CN108241290A - A kind of warehouse recirculation fumigation control method based on fuzzy-adaptation PID control - Google Patents
A kind of warehouse recirculation fumigation control method based on fuzzy-adaptation PID control Download PDFInfo
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- CN108241290A CN108241290A CN201711376066.0A CN201711376066A CN108241290A CN 108241290 A CN108241290 A CN 108241290A CN 201711376066 A CN201711376066 A CN 201711376066A CN 108241290 A CN108241290 A CN 108241290A
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- fuzzy
- warehouse
- membership function
- recirculation fumigation
- controller
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- 238000003958 fumigation Methods 0.000 title claims abstract description 16
- 238000000034 method Methods 0.000 title claims abstract description 16
- XYFCBTPGUUZFHI-UHFFFAOYSA-N Phosphine Chemical compound P XYFCBTPGUUZFHI-UHFFFAOYSA-N 0.000 claims description 17
- 229910000073 phosphorus hydride Inorganic materials 0.000 claims description 8
- 238000012512 characterization method Methods 0.000 claims description 3
- 238000004088 simulation Methods 0.000 claims description 3
- 238000004458 analytical method Methods 0.000 abstract description 5
- 241000370064 Goodyera repens Species 0.000 abstract 1
- 239000007789 gas Substances 0.000 description 6
- 230000005484 gravity Effects 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 241000238631 Hexapoda Species 0.000 description 1
- UFHFLCQGNIYNRP-UHFFFAOYSA-N Hydrogen Chemical compound [H][H] UFHFLCQGNIYNRP-UHFFFAOYSA-N 0.000 description 1
- 241000607479 Yersinia pestis Species 0.000 description 1
- ILRRQNADMUWWFW-UHFFFAOYSA-K aluminium phosphate Chemical compound O1[Al]2OP1(=O)O2 ILRRQNADMUWWFW-UHFFFAOYSA-K 0.000 description 1
- 239000001257 hydrogen Substances 0.000 description 1
- 229910052739 hydrogen Inorganic materials 0.000 description 1
- 239000002341 toxic gas Substances 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Classifications
-
- 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
- G05B11/00—Automatic controllers
- G05B11/01—Automatic controllers electric
- G05B11/36—Automatic controllers electric with provision for obtaining particular characteristics, e.g. proportional, integral, differential
- G05B11/42—Automatic controllers electric with provision for obtaining particular characteristics, e.g. proportional, integral, differential for obtaining a characteristic which is both proportional and time-dependent, e.g. P. I., P. I. D.
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- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Automation & Control Theory (AREA)
- Feedback Control In General (AREA)
Abstract
The invention discloses a kind of warehouse recirculation fumigation control methods based on fuzzy-adaptation PID control, it is blurred using fuzzy controller nepal rattlesnake plantain root number, reasoning from logic is carried out to fuzzy variable set and membership function value is refined, the exact value then obtained is sent to PID controller and carries out execution output.Since warehouse recirculation fumigation environment is uncertain, unordered environment, there is time variation, erratic behavior, uncertainties, the present invention is combined using FUZZY ALGORITHMS FOR CONTROL and pid control algorithm and carries out Analysis of Policy Making, ensure that accuracy, rapidity and the high efficiency of warehouse recirculation fumigation control system Analysis of Policy Making.
Description
Technical field
The present invention relates to warehouse recirculation fumigation field, specifically a kind of warehouse recirculation fumigation control based on fuzzy-adaptation PID control
Method processed.
Background technology
China is grain big country, seems most important to the storage of grain.One of the critical issue in warehouse is to eliminate storehouse
Insect pest in library, so as to grain stored by effective protection, the method generally used at present is that phosphine gas is conveyed into warehouse,
But phosphine gas is harmful, and in order to avoid operating personnel contact with toxic gas, the method for generally use is warehouse ring
Fumigating method is flowed, aluminum phosphate with warm water is reacted and generate phosphine gas, and sent by circulation fan by generator outside hydrogen phosphide storehouse
Enter in warehouse.But this control method is used and is artificially periodically manipulated, it is troublesome in poeration, and the phosphatization in warehouse can not be met
Hydrogen reaches normal concentration.
Invention content
The technical problem to be solved in the present invention is to provide a kind of warehouse recirculation fumigation controlling parties based on fuzzy-adaptation PID control
Method combines FUZZY ALGORITHMS FOR CONTROL and pid control algorithm, realizes the Analysis of Policy Making control of warehouse recirculation fumigation environment.
The technical scheme is that：
A kind of warehouse recirculation fumigation control method based on fuzzy-adaptation PID control, has specifically included following steps：
(1), parameter is blurred：The collected signal of phosphine gas sensor is sent to fuzzy control first
Signal is converted to the linguistic variable for meeting fuzzy control rule by device, fuzzy controller, so as to form the fuzzy change of subsequent rationale
Duration set；
(2), reasoning from logic is carried out to fuzzy variable set：Fuzzy controller establishes computational reasoning criterion, rule definition
It is as follows：
The fuzzy variable subset A of domain U, characterization set μAFor membership function, μA(u) represent that element μ belongs to mould in domain U
The degree of subset A is pasted, codomain is between [0,1]；
When having A and two fuzzy subsets of B, the intersection of A and B are A ∩ B, membership function μA∩B, the union position A ∪ of A and B
B, membership function μA∪B；
μA∩BIt is obtained by formula (1), μA∪BIt is obtained by formula (2)；
μA∩B(u)=min { μA(u),μB(u) }=μA(u)∧μB(u) (1),
μA∪B(u)=max { μA(u),μB(u) }=μA(u)∨μB(u) (2)；
(3), the precision based on criterion calculates：Fuzzy controller refines the membership function value derived,
Then the later exact value of de-fuzzy is sent to PID controller and carries out execution output.
The collected signal of phosphine gas sensor is digital quantity signal or analog signals, passes through step
(1) corresponding digital fuzzy variable set or simulation fuzzy variable set are generated.
The supplementary set of the fuzzy variable subset A is A, membership function μA=1- μA。
Advantages of the present invention：
Since warehouse recirculation fumigation environment is uncertain, unordered environment, there is time variation, erratic behavior, do not know
Property, it is combined using FUZZY ALGORITHMS FOR CONTROL and pid control algorithm and carries out Analysis of Policy Making, ensure that warehouse recirculation fumigation control system is determined
Accuracy, rapidity and the high efficiency of plan analysis.
Specific embodiment
The technical solution in the embodiment of the present invention will be clearly and completely described below, it is clear that described implementation
Example is only part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, this field is common
Technical staff's all other embodiments obtained without making creative work belong to the model that the present invention protects
It encloses.
A kind of warehouse recirculation fumigation control method based on fuzzy-adaptation PID control, it is characterised in that：Following step is specifically included
Suddenly：
(1), parameter is blurred：First by the collected digital quantity signal e of phosphine gas sensor or mould
Analog quantity signal ec is sent to fuzzy controller, and signal is converted to the linguistic variable for meeting fuzzy control rule by fuzzy controller,
So as to form the fuzzy variable set of subsequent rationale (digital fuzzy variable set E or simulation fuzzy variable set Ec)；
(2), reasoning from logic is carried out to fuzzy variable set：Fuzzy controller establishes computational reasoning criterion, rule definition
It is as follows：
The fuzzy variable subset A of domain U, characterization set μAFor membership function, μA(u) represent that element μ belongs to mould in domain U
The degree of subset A is pasted, codomain is between [0,1]；
When having A and two fuzzy subsets of B, the intersection of A and B are A ∩ B, membership function μA∩B, the union position A ∪ of A and B
B, membership function μA∪B；
μA∩BIt is obtained by formula (1), μA∪BIt is obtained by formula (2)；
μA∩B(u)=min { μA(u),μB(u) }=μA(u)∧μB(u) (1),
μA∪B(u)=max { μA(u),μB(u) }=μA(u)∨μB(u) (2)；
The supplementary set of fuzzy variable subset A is, membership function μA=1- μA；
(3), the precision based on criterion calculates：Fuzzy controller by the membership function value derived using centroid method into
Row precision, is then sent to PID controller by the later exact value of de-fuzzy and carries out execution output.
Wherein, centroid method exactly calculates the center of gravity of continuity point in serial continuous output area：
Wherein, U is a certain specific domain, if discrete system, center of gravity ucFor：
It although an embodiment of the present invention has been shown and described, for the ordinary skill in the art, can be with
Understanding without departing from the principles and spirit of the present invention can carry out these embodiments a variety of variations, modification, replace
And modification, the scope of the present invention is defined by the appended.
Claims (3)
1. a kind of warehouse recirculation fumigation control method based on fuzzy-adaptation PID control, it is characterised in that：Following step is specifically included
Suddenly：
(1), parameter is blurred：The collected signal of phosphine gas sensor is sent to fuzzy controller first,
Signal is converted to the linguistic variable for meeting fuzzy control rule by fuzzy controller, so as to form the fuzzy variable collection of subsequent rationale
It closes；
(2), reasoning from logic is carried out to fuzzy variable set：Fuzzy controller establishes computational reasoning criterion, and rule definition is as follows：
The fuzzy variable subset A of domain U, characterization set μAFor membership function, μA(u) represent that element μ belongs to fuzzy son in domain U
Collect the degree of A, codomain is between [0,1]；
When having A and two fuzzy subsets of B, the intersection of A and B are A ∩ B, membership function μA∩B, the union position A ∪ B of A and B,
Membership function is μA∪B；
μA∩BIt is obtained by formula (1), μA∪BIt is obtained by formula (2)；
μA∩B(u)=min { μA(u),μB(u) }=μA(u)∧μB(u) (1),
μA∪B(u)=max { μA(u),μB(u) }=μA(u)∨μB(u) (2)；
(3), the precision based on criterion calculates：Fuzzy controller refines the membership function value derived, then
The later exact value of de-fuzzy is sent to PID controller and carries out execution output.
2. a kind of warehouse recirculation fumigation control method based on fuzzy-adaptation PID control according to claim 1, feature exist
In：The collected signal of phosphine gas sensor is digital quantity signal or analog signals, passes through step (1) life
Into corresponding digital fuzzy variable set or simulation fuzzy variable set.
3. a kind of warehouse recirculation fumigation control method based on fuzzy-adaptation PID control according to claim 1, feature exist
In：The supplementary set of the fuzzy variable subset A isIts membership function is
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| CN201711376066.0A CN108241290A (en) | 2017-12-19 | 2017-12-19 | A kind of warehouse recirculation fumigation control method based on fuzzy-adaptation PID control |
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Citations (6)
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|---|---|---|---|---|
| CN103309233A (en) * | 2013-05-13 | 2013-09-18 | 陕西国防工业职业技术学院 | Designing method of fuzzy PID (Proportion-Integration-Differential) controller |
| CN104663877A (en) * | 2015-02-15 | 2015-06-03 | 安徽大洋自动化科技有限公司 | Intelligent grain drying control method |
| CN205425301U (en) * | 2016-02-24 | 2016-08-03 | 塔里木大学 | Apple warehouse automatic control system |
| CN106127226A (en) * | 2016-06-14 | 2016-11-16 | 河南工业大学 | Grain grain and the flexible grain quality detection method of grain grain test sample |
| CN106227038A (en) * | 2016-07-29 | 2016-12-14 | 中国人民解放军信息工程大学 | Grain drying tower intelligent control method based on neutral net and fuzzy control |
| CN206657260U (en) * | 2017-03-27 | 2017-11-21 | 河南师范大学 | A kind of sweet potato stores intelligence control system |
-
2017
- 2017-12-19 CN CN201711376066.0A patent/CN108241290A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103309233A (en) * | 2013-05-13 | 2013-09-18 | 陕西国防工业职业技术学院 | Designing method of fuzzy PID (Proportion-Integration-Differential) controller |
| CN104663877A (en) * | 2015-02-15 | 2015-06-03 | 安徽大洋自动化科技有限公司 | Intelligent grain drying control method |
| CN205425301U (en) * | 2016-02-24 | 2016-08-03 | 塔里木大学 | Apple warehouse automatic control system |
| CN106127226A (en) * | 2016-06-14 | 2016-11-16 | 河南工业大学 | Grain grain and the flexible grain quality detection method of grain grain test sample |
| CN106227038A (en) * | 2016-07-29 | 2016-12-14 | 中国人民解放军信息工程大学 | Grain drying tower intelligent control method based on neutral net and fuzzy control |
| CN206657260U (en) * | 2017-03-27 | 2017-11-21 | 河南师范大学 | A kind of sweet potato stores intelligence control system |
Non-Patent Citations (2)
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| 李锐等: ""磷化氢环流熏蒸专家***的研制"", 《安徽工业大学学报》 * |
| 魏延辉编著: "《UVMS***控制技术》", 31 December 2016 * |
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