CN1598456A - Method for fuzzy control of frequency conversion refrigerator - Google Patents

Method for fuzzy control of frequency conversion refrigerator Download PDF

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Publication number
CN1598456A
CN1598456A CN 200410035480 CN200410035480A CN1598456A CN 1598456 A CN1598456 A CN 1598456A CN 200410035480 CN200410035480 CN 200410035480 CN 200410035480 A CN200410035480 A CN 200410035480A CN 1598456 A CN1598456 A CN 1598456A
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China
Prior art keywords
temperature
compressor
host cpu
rate
less
Prior art date
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Application number
CN 200410035480
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Chinese (zh)
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CN1273790C (en
Inventor
侯同尧
李砚泉
赵兴
张善房
刘兆祥
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Hisense Group Co Ltd
Hisense Shandong Refrigerator Co Ltd
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Hisense Group Co Ltd
Hisense Beijing Electric Co Ltd
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Priority to CN 200410035480 priority Critical patent/CN1273790C/en
Publication of CN1598456A publication Critical patent/CN1598456A/en
Application granted granted Critical
Publication of CN1273790C publication Critical patent/CN1273790C/en
Anticipated expiration legal-status Critical
Expired - Fee Related legal-status Critical Current

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Abstract

The invention relates to a control method for refrigerator, concretely, it relates to control method for a frequency variable refrigerator, the invention provides a control method which can adjust the temperature in each chamber in refrigerator according to the temperature change rate and target approaching rate and which has function of self study. The method uses the fuzzy calculation to correct each kind of parameter namely the self study function, and then carries on optimized control or self adaptable control according to the corrected parameter, the control method in the invention introduces temperature change rate and target approaching concept, the refrigerator can adjust the temperature change according to the rate.

Description

The frequency conversion refrigerator fuzzy control method
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 runs up simultaneously, returns 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 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, the rate of descent of accounting temperature, and whether the central value of measuring rate of descent is greater than mean value, 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 temperature difference convergence 0, then host CPU carries out speed governing to compressor, makes rate of descent convergence 0, 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. whether measure the temperature difference less than 0,, return step 10 if be not less than 0; 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 rotating 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, with regard to the start-up temperature compensator, continue 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 rate of descent, 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:
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 runs up simultaneously, returns 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 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, the rate of descent of accounting temperature, and whether the central value of measuring rate of descent is greater than mean value, 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 temperature difference convergence 0, then host CPU carries out speed governing to compressor, makes rate of descent convergence 0, 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. whether measure the temperature difference less than 0,, return step 10 if be not less than 0; 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 rotating 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.
CN 200410035480 2004-07-30 2004-07-30 Method for fuzzy control of frequency conversion refrigerator Expired - Fee Related CN1273790C (en)

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Application Number Priority Date Filing Date Title
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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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CN1273790C CN1273790C (en) 2006-09-06

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Cited By (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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
CN102843089A (en) * 2012-08-23 2012-12-26 四川长虹电器股份有限公司 Control method of permanent magnet synchronous motor (PMSM) for frequency conversion refrigerator
CN103398539A (en) * 2013-07-17 2013-11-20 海信容声(广东)冰箱有限公司 Refrigerator temperature controlling method utilizing approach parameters
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
CN103954095A (en) * 2014-05-23 2014-07-30 湖北东贝新能源有限公司 Fully intelligent inverter refrigerator control method
CN104913571A (en) * 2015-06-25 2015-09-16 合肥美的电冰箱有限公司 Variable frequency refrigerator and control method thereof
CN105222516A (en) * 2015-10-29 2016-01-06 青岛海尔股份有限公司 Refrigerator and control method thereof
CN109405408A (en) * 2018-10-18 2019-03-01 长虹美菱股份有限公司 A kind of fan motor rotational speed control method and the refrigerator using this method
CN111365938A (en) * 2020-03-20 2020-07-03 长虹美菱股份有限公司 Method for accurately controlling temperature of warm storage of independent refrigerating system chamber
CN114484970A (en) * 2020-10-23 2022-05-13 青岛海尔电冰箱有限公司 Refrigerator and control method thereof
CN117469869A (en) * 2023-12-26 2024-01-30 珠海格力电器股份有限公司 Compressor control method and device and refrigerator

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104329904B (en) * 2014-07-24 2017-01-11 青岛海尔股份有限公司 Refrigerator room temperature control method
KR102346550B1 (en) * 2017-07-05 2022-01-04 엘지전자 주식회사 Refrigerator and method for controlling the same

Cited By (20)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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
CN102843089A (en) * 2012-08-23 2012-12-26 四川长虹电器股份有限公司 Control method of permanent magnet synchronous motor (PMSM) for 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
CN103398539A (en) * 2013-07-17 2013-11-20 海信容声(广东)冰箱有限公司 Refrigerator temperature controlling method utilizing approach parameters
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
CN103954095A (en) * 2014-05-23 2014-07-30 湖北东贝新能源有限公司 Fully intelligent inverter 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
CN104913571A (en) * 2015-06-25 2015-09-16 合肥美的电冰箱有限公司 Variable frequency refrigerator and control method thereof
CN105222516A (en) * 2015-10-29 2016-01-06 青岛海尔股份有限公司 Refrigerator and control method thereof
CN109405408A (en) * 2018-10-18 2019-03-01 长虹美菱股份有限公司 A kind of fan motor rotational speed control method and the refrigerator using this method
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
CN111365938A (en) * 2020-03-20 2020-07-03 长虹美菱股份有限公司 Method for accurately controlling temperature of warm storage of independent refrigerating system chamber
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
CN114484970A (en) * 2020-10-23 2022-05-13 青岛海尔电冰箱有限公司 Refrigerator and control method thereof
CN114484970B (en) * 2020-10-23 2023-11-07 青岛海尔电冰箱有限公司 Refrigerator and control method thereof
CN117469869A (en) * 2023-12-26 2024-01-30 珠海格力电器股份有限公司 Compressor control method and device and refrigerator
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

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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

C41 Transfer of patent application or patent right or utility model
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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.

CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20060906

Termination date: 20160730

CF01 Termination of patent right due to non-payment of annual fee