CN106322914B - A kind of fuzzy control method of refrigerator frequency-changeable compressor revolving speed - Google Patents
A kind of fuzzy control method of refrigerator frequency-changeable compressor revolving speed Download PDFInfo
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- CN106322914B CN106322914B CN201610907675.3A CN201610907675A CN106322914B CN 106322914 B CN106322914 B CN 106322914B CN 201610907675 A CN201610907675 A CN 201610907675A CN 106322914 B CN106322914 B CN 106322914B
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
- F25D—REFRIGERATORS; COLD ROOMS; ICE-BOXES; COOLING OR FREEZING APPARATUS NOT OTHERWISE PROVIDED FOR
- F25D29/00—Arrangement or mounting of control or safety devices
- F25D29/003—Arrangement or mounting of control or safety devices for movable devices
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
- F25D—REFRIGERATORS; COLD ROOMS; ICE-BOXES; COOLING OR FREEZING APPARATUS NOT OTHERWISE PROVIDED FOR
- F25D2500/00—Problems to be solved
- F25D2500/04—Calculation of parameters
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
- F25D—REFRIGERATORS; COLD ROOMS; ICE-BOXES; COOLING OR FREEZING APPARATUS NOT OTHERWISE PROVIDED FOR
- F25D2700/00—Means for sensing or measuring; Sensors therefor
- F25D2700/12—Sensors measuring the inside temperature
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- Devices That Are Associated With Refrigeration Equipment (AREA)
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Abstract
The invention discloses a kind of fuzzy control methods of refrigerator frequency-changeable compressor revolving speed, comprising the following steps: A, calculates the actual temperature of freezer compartment of refrigerator and the difference of set temperature and the difference change rate in the neighbouring sample period；B, freezing chamber temperature signal and freezing chamber difference variation rate signal are set as the input signal of fuzzy control, compressor frequency changes the output signal that a great deal of is fuzzy control；C, the fuzzy set and subordinating degree function of freezing chamber temperature signal and freezing chamber difference variation rate signal are determined；D, determine that compressor frequency changes considerable amount of fuzzy set and each fuzzy set parameter；E, considerable amount of each output valve is changed according to the Fuzzy rules acquisi tion compressor frequency for formulating fuzzy control；F, ambiguity solution operation is carried out to the considerable amount of each output valve of compressor frequency variation, calculates compressor and requires running frequency.The present invention realizes quick, the accurate control of refrigerator temperature, greatly optimizes the refrigeration performance of frequency conversion refrigerator.
Description
Technical field
The present invention relates to electrical refrigeration technology field more particularly to a kind of fuzzy control sides of refrigerator frequency-changeable compressor revolving speed
Method.
Background technique
Frequency-changeable compressor is to continuously adjust revolving speed by the way that the realization of certain control mode is a certain range of, continuous to change output
The compressor of energy.At present the household electrical appliances such as refrigerator generally use frequency-changeable compressor carry out temperature regulation and control, frequency-changeable compressor by
The motor speed of frequency-variable controller control driving compressor, frequency is higher, and revolving speed is also higher, and the cooling capacity of output is bigger.Existing change
Although actual temperature that the control method that frequency controller uses can be realized refrigerator changes with set temperature and is finally reached setting
Temperature, but generally require multiple frequency conversion and can just reach target, the adjustment process time is longer, and energy consumption is larger, leads to refrigerator power consumption
Greatly, refrigeration performance is poor.
Summary of the invention
The purpose of the present invention is to provide a kind of fuzzy control methods of refrigerator frequency-changeable compressor revolving speed, can be in low energy
Quick, the accurate control of refrigerator temperature is realized in the case where consumption, low noise,
To achieve the above object, the technical solution adopted by the present invention is that:
A kind of fuzzy control method of refrigerator frequency-changeable compressor revolving speed, comprising the following steps:
A, sampling period TSAMP is set, every the actual temperature T of the freezer compartment of refrigerator of acquisition in TSAMP seconds, and calculates reality
Border temperature T and set temperature T0Difference, remember Δ Tn=T-T0, subscript n=1,2 ... ..., note d Δ Tn=Δ Tn-ΔTn-1, then
Enter step B；
B, freezing chamber temperature difference constant CDD and freezing chamber difference variation rate constant CDDD is set, by freezing chamber temperature signal Δ
Dt=CDD Δ TnWith freezing chamber difference variation rate signal d Δ Dt=CDDDd Δ TnIt, will as the input signal of fuzzy control
Compressor frequency changes output signal of a great deal of Δ F as fuzzy control, subsequently into step C:
C, Fuzzy processing is carried out to the input signal of fuzzy control, defines freezing chamber temperature signal Δ DtWith freezing room temperature
Poor change rate signal d Δ DtFuzzy set be it is honest, just small, zero become, bear it is small and negative big, using Triangleshape grade of membership function
Method is respectively to freezing chamber temperature signal Δ DtWith freezing chamber difference variation rate signal d Δ DtIt is honest, just small, zero become, bear it is small and negative
Big fuzzy set establishes subordinating degree function, according to freezing chamber temperature signal Δ DtWith freezing chamber difference variation rate signal d Δ DtNumber
Value determines its degree of membership in corresponding fuzzy set conjunction, and each degree of membership by value not equal to 0 is successively denoted as μi, i=1,
2,3 ... ..., subsequently into step D:
D, the fuzzy set for defining compressor frequency variation a great deal of Δ F is respectively honest, it is just small, just slight, zero become, be negative
It is slight, bear small and negative big, BIGP is the honest fuzzy set parameter that compressor frequency changes a great deal of Δ F, and SMALLP is compression
Unit frequency changes the just small fuzzy set parameter of a great deal of Δ F, and VSMALLP is that compressor frequency changes the just small of a great deal of Δ F
Small fuzzy set parameter, NOCHANGE are that compressor frequency changes the zero of a great deal of Δ F and fogs lumped parameter, and VSMALLN is
Compressor frequency variation a great deal of Δ F's bears slight fuzzy set parameter, and SMALLN is that compressor frequency changes a great deal of Δ F's
Small fuzzy set parameter is born, BIGN is the negative parameter of fuzzy set greatly that compressor frequency changes a great deal of Δ F, subsequently into step
E:
E, with freezing chamber temperature signal Δ DtWith freezing chamber difference variation rate signal d Δ DtFuzzy set as control become
Amount defines mould using IF-THEN format using the fuzzy set parameter of compressor frequency variation a great deal of Δ F as output variable
The fuzzy rule for pasting control, according to freezing chamber temperature signal Δ DtWith freezing chamber difference variation rate signal d Δ DtAffiliated fuzzy set
It closes and determines applicable fuzzy rule, and each output valve of compressor frequency variation a great deal of Δ F is successively denoted as Δ Fi, Δ Fi
Subscript respectively with freezing chamber temperature signal Δ DtWith freezing chamber difference variation rate signal d Δ DtIn its affiliated fuzzy set
Degree of membership μiSubscript be equal to each other, subsequently into step F；
F, to each output valve Δ F of compressor frequency variation a great deal of Δ FiAmbiguity solution calculating is carried out, Fuzzy Control is obtained
The real output value of systemCompressor requires running frequency=compressor to show running frequency+real output value
WA × CFOUT, CFOUT is constant in formula.
It is freezing chamber temperature signal Δ D that POSB is defined in the step CtHonest fuzzy set parameter, POSS be it is cold
Freeze room temperature difference signal Δ DtJust small fuzzy set parameter, ZERO be freezing chamber temperature signal Δ DtZero fog lumped parameter,
NEGS is freezing chamber temperature signal Δ DtBear small fuzzy set parameter, NEGB is freezing chamber temperature signal Δ DtIt is negative big fuzzy
Lumped parameter, freezing chamber temperature signal Δ DtThe subordinating degree function of honest fuzzy set are as follows:
Freezing chamber temperature signal Δ DtThe subordinating degree function of just small fuzzy set are as follows:
Freezing chamber temperature signal Δ DtZero subordinating degree function for fogging set are as follows:
Freezing chamber temperature signal Δ DtBear the subordinating degree function of small fuzzy set are as follows:
Freezing chamber temperature signal Δ DtBear the subordinating degree function of big fuzzy set are as follows:
It is freezing chamber difference variation rate signal d Δ D that POSBD is defined in the step CtHonest fuzzy set parameter,
POSSD is freezing chamber difference variation rate signal d Δ DtJust small fuzzy set parameter, ZEROD be freezing chamber difference variation rate letter
Number d Δ DtZero fog lumped parameter, NEGSD is freezing chamber difference variation rate signal d Δ DtBear small fuzzy set parameter,
NEGBD is freezing chamber difference variation rate signal d Δ DtNegative big fuzzy set parameter, freezing chamber difference variation rate signal d Δ DtJust
The subordinating degree function of big fuzzy set are as follows:
Freezing chamber difference variation rate signal d Δ DtThe subordinating degree function of just small fuzzy set are as follows:
Difference variation rate signal d Δ D is stopped up in freezingtZero subordinating degree function for fogging set are as follows:
Freezing chamber difference variation rate signal d Δ DtBear the subordinating degree function of small fuzzy set are as follows:
Freezing chamber difference variation rate signal d Δ DtBear the subordinating degree function of big fuzzy set are as follows:
Fuzzy rule includes following ten in the step E:
1. IF freezing chamber temperature signal Δ DtTo be honest, it is BIGP that THEN compressor frequency, which changes a great deal of Δ F,；
2. IF freezing chamber temperature signal Δ DtIt is positive small, it is SMALLP that THEN compressor frequency, which changes a great deal of Δ F,；
3. IF freezing chamber temperature signal Δ DtIt is zero change, it is NOCHANGE that THEN compressor frequency, which changes a great deal of Δ F,；
4. IF freezing chamber temperature signal Δ DtIt is negative small, it is SMALLN that THEN compressor frequency, which changes a great deal of Δ F,；
5. IF freezing chamber temperature signal Δ DtIt is negative big, it is BIGN that THEN compressor frequency, which changes a great deal of Δ F,；
6. IF freezing chamber difference variation rate signal d Δ DtTo be honest, THEN compressor frequency variation a great deal of Δ F is
SMALLP；
7. IF freezing chamber difference variation rate signal d Δ DtIt is positive small, THEN compressor frequency variation a great deal of Δ F is
VSMALLP；
8. IF freezing chamber difference variation rate signal d Δ DtIt is zero change, THEN compressor frequency variation a great deal of Δ F is
NOCHANGE；
9. IF freezing chamber difference variation rate signal d Δ DtIt is negative small, THEN compressor frequency variation a great deal of Δ F is
VSMALLN；
10. IF freezing chamber difference variation rate signal d Δ DtIt is negative big, THEN compressor frequency variation a great deal of Δ F is
SMALLN。
Freezing chamber temperature signal Δ D in the step DtHonest fuzzy set parameter POSB, just small fuzzy set ginseng
Number POSS, zero fog lumped parameter ZERO, bear small fuzzy set parameter NEGS and bear big fuzzy set parameter NEGB be equal difference
Ordered series of numbers.
Freezing chamber difference variation rate signal d Δ D in the step DtHonest fuzzy set parameter POSBD, just small mould
Paste lumped parameter POSSD, zero fog lumped parameter ZEROD, bear small fuzzy set parameter NEGSD and bear big fuzzy set parameter
NEGBD is arithmetic progression.
The present invention carries out fining adjusting to compressor rotary speed using the control method of optimization, by by the freezing chamber of refrigerator
The input signal of temperature signal and freezing chamber difference variation rate signal as fuzzy control, the temperature change of real-time monitoring refrigerator；
Blurring input is obtained by the subordinating degree function of unique design, calculates blurring output using fuzzy rule, it is last according to not
Same type machine controls reality output, makes freezer compressor frequency smooth change, and will not both shut down because of frequent raising frequency frequency reducing causes to increase
Add energy consumption, and refrigerator can be made to be rapidly achieved set temperature and maintain stable temperature, greatly optimizes the refrigeration of frequency conversion refrigerator
Energy.
Detailed description of the invention
Fig. 1 is flow diagram of the invention；
Fig. 2 is freezing chamber temperature signal Δ D of the present inventiontSubordinating degree function figure；
Fig. 3 is freezing chamber difference variation rate signal d Δ D of the present inventiontSubordinating degree function figure；
Fig. 4 is freezing chamber temperature signal Δ D in the embodiment of the present inventiontSubordinating degree function figure；
Fig. 5 is freezing chamber difference variation rate signal d Δ D in the embodiment of the present inventiontSubordinating degree function figure.
Specific embodiment
As shown in Figure 1, the fuzzy control method of refrigerator frequency-changeable compressor revolving speed of the present invention, comprising the following steps:
A, sampling period TSAMP is set, every the actual temperature T of the freezer compartment of refrigerator of acquisition in TSAMP seconds, and calculates reality
Border temperature T and set temperature T0Difference, remember Δ Tn=T-T0, subscript n=1,2 ... ..., note d Δ Tn=Δ Tn-ΔTn-1, sampling
The value range of cycle T SAMP is 0~255s.
B, freezing chamber temperature difference constant CDD and freezing chamber difference variation rate constant CDDD is set, respectively by Δ Dt=CDD Δ
TnWith d Δ Dt=CDDDd Δ TnAs the input signal of fuzzy control, using compressor frequency variation a great deal of Δ F as fuzzy
The output signal of control.Freezing chamber temperature difference constant CDD and freezing chamber difference variation rate constant CDDD are for changing the freezing chamber temperature difference
Parameter specific gravity with freezing chamber difference variation rate as input signal is conducive to the precision for improving refrigerator temperature control, the two
Value range is 0~255.
C, Fuzzy processing is carried out to the input signal of fuzzy control, defines freezing chamber temperature signal Δ DtFuzzy set
It is respectively honest, just small, zero become, bear small and negative big, POSB is freezing chamber temperature signal Δ DtHonest fuzzy set parameter,
POSS is freezing chamber temperature signal Δ DtJust small fuzzy set parameter, ZERO be freezing chamber temperature signal Δ DtZero fog
Lumped parameter, NEGS are freezing chamber temperature signal Δ DtBear small fuzzy set parameter, NEGB is freezing chamber temperature signal Δ Dt's
Bear big fuzzy set parameter.
Freezing chamber temperature signal Δ D of the present inventiontHonest fuzzy set parameter POSB, just small fuzzy set parameter POSS,
Zero fog lumped parameter ZERO, bear small fuzzy set parameter NEGS and bear big fuzzy set parameter NEGB and constitute arithmetic progression,
The value range of honest fuzzy set parameter POSB and just small fuzzy set parameter POSS are 0~100, and zero fogs lumped parameter
The value range of ZERO is -100~100, bears small fuzzy set parameter NEGS and bears the value model of big fuzzy set parameter NEGB
Enclosing is -100~0, and the specific value of the above parameters can be determined according to the temperature control system of the frequency conversion refrigerator of different type of machines.
As shown in Fig. 2, freezing chamber temperature signal Δ D of the present inventiontThe subordinating degree function of honest fuzzy set indicates are as follows:
Freezing chamber temperature signal Δ DtThe subordinating degree function of just small fuzzy set indicates are as follows:
Freezing chamber temperature signal Δ DtZero subordinating degree function for fogging set indicates are as follows:
Freezing chamber temperature signal Δ DtThe subordinating degree function for bearing small fuzzy set indicates are as follows:
Freezing chamber temperature signal Δ DtThe subordinating degree function for bearing big fuzzy set indicates are as follows:
Similarly, freezing chamber difference variation rate signal d Δ D is definedtFuzzy set it is respectively honest, it is just small, zero become, bear it is small
Big with bearing, POSBD is freezing chamber difference variation rate signal d Δ DtHonest fuzzy set parameter, POSSD be the freezing chamber temperature difference become
Rate signal d Δ DtJust small fuzzy set parameter, ZEROD be freezing chamber difference variation rate signal d Δ DtZero fog set
Parameter, NEGSD are freezing chamber difference variation rate signal d Δ DtBear small fuzzy set parameter, NEGBD is freezing chamber difference variation
Rate signal d Δ DtNegative big fuzzy set parameter.
Freezing chamber difference variation rate signal d Δ D of the present inventiontHonest fuzzy set parameter POSBD, just small fuzzy set ginseng
Number POSSD, zero fog lumped parameter ZEROD, bear small fuzzy set parameter NEGSD and bear big fuzzy set parameter NEGBD structure
At arithmetic progression, the value range of honest fuzzy set parameter POSBD and just small fuzzy set parameter POSSD are 0~100, zero
The value range of lumped parameter ZEROD of fogging is -100~100, bears and small fuzzy set parameter NEGSD and bears big fuzzy set
The value range of parameter NEGBD is -100~0, and the specific value of the above parameters can be according to the frequency conversion refrigerator of different type of machines
Temperature control system determine.
As shown in figure 3, freezing chamber difference variation rate signal d Δ D of the present inventiontThe subordinating degree function of honest fuzzy set indicates
Are as follows:
Freezing chamber difference variation rate signal d Δ DtThe subordinating degree function of just small fuzzy set indicates are as follows:
Freezing chamber difference variation rate signal d Δ DtZero subordinating degree function for fogging set indicates are as follows:
Freezing chamber difference variation rate signal d Δ DtThe subordinating degree function for bearing small fuzzy set indicates are as follows:
Freezing chamber difference variation rate signal d Δ DtThe subordinating degree function for bearing big fuzzy set indicates are as follows:
According to freezing chamber temperature signal Δ DtWith freezing chamber difference variation rate signal d Δ DtNumerical value determine the mould belonging to it
Paste set, and its degree of membership in corresponding fuzzy set conjunction is calculated according to above-mentioned subordinating degree function, value is each not equal to 0
Degree of membership is successively denoted as μi, i=1,2,3 ... ....
D, the fuzzy set for defining compressor frequency variation a great deal of Δ F is respectively honest, it is just small, just slight, zero become, be negative
It is slight, bear small and negative big, BIGP is the honest fuzzy set parameter that compressor frequency changes a great deal of Δ F, and SMALLP is compression
Unit frequency changes the just small fuzzy set parameter of a great deal of Δ F, and VSMALLP is that compressor frequency changes the just small of a great deal of Δ F
Small fuzzy set parameter, NOCHANGE are that compressor frequency changes the zero of a great deal of Δ F and fogs lumped parameter, and VSMALLN is
Compressor frequency variation a great deal of Δ F's bears slight fuzzy set parameter, and SMALLN is that compressor frequency changes a great deal of Δ F's
Small fuzzy set parameter is born, BIGN is the negative parameter of fuzzy set greatly that compressor frequency changes a great deal of Δ F.
Compressor frequency change the honest fuzzy set parameter BIGP of a great deal of Δ F, just small fuzzy set parameter SMALLP,
Just slight fuzzy set parameter VSMALLP, zero fog lumped parameter NOCHANGE, bear slight fuzzy set parameter VSMALLN,
It bears small fuzzy set parameter SMALLN and bears big fuzzy set parameter BIGN and be sequentially reduced, honest fuzzy set parameter BIGP, just
The value range of small fuzzy set parameter SMALLP and just slight fuzzy set parameter VSMALLP are 0~200, and zero fogs collection
The value range for closing parameter NOCHANGE is -100~100, bears slight fuzzy set parameter VSMALLN, bears small fuzzy set ginseng
Number SMALLN and the value range for bearing big fuzzy set parameter BIGN are -128~0.
E, with freezing chamber temperature signal Δ DtWith freezing chamber difference variation rate signal d Δ DtFuzzy set as control become
Amount defines mould using IF-THEN format using the fuzzy set parameter of compressor frequency variation a great deal of Δ F as output variable
The fuzzy rule of control is pasted, the fuzzy rule includes with next:
1. IF freezing chamber temperature signal Δ DtTo be honest, it is BIGP that THEN compressor frequency, which changes a great deal of Δ F,；
2. IF freezing chamber temperature signal Δ DtIt is positive small, it is SMALLP that THEN compressor frequency, which changes a great deal of Δ F,；
3. IF freezing chamber temperature signal Δ DtIt is zero change, it is NOCHANGE that THEN compressor frequency, which changes a great deal of Δ F,；
4. IF freezing chamber temperature signal Δ DtIt is negative small, it is SMALLN that THEN compressor frequency, which changes a great deal of Δ F,；
5. IF freezing chamber temperature signal Δ DtIt is negative big, it is BIGN that THEN compressor frequency, which changes a great deal of Δ F,；
6. IF freezing chamber difference variation rate signal d Δ DtTo be honest, THEN compressor frequency variation a great deal of Δ F is
SMALLP；
7. IF freezing chamber difference variation rate signal d Δ DtIt is positive small, THEN compressor frequency variation a great deal of Δ F is
VSMALLP；
8. IF freezing chamber difference variation rate signal d Δ DtIt is zero change, THEN compressor frequency variation a great deal of Δ F is
NOCHANGE；
9. IF freezing chamber difference variation rate signal d Δ DtIt is negative small, THEN compressor frequency variation a great deal of Δ F is
VSMALLN；
10. IF freezing chamber difference variation rate signal d Δ DtIt is negative big, THEN compressor frequency variation a great deal of Δ F is
SMALLN。
According to freezing chamber temperature signal Δ DtWith freezing chamber difference variation rate signal d Δ DtAffiliated fuzzy set determines suitable
Fuzzy rule, and each output valve of compressor frequency variation a great deal of Δ F is successively denoted as Δ Fi, Δ FiSubscript point
Not with freezing chamber temperature signal Δ DtWith freezing chamber difference variation rate signal d Δ DtDegree of membership μ in its affiliated fuzzy seti
Subscript be equal to each other, even freezing chamber temperature signal Δ DtOr freezing chamber difference variation rate signal d Δ DtIn its affiliated fuzzy set
Degree of membership in conjunction is denoted as μi, then the compressor frequency exported according to corresponding fuzzy rule variation a great deal of Δ F is denoted as Δ Fi。
F, to each output valve Δ F of compressor frequency variation a great deal of Δ FiAmbiguity solution calculating is carried out, Fuzzy Control is obtained
The real output value of systemCompressor requires running frequency=compressor to show running frequency+real output value
WA × CFOUT, CFOUT is constant in formula, and those skilled in the art can specifically adjust its number according to the temperature control system of different refrigerators
Value, makes fuzzy control of the invention reach best temperature control effect.
The fuzzy control method of refrigerator frequency-changeable compressor revolving speed of the present invention is carried out combined with specific embodiments below
It is described in detail.
A, sampling period TSAMP is set as 30s, calculates the actual temperature T and set temperature T of current freezer compartment of refrigerator0's
Difference obtains Δ Tn=+1.5 DEG C, the freezing chamber temperature signal Δ T before 30sn-1=+2.0 DEG C, therefore d Δ Tn=Δ Tn-ΔTn-1
=-0.5 DEG C/30s.
B, setting freezing chamber temperature difference constant CDD and freezing chamber difference variation rate constant CDDD is 1, then the freezing chamber temperature difference is believed
Number Δ Dt=CDD Δ Tn=+1.5 DEG C, freeze room temperature difference change rate signal d Δ Dt=CDDDd Δ Tn=-0.5 DEG C/30s, mould
The input signal numerical value of paste control determines that the output signal of fuzzy control is that compressor frequency changes a great deal of Δ F.
C, freezing chamber temperature signal Δ DtFuzzy set it is respectively honest, it is just small, zero become, bear small and negative big, freezing chamber
Temperature signal Δ DtHonest fuzzy set parameter POSB, just small fuzzy set parameter POSS, zero fog lumped parameter ZERO,
It bears small fuzzy set parameter NEGS and bears big fuzzy set parameter NEGB successively assignment 2,1,0, -1 and -2, as shown in figure 4, freezing
Room temperature difference signal Δ DtThe subordinating degree function of honest fuzzy set are as follows:
Freezing chamber temperature signal Δ DtThe subordinating degree function of just small fuzzy set are as follows:
Freezing chamber temperature signal Δ DtZero subordinating degree function for fogging set are as follows:
Freezing chamber temperature signal Δ DtBear the subordinating degree function of small fuzzy set are as follows:
Freezing chamber temperature signal Δ DtBear the subordinating degree function of big fuzzy set are as follows:
Similarly, freezing chamber difference variation rate signal d Δ D is definedtFuzzy set it is respectively honest, it is just small, zero become, bear it is small
With negative big, freezing chamber difference variation rate signal d Δ DtHonest fuzzy set parameter POSBD, just small fuzzy set parameter
POSSD, zero fog lumped parameter ZEROD, bear small fuzzy set parameter NEGSD and bear big fuzzy set parameter NEGBD successively
Assignment 2,1,0, -1 and -2, as shown in figure 5, freezing chamber difference variation rate signal d Δ DtThe subordinating degree function of honest fuzzy set
Are as follows:
Freezing chamber difference variation rate signal d Δ DtThe subordinating degree function of just small fuzzy set are as follows:
Freezing chamber difference variation rate signal d Δ DtZero subordinating degree function for fogging set are as follows:
Freezing chamber difference variation rate signal d Δ DtBear the subordinating degree function of small fuzzy set are as follows:
Freezing chamber difference variation rate signal d Δ DtBear the subordinating degree function of big fuzzy set are as follows:
By freezing chamber temperature signal Δ Dt=+1.5 DEG C, freezing chamber difference variation rate signal d Δ Dt=-0.5 DEG C/30s can
Know, freezing chamber temperature signal Δ DtDegree of membership μ in honest fuzzy set1=0.5, freezing chamber temperature signal Δ DtIt is just small fuzzy
Degree of membership μ in set2=0.5, freezing chamber difference variation rate signal d Δ DtDegree of membership μ in honest fuzzy set3=0.5,
Freezing chamber difference variation rate signal d Δ DtDegree of membership μ in just small fuzzy set4=0.5.
E, compressor frequency variation a great deal of Δ F fuzzy set it is respectively honest, it is just small, just slight, zero become, bear it is small
It is small, bear small and negative big, compressor frequency changes the honest fuzzy set parameter BIGP of a great deal of Δ F, just small fuzzy set parameter
SMALLP, just slight fuzzy set parameter VSMALLP, zero fog lumped parameter NOCHANGE, bear slight fuzzy set parameter
VSMALLN, bear small fuzzy set parameter SMALLN and bear big fuzzy set parameter BIGN successively assignment 10,2,1,0, -1, -2 and -
10。
F, the fuzzy rule controlled using IF-THEN format ambiguity in definition, the fuzzy rule includes following ten:
1. IF freezing chamber temperature signal Δ DtTo be honest, it is 10 that THEN compressor frequency, which changes a great deal of Δ F,；
2. IF freezing chamber temperature signal Δ DtIt is positive small, it is 2 that THEN compressor frequency, which changes a great deal of Δ F,；
3. IF freezing chamber temperature signal Δ DtIt is zero change, it is 0 that THEN compressor frequency, which changes a great deal of Δ F,；
4. IF freezing chamber temperature signal Δ DtIt is negative small, it is -2 that THEN compressor frequency, which changes a great deal of Δ F,；
5. IF freezing chamber temperature signal Δ DtIt is negative big, it is 10 that THEN compressor frequency, which changes a great deal of Δ F:
6. IF freezing chamber difference variation rate signal d Δ DtTo be honest, it is 2 that THEN compressor frequency, which changes a great deal of Δ F,；
7. IF freezing chamber difference variation rate signal d Δ DtIt is positive small, it is 1 that THEN compressor frequency, which changes a great deal of Δ F,；
8. IF freezing chamber difference variation rate signal d Δ DtIt is zero change, it is 0 that THEN compressor frequency, which changes a great deal of Δ F,；
9. IF freezing chamber difference variation rate signal d Δ DtIt is negative small, it is -1 that THEN compressor frequency, which changes a great deal of Δ F,；
10. IF freezing chamber difference variation rate signal d Δ DtIt is negative big, it is -2 that THEN compressor frequency, which changes a great deal of Δ F,；
By freezing chamber temperature signal Δ DtWith freezing chamber difference variation rate signal d Δ DtValue known to above-mentioned applicable mould
Paste rule is 1., 2., 8., 9., then each output valve of compressor frequency variation a great deal of Δ F is followed successively by Δ F1=10, Δ F2=
2, Δ F3=0, Δ F4=-1.
G, ambiguity solution calculating is carried out to each output valve of compressor frequency variation a great deal of Δ F, obtains fuzzy control
Real output valueCompressor shows running frequency
52Hz, constant CFOUT take 1, then compressor requires running frequency=52+2.75 × 1=54.75Hz.
Claims (5)
1. a kind of fuzzy control method of refrigerator frequency-changeable compressor revolving speed, which comprises the following steps:
A, sampling period TSAMP is set, every the actual temperature T of the freezer compartment of refrigerator of acquisition in TSAMP seconds, and calculates practical temperature
Spend T and set temperature T0Difference, remember Δ Tn=T-T0, subscript n=1,2 ... ..., note d Δ Tn=Δ Tn-ΔTn-1, subsequently into
Step B；
B, freezing chamber temperature difference constant CDD and freezing chamber difference variation rate constant CDDD is set, by freezing chamber temperature signal Δ Dt=
CDD·ΔTnWith freezing chamber difference variation rate signal d Δ Dt=CDDDd Δ TnAs the input signal of fuzzy control, will compress
Unit frequency changes output signal of a great deal of Δ F as fuzzy control, subsequently into step C；
C, Fuzzy processing is carried out to the input signal of fuzzy control, defines freezing chamber temperature signal Δ DtBecome with the freezing chamber temperature difference
Rate signal d Δ DtFuzzy set be it is honest, just small, zero become, bear it is small and negative big, using Triangleshape grade of membership function method point
It is other to freezing chamber temperature signal Δ DtWith freezing chamber difference variation rate signal d Δ DtIt is honest, just small, zero become, bear small and negative big mould
Paste set establishes subordinating degree function, according to freezing chamber temperature signal Δ DtWith freezing chamber difference variation rate signal d Δ DtNumerical value it is true
Its fixed degree of membership in corresponding fuzzy set conjunction, and each degree of membership by value not equal to 0 is successively denoted as μi, i=1,2,
3 ... ..., subsequently into step D；
D, define compressor frequency variation a great deal of Δ F fuzzy set it is respectively honest, it is just small, just slight, zero become, bear it is small
It is small, bear small and negative big, BIGP is the honest fuzzy set parameter that compressor frequency changes a great deal of Δ F, and SMALLP is compressor
Frequency changes the just small fuzzy set parameter of a great deal of Δ F, and VSMALLP is that compressor frequency changes the just slight of a great deal of Δ F
Fuzzy set parameter, NOCHANGE are that compressor frequency changes the zero of a great deal of Δ F and fogs lumped parameter, and VSMALLN is pressure
Contracting unit frequency variation a great deal of Δ F's bears slight fuzzy set parameter, and SMALLN is that compressor frequency changes the negative of a great deal of Δ F
Small fuzzy set parameter, BIGN is the negative parameter of fuzzy set greatly that compressor frequency changes a great deal of Δ F, subsequently into step E；
E, with freezing chamber temperature signal Δ DtWith freezing chamber difference variation rate signal d Δ DtFuzzy set as control variable, with
Compressor frequency changes the fuzzy set parameter of a great deal of Δ F as output variable, is controlled using IF-THEN format ambiguity in definition
Fuzzy rule, according to freezing chamber temperature signal Δ DtWith freezing chamber difference variation rate signal d Δ DtAffiliated fuzzy set determines
Applicable fuzzy rule, and each output valve of compressor frequency variation a great deal of Δ F is successively denoted as Δ Fi, Δ FiSubscript
Respectively with freezing chamber temperature signal Δ DtWith freezing chamber difference variation rate signal d Δ DtDegree of membership in its affiliated fuzzy set
μiSubscript be equal to each other, subsequently into step F；
F, to each output valve Δ F of compressor frequency variation a great deal of Δ FiAmbiguity solution calculating is carried out, the reality of fuzzy control is obtained
Border output valveCompressor require running frequency=compressor show running frequency+real output value WA ×
CFOUT, CFOUT is constant in formula；
It is freezing chamber temperature signal Δ D that POSB is defined in the step CtHonest fuzzy set parameter, POSS be freezing room temperature
Difference signal Δ DtJust small fuzzy set parameter, ZERO be freezing chamber temperature signal Δ DtZero fog lumped parameter, NEGS is
Freezing chamber temperature signal Δ DtBear small fuzzy set parameter, NEGB is freezing chamber temperature signal Δ DtNegative big fuzzy set ginseng
Number, freezing chamber temperature signal Δ DtThe subordinating degree function of honest fuzzy set are as follows:
Freezing chamber temperature signal Δ DtThe subordinating degree function of just small fuzzy set are as follows:
Freezing chamber temperature signal Δ DtZero subordinating degree function for fogging set are as follows:
Freezing chamber temperature signal Δ DtBear the subordinating degree function of small fuzzy set are as follows:
Freezing chamber temperature signal Δ DtBear the subordinating degree function of big fuzzy set are as follows:
2. a kind of fuzzy control method of refrigerator frequency-changeable compressor revolving speed as described in claim 1, it is characterised in that: described
It is freezing chamber difference variation rate signal d Δ D that POSBD is defined in step CtHonest fuzzy set parameter, POSSD be freezing room temperature
Poor change rate signal d Δ DtJust small fuzzy set parameter, ZEROD be freezing chamber difference variation rate signal d Δ DtZero fog
Lumped parameter, NEGSD are freezing chamber difference variation rate signal d Δ DtBear small fuzzy set parameter, NEGBD is the freezing chamber temperature difference
Change rate signal d Δ DtNegative big fuzzy set parameter, freezing chamber difference variation rate signal d Δ DtHonest fuzzy set is subordinate to
Spend function are as follows:
Freezing chamber difference variation rate signal d Δ DtThe subordinating degree function of just small fuzzy set are as follows:
Freezing chamber difference variation rate signal d Δ DtZero subordinating degree function for fogging set are as follows:
Freezing chamber difference variation rate signal d Δ DtBear the subordinating degree function of small fuzzy set are as follows:
Freezing chamber difference variation rate signal d Δ DtBear the subordinating degree function of big fuzzy set are as follows:
3. a kind of fuzzy control method of refrigerator frequency-changeable compressor revolving speed as claimed in claim 2, it is characterised in that: described
Fuzzy rule includes following ten in step E:
1. IF freezing chamber temperature signal Δ DtTo be honest, it is BIGP that THEN compressor frequency, which changes a great deal of Δ F,；
2. IF freezing chamber temperature signal Δ DtIt is positive small, it is SMALLP that THEN compressor frequency, which changes a great deal of Δ F,；
3. IF freezing chamber temperature signal Δ DtIt is zero change, it is NOCHANGE that THEN compressor frequency, which changes a great deal of Δ F,；
4. IF freezing chamber temperature signal Δ DtIt is negative small, it is SMALLN that THEN compressor frequency, which changes a great deal of Δ F,；
5. IF freezing chamber temperature signal Δ DtIt is negative big, it is BIGN that THEN compressor frequency, which changes a great deal of Δ F,；
6. IF freezing chamber difference variation rate signal d Δ DtTo be honest, it is SMALLP that THEN compressor frequency, which changes a great deal of Δ F,；
7. IF freezing chamber difference variation rate signal d Δ DtIt is positive small, it is VSMALLP that THEN compressor frequency, which changes a great deal of Δ F:
8. IF freezing chamber difference variation rate signal d Δ DtIt is zero change, it is NOCHANGE that THEN compressor frequency, which changes a great deal of Δ F,；
9. IF freezing chamber difference variation rate signal d Δ DtIt is negative small, it is VSMALLN that THEN compressor frequency, which changes a great deal of Δ F,；
10. IF freezing chamber difference variation rate signal d Δ DtIt is negative big, it is SMALLN that THEN compressor frequency, which changes a great deal of Δ F,.
4. a kind of fuzzy control method of refrigerator frequency-changeable compressor revolving speed as claimed in claim 3, it is characterised in that: described
Freezing chamber temperature signal Δ D in step DtHonest fuzzy set parameter POSB, just small fuzzy set parameter POSS, zero fog
Lumped parameter ZERO, it bears small fuzzy set parameter NEGS and bears big fuzzy set parameter NEGB as arithmetic progression.
5. a kind of fuzzy control method of refrigerator frequency-changeable compressor revolving speed as claimed in claim 4, it is characterised in that: described
Freezing chamber difference variation rate signal d Δ D in step DtHonest fuzzy set parameter POSBD, just small fuzzy set parameter
POSSD, zero fog lumped parameter ZEROD, bear small fuzzy set parameter NEGSD and bear big fuzzy set parameter NEGBD be etc.
Difference series.
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| CN108954892B (en) * | 2018-05-29 | 2021-02-23 | 广东海悟科技有限公司 | Computer readable storage medium of air source heat pump based on fuzzy control |
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