPU just carries out fuzzy clustering calculating and correction to temperature lapse rate Center Parameter and boundary parameter, stores correction value, enters into step 9 then;
9. whether detect sample temperature near target temperature,, return step 9 if keep off; If approaching, and the temperature difference convergence 0 of sample temperature and target temperature, then host CPU carries out speed governing to compressor, makes rate of descent convergence 0, keeps the temperature difference convergence 0 of sample temperature and target temperature, enters step 10 then;
10. carry out fuzzy clustering and calculate, revise the compressor and the rotation speed of fan that keep temperature under this temperature recovery rate, and store correction value, enter step 11 then;
11. the temperature difference of measuring sample temperature and target temperature whether less than 0, if be not less than 0, is returned step 10; If less than 0, compressor shutdown enters step 12;
12. host CPU detects the climbing speed of sample temperature, whether the climbing speed that detects sample temperature then is greater than the mean value of temperature rate-of-rise, if greater than, host CPU just starts compressor and controls compressor and move under the insulation exploitation speed corresponding with this temperature rate-of-rise, enters step 6 then; If be not more than, then enter step 13;
13. it is the temperature recovery time that host CPU just calculates the heat windage, carries out fuzzy clustering then and calculates correction specific temperature rise Center Parameter and boundary parameter, gets back to step 2 then.
Control method of the present invention has been introduced the notion of the rate of temperature change and the target degree of approach, and refrigerator can be regulated the variations in temperature of refrigerator according to rate of temperature change.
Description of drawings
Fig. 1 is the flow diagram of the inventive method.
The specific embodiment
Referring to accompanying drawing, control method of refrigerator of the present invention is such, at first switch on to refrigerator, the host CPU of refrigerator carries out initialization to refrigerator, and temperature sensor begins to measure the temperature of each chamber in the refrigerator and calculates design temperature and temperature that actual measurement obtains poor then, whether detects the temperature difference subsequently greater than normal control range, if greater than, blower fan just runs up, and compressor also runs up, and continues to measure the temperature of each chamber then; If the temperature difference is not more than normal control temperature range and whether just measures the temperature difference less than 0.
If the temperature difference of measuring is less than 0, host CPU is just controlled compressor shutdown, whether detects sample temperature then less than predefined protection temperature, if less than, just startup adds expansion loop, continues then to detect; If be not less than, host CPU control blower fan is shut down, the climbing speed of calculating sampling temperature then, whether detect the sample temperature climbing speed greater than temperature rate-of-rise mean value, if be not more than, just calculating the heat windage is the temperature recovery time, carries out fuzzy clustering then and calculates correction specific temperature rise Center Parameter and boundary parameter, gets back to then to begin temperature is sampled; If the temperature rate-of-rise that detects refrigerator is greater than mean value, host CPU just starts compressor, and make under the compressor insulation running speed corresponding and turn round with this climbing, and then temperature sampled, the rate of descent of accounting temperature is measured the mean value whether central value of decrease of temperature rate descends greater than temperature, if greater than, host CPU is just controlled compressor and blower fan reduction of speed, continues then temperature is sampled; If the central value of sample temperature is not more than the mean value that temperature descends, if just measure central value whether less than 0 less than 0, host CPU is just controlled compressor and blower fan raising speed, continues then temperature is sampled; Whether if central value is not less than 0, host CPU just carries out fuzzy clustering and calculates and revise temperature lapse rate Center Parameter and boundary parameter, and stores, and whether measure the central value temperature then approaching with target temperature, if keep off, just continue to detect near target temperature; If approaching with target temperature, whether the difference of measuring sample temperature and target temperature levels off to 0, and regulates the speed of compressor, make the decrease of temperature rate level off to 0, carry out fuzzy clustering then and calculate, revise the compressor of maintenance temperature under this temperature recovery rate and the rotating speed of blower fan, and store, whether measure the temperature difference then less than 0, if less than 0, just shut down, detect compressor then and whether move, and then temperature sampled and the accounting temperature climbing, carry out step above-mentioned again; If the temperature difference is not less than 0, calculate with regard to continuing that the temperature of refrigerator is carried out fuzzy clustering, revise the compressor of maintenance temperature under this temperature recovery rate and the rotating speed of blower fan.
If the difference of temperature that measures and design temperature is not less than 0, just measure compressor and whether move, if do not move, just measure the climbing speed of sample temperature, carry out step same as described above then; If compressor in operation, carry out then with the above-mentioned temperature difference less than 0 o'clock, temperature is sampled and the following step of accounting temperature rate of descent.
Using the fuzzy clustering computational methods in the control method of the present invention comes the temperature of refrigerator is controlled, thereby introduced the notion of the rate of temperature change and the target degree of approach, can react at once, be very beneficial for the refrigeration of food in the refrigerator and freezing the variations in temperature in the refrigerator.
VFC can change the refrigerating capacity of refrigerator with demand.And the notion of the rate of temperature change (acceleration) and the target degree of approach has been introduced in fuzzy control.Below be the control under different situations:
A. normal temperature control
If the temperature difference is very big, the press high-speed cruising makes food cool to humidity province near target temperature rapidly.According to each each speed of room temperature degree rate of change, adjust press speed and make the soft target temperature that reaches exactly of each room temperature degree then near target temperature.
B. abnormal temperature control
Rise rate unusual (putting hot food into) startup immediately if detect temperature, and the temperature rise that food is brought according to inhibition temperature rise situation adjusting rotating speed is suppressed.
Claims (1)
1, a kind of frequency conversion refrigerator fuzzy control method is characterized in that: having used each parameter of fuzzy clustering calculating correction in this method is self-learning function, and according to the parameter of revising refrigerator being optimized control then is Self Adaptive Control, and it comprises the following steps:
A. energising, the refrigerator system initialization;
B. host CPU calculating design temperature and observed temperature are poor;
If C. the detected temperature difference of step B is greater than normal control temperature, then blower fan runs up, and compressor also runs up simultaneously, returns the beginning of this step; If the temperature difference is not more than normal control range, just enter into step D;
D. it is poor that host CPU detects room temperature, if less than 0, host CPU is just controlled compressor shutdown, detects observed temperature then and whether be lower than predefined protection temperature, adds expansion loop if be lower than just to start, and gets back to predefined protection temperature detection then; If be not less than predefined protection temperature, host CPU is just controlled blower fan and is shut down, and enters into step L then; If be not less than 0, then enter step e;
E. whether host CPU control detection compressor moves, if compressor does not move, then enters step L; If compressor operating then enters step F;
F. temperature sensor is sampled to an indoor temperature, and the rate of descent of accounting temperature is measured the mean value whether central value of rate of descent descends greater than temperature, if big, host CPU is just controlled compressor and blower fan reduction of speed, returns step F then; If be not more than, then enter step G;
Whether the central value that G. detects rate of descent is less than 0, if less than 0, host CPU control compressor raising speed fan speed increasing is got back to step F then; If be not less than 0, then enter step H;
H. host CPU just carries out fuzzy clustering calculating and correction to temperature lapse rate Center Parameter and boundary parameter, stores correction value, enters into step I then;
I. whether detect sample temperature near target temperature,, return step I if keep off; If approaching, and the temperature difference convergence 0 of sample temperature and target temperature, then host CPU carries out speed governing to compressor, makes rate of descent convergence 0, keeps the temperature difference convergence 0 of sample temperature and target temperature, enters step J then;
J. carry out fuzzy clustering and calculate, revise the compressor and the rotation speed of fan that keep temperature under this temperature recovery rate, and store correction value, enter step K then;
K. whether the temperature difference of measuring sample temperature and target temperature if be not less than 0, returns step J less than 0; If less than 0, compressor shutdown enters step L;
L. host CPU detects the climbing speed of sample temperature, whether the climbing speed that detects sample temperature then is greater than the mean value of temperature rate-of-rise, if greater than, host CPU just starts compressor and controls compressor and move under the insulation exploitation speed corresponding with this temperature rate-of-rise, enters step F then; If be not more than, then enter step M;
M. just to calculate the heat windage be the temperature recovery time to host CPU, carries out fuzzy clustering then and calculate and revise specific temperature rise Center Parameter and boundary parameter, gets back to step B then.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 200410035480 CN1273790C (en) | 2004-07-30 | 2004-07-30 | Method for fuzzy control of frequency conversion refrigerator |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 200410035480 CN1273790C (en) | 2004-07-30 | 2004-07-30 | Method for fuzzy control of frequency conversion refrigerator |
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| Publication Number | Publication Date |
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| CN1598456A CN1598456A (en) | 2005-03-23 |
| CN1273790C true CN1273790C (en) | 2006-09-06 |
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| CN 200410035480 Expired - Fee Related CN1273790C (en) | 2004-07-30 | 2004-07-30 | Method for fuzzy control of frequency conversion refrigerator |
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| CN (1) | CN1273790C (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104329904A (en) * | 2014-07-24 | 2015-02-04 | 青岛海尔股份有限公司 | Refrigerator room temperature control method |
| EP3649416A4 (en) * | 2017-07-05 | 2021-04-07 | LG Electronics Inc. | Refrigerator and method of controlling the same |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN100378420C (en) * | 2005-09-13 | 2008-04-02 | 海信集团有限公司 | Variable frequency refrigerator and control method thereof |
| CN100416196C (en) * | 2005-09-23 | 2008-09-03 | 海信（北京）电器有限公司 | Air-cooled variable frequency refrigerator and its control method |
| CN101545706B (en) * | 2008-03-24 | 2012-01-04 | 海尔集团公司 | Method for controlling frequency conversion of frequency conversion refrigerator |
| CN102843089B (en) * | 2012-08-23 | 2014-11-05 | 四川长虹电器股份有限公司 | Control method of permanent magnet synchronous motor (PMSM) for frequency conversion refrigerator |
| CN103398539B (en) * | 2013-07-17 | 2015-07-29 | 海信容声(广东)冰箱有限公司 | A kind of refrigerator temperature control method utilizing approaching parameter |
| CN103448589A (en) * | 2013-08-09 | 2013-12-18 | 浙江吉利汽车研究院有限公司 | Fuzzy control based intelligent car seat heating control system and method |
| CN103954095B (en) * | 2014-05-23 | 2015-11-11 | 湖北东贝新能源有限公司 | A kind of full intelligent frequency conversion refrigerator control method |
| CN104913571B (en) * | 2015-06-25 | 2017-09-19 | 合肥美的电冰箱有限公司 | The control method of frequency conversion refrigerator and frequency conversion refrigerator |
| CN105222516A (en) * | 2015-10-29 | 2016-01-06 | 青岛海尔股份有限公司 | Refrigerator and control method thereof |
| CN109405408B (en) * | 2018-10-18 | 2021-01-01 | 长虹美菱股份有限公司 | Fan motor rotating speed control method and refrigerator applying same |
| CN111365938B (en) * | 2020-03-20 | 2021-07-16 | 长虹美菱股份有限公司 | Method for accurately controlling temperature of warm storage of independent refrigerating system chamber |
| CN114484970B (en) * | 2020-10-23 | 2023-11-07 | 青岛海尔电冰箱有限公司 | Refrigerator and control method thereof |
| CN117469869B (en) * | 2023-12-26 | 2024-03-19 | 珠海格力电器股份有限公司 | Compressor control method and device and refrigerator |
-
2004
- 2004-07-30 CN CN 200410035480 patent/CN1273790C/en not_active Expired - Fee Related
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104329904A (en) * | 2014-07-24 | 2015-02-04 | 青岛海尔股份有限公司 | Refrigerator room temperature control method |
| CN104329904B (en) * | 2014-07-24 | 2017-01-11 | 青岛海尔股份有限公司 | Refrigerator room temperature control method |
| EP3649416A4 (en) * | 2017-07-05 | 2021-04-07 | LG Electronics Inc. | Refrigerator and method of controlling the same |
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| Publication number | Publication date |
|---|---|
| CN1598456A (en) | 2005-03-23 |
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| C14 | Grant of patent or utility model | ||
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Owner name: HISENSE (SHANDONG) REFRIGERATOR CO., LTD. Free format text: FORMER OWNER: HISENSE (BEIJING) ELECTRICAL EQUIPMENT CO., LTD. Effective date: 20131225 |
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Effective date of registration: 20131225 Address after: Donghai West Road 266071 Shandong city of Qingdao province No. 17 Patentee after: Hisense Group Co., Ltd. Patentee after: Hisense (Shandong) refrigerator Co., Ltd. Address before: Donghai West Road 266071 Shandong city of Qingdao province No. 17 Patentee before: Hisense Group Co., Ltd. Patentee before: Hisense (Beijing) Electric Co., Ltd. |
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| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20060906 Termination date: 20160730 |