CN109656138A - A kind of brewed spirit process temperature intelligent control method based on fuzzy reasoning - Google Patents
A kind of brewed spirit process temperature intelligent control method based on fuzzy reasoning Download PDFInfo
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- 230000008569 process Effects 0.000 title claims abstract description 17
- 230000003044 adaptive effect Effects 0.000 claims abstract description 19
- 230000008859 change Effects 0.000 claims abstract description 8
- 238000013461 design Methods 0.000 claims abstract description 6
- 238000005070 sampling Methods 0.000 claims abstract description 4
- 230000006870 function Effects 0.000 claims description 11
- 230000009471 action Effects 0.000 claims description 6
- 238000000855 fermentation Methods 0.000 claims description 6
- 230000004151 fermentation Effects 0.000 claims description 6
- 235000020097 white wine Nutrition 0.000 claims description 6
- 238000010438 heat treatment Methods 0.000 claims description 5
- CPLXHLVBOLITMK-UHFFFAOYSA-N Magnesium oxide Chemical compound [Mg]=O CPLXHLVBOLITMK-UHFFFAOYSA-N 0.000 claims description 4
- 230000005540 biological transmission Effects 0.000 claims description 4
- 238000012545 processing Methods 0.000 claims description 4
- 230000004044 response Effects 0.000 claims description 4
- 229910001220 stainless steel Inorganic materials 0.000 claims description 4
- 239000010935 stainless steel Substances 0.000 claims description 4
- 238000004891 communication Methods 0.000 claims description 2
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- 238000010586 diagram Methods 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 244000005700 microbiome Species 0.000 description 2
- LFQSCWFLJHTTHZ-UHFFFAOYSA-N Ethanol Chemical compound CCO LFQSCWFLJHTTHZ-UHFFFAOYSA-N 0.000 description 1
- 241000235342 Saccharomycetes Species 0.000 description 1
- 230000001476 alcoholic effect Effects 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 150000002148 esters Chemical class 0.000 description 1
- 230000004060 metabolic process Effects 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
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- C12G—WINE; PREPARATION THEREOF; ALCOHOLIC BEVERAGES; PREPARATION OF ALCOHOLIC BEVERAGES NOT PROVIDED FOR IN SUBCLASSES C12C OR C12H
- C12G3/00—Preparation of other alcoholic beverages
- C12G3/02—Preparation of other alcoholic beverages by fermentation
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- C—CHEMISTRY; METALLURGY
- C12—BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
- C12Q—MEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEIC ACIDS OR MICROORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
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Abstract
A kind of brewed spirit process temperature intelligent control method based on fuzzy reasoning, comprising: temperature signal collection is realized using integrated temperature sensor；It using parameter controllable type PID controller and fuzzy reasoning method, establishes and is based on certain design principle adaptive Fuzzy PID Control system, handle sampling temperature data；The system ambiguous variable of standardization, using the input signal of triangle π membership function quantization fuzzy controller, and according to the fuzzy reasoning of fuzzy control rule progress controller；Fuzzy control quantity is refined using weighted average method, temperature control amount is obtained, to automatically adjust the temperature change of different zones in pit；This method has good anti-interference ability, utilize the adaptive Fuzzy PID Control system of parameter controllable type, fuzzy rule is summed up by the fuzzy quantization of standardization fuzzy variable and triangle π membership function, and carry out fuzzy reasoning, corresponding control output quantity is obtained after de-fuzzy, to realize the target temperature strong stability control based on pre-control.
Description
Technical field
The present invention relates to data processings and field of fuzzy control, and in particular to a kind of brewed spirit mistake based on fuzzy reasoning
Journey temperature intelligent control method.
Background technique
Brewed spirit is the microorganism growth metabolism i.e. complex process of substance conversion, and temperature is to influence microorganism growth and deposit
One of essential environmental factors living.In alcoholic fermentation process, will increase if fermentation temperature is excessively high higher alcohol production quantity or
So that saccharomycete is lost activity and stop fermenting, temperature is lower, may cause the increase of volatility Ester production quantity, direct shadow
Ring the quality and yield of white wine.The prior art, using course control method for use, is reaching target temperature point when carrying out temperature control
Inevitably there is a degree of fluctuation when nearby, cannot achieve high-precision stability contorting.
Summary of the invention
To solve the above problems, the purpose of the present invention is to provide a kind of brewed spirit process temperature based on fuzzy reasoning
Intelligent control method passes through rule using Adaptive Fuzzy PID (proportional, integral-derivative controls) control system of parameter controllable type
The summary of the fuzzy quantization of generalized fuzzy variable and triangle π membership function obtains fuzzy rule, is carried out using fuzzy control rule
Fuzzy reasoning obtains corresponding control output quantity after de-fuzzy, to carry out the temperature control of spirit brewing pit.
Solve the above problems used technical solution, comprising the following steps:
A. white wine pit temperature point is placed in using integrated temperature sensor, detects pit temperature using temperature sensing unit
Degree realizes temperature signal collection；
B. parameter controllable type PID controller and fuzzy reasoning method are utilized, is established adaptive based on certain design principle
Fuzzy PID Control System handles sampling temperature data；
C. the system ambiguous variable of standardization quantifies the input signal of fuzzy controller using triangle π membership function,
And the fuzzy reasoning of controller is carried out according to fuzzy control rule；
D. fuzzy control quantity is refined using weighted average method, temperature control amount is obtained, to automatically adjust in pit
The temperature change of different zones realizes that the temperature intelligent of brewed spirit process regulates and controls task.
The beneficial effects of the present invention are:
In complicated and changeable and sporadic strong ferment control task, the present invention utilizes the adaptive fuzzy of parameter controllable type
PID control system obtains fuzzy rule by the summary of the fuzzy quantization of standardization fuzzy variable and triangle π membership function, benefit
Fuzzy reasoning is carried out with fuzzy control rule, corresponding control output quantity is obtained after de-fuzzy, to realize based on pre-control
The control of target temperature strong stability has beneficial effect for the quality and high value added product that improve brewed spirit.
Detailed description of the invention
Fig. 1 is a kind of overall flow figure of brewed spirit process temperature intelligent control method based on fuzzy reasoning；
Fig. 2 is sensor distribution schematic diagram；
Fig. 3 is adaptive Fuzzy PID Control system block diagram.
Specific embodiment
Referring to Fig.1, method of the present invention the following steps are included:
A. white wine pit temperature point is placed in using integrated temperature sensor, detects pit temperature using temperature sensing unit
Degree realizes temperature signal collection；
Temperature sensing thermometric bar using stainless steel hollow pipe as white wine pit, the length of hollow pipe is according to specific pit
Depth does adjustment appropriate, uses digital temperature sensor as temperature sensing element, acquires each depth of pit and each region
Temperature data；The upper, middle and lower-ranking of thermometric bar fixes a temperature sensor respectively, using magnesia as filler, respectively
Position distribution between sensor is as shown in Figure 2.
Stainless steel thermometric bar external connection power supply line, data line and ground wire, obtain each layer sensor by driven by program
Temperature information:
1. using the acquisition and transmission of single machine piece processing various parameters in the governor circuit of entire telemetry circuit；
2. point-to-point communication modes, which are arranged, realizes remote wireless data transmission while guaranteeing low-power consumption；
3. telemetry circuit is filled using the charging circuit for coming with charging modes, field device easy to produce in whole device
Electricity avoids the trouble of replacement battery；
Using the temperature collecting device, the variation of each layer sensor temperature of pit during liquor fermentation is recorded, realizes temperature
The acquisition of degree evidence；
B. parameter controllable type PID controller and fuzzy reasoning method are utilized, is established adaptive based on certain design principle
Fuzzy PID Control System handles sampling temperature data；
(1) adaptive Fuzzy PID Control system is established, fuzzy controller is online according to different errors and error rate
It is adaptive to determine pid parameter, carry out the fuzzy control of temperature；
1. the data acquired are shown in a computer by A/D converter, adaptive Fuzzy PID Control system passes through place
It manages sampled data and obtains corresponding error and error rate, obtain control amount using fuzzy control decision table, be computed and acquire
Output quantity is controlled, to control the variation of temperature in wine cellar；
2. establishing adaptive Fuzzy PID Control system, structure is as shown in Figure 3:
T indicates the temperature of acquisition, e tabular form error, e in figurecIndicate error rate, KpIt indicates proportional action coefficient, determines
The response speed and precision of system, KIIndicate integral action coefficient, the stable state accuracy of decision systems, KDIndicate derivative coefficient,
The dynamic characteristic of decision systems；The system is mainly made of the controllable PID of parameter and Fuzzy control system, parameter controllable type PID
The control of complete paired systems, Fuzzy control system realization automatically correct PID controller parameter；Digital pid controller letter
Number may be expressed as:
(2) when carrying out the design of parameter self-tuning fuzzy PID controller, to make system preferably carry out fuzzy control, for not
Same error e and error rate ec, pid parameter, which is adjusted, should follow following principle:
1. when | e | when larger, K should be madepTake the larger value, KDSmaller value is taken, to accelerate system response time, while making KI
=0, the integral action for limiting system avoids the occurrence of overshoot；
2. when | e | when medium, K should be madepTake smaller value, KIAnd KDAppropriate value is taken respectively, and safeguards system has lesser super
It adjusts；
3. when | e | when smaller, K should be madepAnd KITake the larger value, KDAppropriate value is taken, makes system that there is preferable steady-state performance,
It avoids vibrating near the equalization point of setting；
C. the system ambiguous variable of standardization quantifies the input signal of fuzzy controller using triangle π membership function,
And the fuzzy reasoning of controller is carried out according to fuzzy control rule；
(1) adaptive Fuzzy PID Control system used by this method passes through the fuzzy controller pair of two inputs, three output
Input signal carries out fuzzy reasoning, system ambiguous variable according to control rule are as follows:
1. input signal: temperature error absolute value | e | and temperature error change rate absolute value system input signal is temperature
Spend Error Absolute Value | ec|；
2. exporting control amount: PID controller parameter Kp、KI、KD；
Simplify PID controller function using sampled data are as follows:
F (t)=f (t-1)+(Kp+KI+KD)e(t)-(Kp+2KD)e(k-1)+KDe(k-2)
(2) it is converted the accurate input quantity of fuzzy controller to using triangle π membership function and controls regular required obscure
Amount, and fuzzy reasoning is carried out according to control rule；
1. utilizing following formula standardization input signal and corresponding output control amount:
The variable x in section [a, b] can be converted to according to the formula variable y changed in section [- 6,6]；
2. the input of fuzzy controller and output variable are blurred using triangular membership: enabling error | e |
Linguistic variable be E, corresponding fuzzy subset be M={ Mi| i=1,2,3,4 }, error rate | ec| linguistic variable be
EC, corresponding fuzzy subset are N={ Nj| j=1,2,3,4 }, export control amount Kp、KI、KDLinguistic variable be U, phase
The fuzzy subset answered is L={ Lk| k=1,2,3,4 }, it is assumed that the domain of all linguistic variables is equal are as follows: and [0,1,2,3,4,5,6],
Corresponding fuzzy language subset is equal are as follows:
{ ZO (0), PS (just small), PM (center), PB (honest) }, language by inference:
If E=ZO and EC=ZO then U=ZO
By summarizing and concluding, the control for obtaining fuzzy controller is regular:
1 K of tablepControl rule table
2 K of tableIControl rule table
3 K of tableDControl rule table
Fuzzy reasoning is carried out according to following formula using control rule:
S indicates the corresponding fuzzy subset of all Fuzzy Linguistic Variables；
Fuzzy control quantity is refined using weighted average method, temperature control amount is obtained, to automatically adjust in pit not
With the temperature change in region, realize that the temperature intelligent of brewed spirit process regulates and controls task.
Utilize weighted average method:
All fuzzy subset S are refined, obtain the pid parameter K for corresponding to error and error rate respectivelyp、KI、KD, lead to
Crossing above formula can be calculated the fuzzy judgment table of fuzzy control；When system is run, using the table according to the e and e at each momentcIt looks into
It exports control amount accordingly out, and then acquires temperature control output quantity；Liquor fermentation pit is controlled using the control amount of the system
The conducting and shutdown of interior heating system, change the heating time of heating device, reach stability contorting temperature in the requirement of given value,
To realize the temperature intelligent regulation task of brewed spirit process.
In conclusion just realizing a kind of brewed spirit process temperature intelligent control method based on fuzzy reasoning.Multiple
In miscellaneous changeable and sporadic strong ferment control task, the present invention utilizes the adaptive Fuzzy PID Control system of parameter controllable type,
Fuzzy rule is obtained by the summary of the fuzzy quantization of standardization fuzzy variable and triangle π membership function, is advised using fuzzy control
Fuzzy reasoning is then carried out, corresponding control output quantity is obtained after de-fuzzy, to realize that the target temperature based on pre-control is steady by force
Fixed control has beneficial effect for the quality and high value added product that improve brewed spirit.
Claims (5)
1. a kind of brewed spirit process temperature intelligent control method based on fuzzy reasoning, it is characterised in that: the method includes
Following steps:
A. white wine pit temperature point is placed in using integrated temperature sensor, detects pit temperature using temperature sensing unit, it is real
Existing temperature signal collection；
B. parameter controllable type PID controller and fuzzy reasoning method are utilized, establishes and is based on certain design principle adaptive fuzzy
PID control system handles sampling temperature data；
C. the system ambiguous variable of standardization quantifies the input signal of fuzzy controller, and root using triangle π membership function
The fuzzy reasoning of controller is carried out according to fuzzy control rule；
D. fuzzy control quantity is refined using weighted average method, obtains temperature control amount, to automatically adjust different in pit
The temperature change in region realizes that the temperature intelligent of brewed spirit process regulates and controls task.
2. the brewed spirit process temperature intelligent control method according to claim 1 based on fuzzy reasoning, feature exist
In:
The step A includes:
Temperature sensing thermometric bar using stainless steel hollow pipe as white wine pit, the length of hollow pipe is according to specific pit depth
Adjustment appropriate is done, uses digital temperature sensor as temperature sensing element, acquires the temperature in each depth of pit and each region
Degree evidence；The upper, middle and lower-ranking of thermometric bar fixes a temperature sensor respectively, using magnesia as filler；
Stainless steel thermometric bar external connection power supply line, data line and ground wire, the temperature of each layer sensor is obtained by driven by program
Information:
1. using the acquisition and transmission of single machine piece processing various parameters in the governor circuit of entire telemetry circuit；
2. point-to-point communication modes, which are arranged, realizes remote wireless data transmission while guaranteeing low-power consumption；
3. telemetry circuit is using the charging circuit for coming with charging modes in whole device；
Using the temperature collecting device, the variation of each layer sensor temperature of pit during liquor fermentation is recorded, realizes temperature number
According to acquisition.
3. the brewed spirit process temperature intelligent control method according to claim 2 based on fuzzy reasoning, feature exist
In:
(1) adaptive Fuzzy PID Control system is established, fuzzy controller is adaptive online according to different errors and error rate
It should determine pid parameter, carry out the fuzzy control of temperature；
1. the data acquired are shown in a computer by A/D converter, adaptive Fuzzy PID Control system, adopted by processing
Sample data obtain corresponding error and error rate, obtain control amount using fuzzy control decision table, are computed and acquire control
Output quantity, to control the variation of temperature in wine cellar；
2. establishing adaptive Fuzzy PID Control system: t indicates the temperature of acquisition, e tabular form error, ecIndicate error rate, Kp
Indicate proportional action coefficient, the response speed and precision of decision systems, KIIndicate integral action coefficient, the stable state essence of decision systems
Degree, KDIndicate derivative coefficient, the dynamic characteristic of decision systems；The system is mainly by the controllable PID of parameter and fuzzy control
System composition, the control of the complete paired systems of parameter controllable type PID, Fuzzy control system are realized to the automatic of PID controller parameter
Correction；Digital pid controller function may be expressed as:
(2) when carrying out the design of parameter self-tuning fuzzy PID controller, to make system preferably carry out fuzzy control, for different
Error e and error rate ec, pid parameter, which is adjusted, should follow following principle:
1. when | e | when larger, K should be madepTake the larger value, KDSmaller value is taken, to accelerate system response time, while making KI=0,
The integral action of limitation system avoids the occurrence of overshoot；
2. when | e | when medium, K should be madepTake smaller value, KIAnd KDAppropriate value is taken respectively, and safeguards system has lesser overshoot；
3. when | e | when smaller, K should be madepAnd KITake the larger value, KDAppropriate value is taken, makes system that there is preferable steady-state performance, avoids
It is vibrated near the equalization point of setting.
4. the brewed spirit process temperature intelligent control method according to claim 3 based on fuzzy reasoning, feature exist
In:
(1) adaptive Fuzzy PID Control system advises input signal according to control by the fuzzy controller of two inputs, three output
Then carry out fuzzy reasoning, system ambiguous variable are as follows:
1. input signal: temperature error absolute value | e | and temperature error change rate absolute value system input signal is temperature mistake
Poor absolute value | ec|；
2. exporting control amount: PID controller parameter Kp、KI,KD；
Simplify PID controller function using sampled data are as follows:
F (t)=f (t-1)+(Kp+KI+KD)e(t)-(Kp+2KD)e(k-1)+KDe(k-2)
(2) the required fuzzy quantity of control rule is converted for the accurate input quantity of fuzzy controller using triangle π membership function,
And fuzzy reasoning is carried out according to control rule；
1. utilizing following formula standardization input signal and corresponding output control amount:
The variable x in section [a, b] can be converted to according to the formula variable y changed in section [- 6,6]；
2. the input of fuzzy controller and output variable are blurred using triangular membership: enabling error | e | language
Speech variable is E, and corresponding fuzzy subset is M={ Mi| i=1,2,3,4 }, error rate | ec| linguistic variable be EC,
Corresponding fuzzy subset is N={ Nj| j=1,2,3,4 }, export control amount Kp、KI、KDLinguistic variable be U, it is corresponding
Fuzzy subset is L={ Lk| k=1,2,3,4 }, it is assumed that the domain of all linguistic variables is equal are as follows: and [0,1,2,3,4,5,6], it is corresponding
Fuzzy language subset it is equal are as follows: { ZO (0), PS (just small), PM (center), PB (honest) }, language by inference:
IfE=ZO and EC=ZO then U=ZO
By summarizing and concluding, the control for obtaining fuzzy controller is regular:
1 K of tablepControl rule table
2 K of tableIControl rule table
3 K of tableDControl rule table
Fuzzy reasoning is carried out according to following formula using control rule:
S indicates the corresponding fuzzy subset of all Fuzzy Linguistic Variables.
5. the brewed spirit process temperature intelligent control method according to claim 4 based on fuzzy reasoning, feature exist
In:
Utilize weighted average method:
All fuzzy subset S are refined, obtain the pid parameter K for corresponding to error and error rate respectivelyp、KI、KD, by upper
Formula can be calculated the fuzzy judgment table of fuzzy control；When system is run, using the table according to the e and e at each momentcFind phase
The output control amount answered, and then acquire temperature control output quantity；It is controlled in liquor fermentation pit and is added using the control amount of the system
The conducting and shutdown of hot systems, change the heating time of heating device, reach stability contorting temperature in the requirement of given value, thus
Realize that the temperature intelligent of brewed spirit process regulates and controls task.
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