CN106054988A - Intelligent control method for air temperature and humidity of greenhouse in facility agriculture - Google Patents
Intelligent control method for air temperature and humidity of greenhouse in facility agriculture Download PDFInfo
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- CN106054988A CN106054988A CN201610504220.7A CN201610504220A CN106054988A CN 106054988 A CN106054988 A CN 106054988A CN 201610504220 A CN201610504220 A CN 201610504220A CN 106054988 A CN106054988 A CN 106054988A
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- error
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D27/00—Simultaneous control of variables covered by two or more of main groups G05D1/00 - G05D25/00
- G05D27/02—Simultaneous control of variables covered by two or more of main groups G05D1/00 - G05D25/00 characterised by the use of electric means
Abstract
The invention relates to an intelligent control method for an air temperature and humidity of a greenhouse in facility agriculture. According to the method, two fuzzy controllers and a coordinating controller work cooperatively; the coordinating controller identifies a current operation state of a system; when an error is large, the fuzzy controller I is selected, so that temperature and humidity parameters fall back to a reasonable zone rapidly; and when an error is small, the fuzzy controller II is selected, so that temperature and humidity parameters are stabilized in a small range close to a target value. With the method, problems of large overshoot and low stability precision of the traditional single-structure fuzzy control method can be solved. Moreover, because the coupling relation between environment factors are taken into consideration fully by a multi-factor coordination control strategy, the regulation way is more scientific and reasonable than the single-factor control way.
Description
Technical field
The present invention relates to a kind of warmhouse booth temperature and humidity regulation method, particularly one and be applied to industrialized agriculture warmhouse booth
Aerial temperature and humidity intelligent control method.
Background technology
Greenhouse is the important component part of China's industrialized agriculture, when external environmental condition is unfavorable for plant growth, and greenhouse
Utilize it to go along with sb. to guard him facility and environment conditioning equipment can ensure its normal productive process, for improving crop yield and quality, stablizing
Provand, ensure food safety significant.The environmental variable needing regulation and control in greenhouse includes temperature, light, water, gas, fertilizer
Deng, wherein, air themperature and air humidity are the leading environment factors in facility, the most notable on crop growth impact.
Greenhouse system has multivariate, non-linear, close coupling and the feature of large time delay, it is difficult to by Traditional control side
Method is set up its accurate mathematical model and is controlled, and fuzzy control method need not set up the accurate mathematical modulo of control system
Type, uses Illuminative design method, the control experience of human expert is converted to the control rule that computer is able to carry out, very
It is suitable for greenhouse flower process.
The fuzzy control method majority being applied to greenhouse flower process at present uses the form of conventional single structure, often
Rule fuzzy control has the advantage such as fast response time, strong robustness, but it exists the problem that stable state accuracy is undesirable, it is impossible to meet
The control requirement of warmhouse booth humiture, so needing to find the fuzzy control method of a kind of improvement, improves humiture Fuzzy Control
The stable state accuracy of system.
In the prior art, Publication No. CN102354119A discloses entitled " a kind of facility agricultural environment intelligent control
Method processed ", use the method that MPT control algolithm combines with fuzzy control to temperature, humidity, CO in facility2Concentration, harmful
The ambient parameters such as gas concentration carry out Based Intelligent Control, when deviation is more than a certain thresholding, select fuzzy control；When deviation is reduced to
Time below this thresholding, switch to MPT algorithm controls, reduce system overshoot and elimination is remaining poor；But this intelligent control method exists
When switching to MPT algorithm controls, use single-factor control mode, be controlled just for ambient parameter a kind of in facility,
And each envirment factor exists considerable degree of coupling phenomenon in facility, other envirment factor can be produced by the regulation and control to a kind of factor
Impact, therefore the method does not considers influencing each other between envirment factor during controlling, and fails to realize the multiple-factor of environment
Control.
Publication No. CN103217905A discloses that entitled " a kind of industrialized agriculture warmhouse booth ambient parameter is self-adaptive controlled
Method processed ", based on greenhouse adaptive databases, use multilevel mode conversion and control mode, it is achieved warmhouse booth environment is joined
Number and the Self Adaptive Control of actuator；Described multilevel mode conversion and control mode is between ambient parameter actual value and setting value
Deviation more than setting value time, select fuzzy control method, when this deviation is in setting value threshold range, use PID control
Mode；But this intelligent control method is when switching to pid control algorithm, employing be still single-factor control mode, fail to combine
Closing and consider influencing each other between envirment factor, the multiple-factor failing to realize environment controls.
Therefore, warmhouse booth humiture fuzzy control improved method of the prior art all have certain imperfection it
Place, needs to propose a kind of new industrialized agriculture warmhouse booth temperature and humidity intelligent control method, is allowed to ensure that environment is joined
Number control systems have a good stable state accuracy, and can take into full account influencing each other between an envirment factor, it is achieved many because of
Son regulation and control, improve science and the reasonability of control process.
Summary of the invention
It is an object of the invention to provide one and be applied to industrialized agriculture warmhouse booth aerial temperature and humidity intelligent control method, with
Solve warmhouse booth routine fuzzy control method stable state accuracy low, the problem that regulation and control level is undesirable.
It is an object of the invention to be reached by following measure.
One is applied to industrialized agriculture warmhouse booth aerial temperature and humidity intelligent control method, and described control method is provided with
Two fuzzy controllers and a tuning controller collaborative work, the operation shape that described tuning controller identification system is presently in
State, selects fuzzy controller (1) [A1], makes humiture parameter quickly fall back in reasonable interval, in error when error is bigger
Fuzzy controller (2) is selected, in making the humiture parameter stability little scope near desired value time less.
In technique scheme, described tuning controller is using air themperature error and air humidity error as state
Feature identification amount, includes two decision ruless；When air themperature error or air humidity error are beyond prescribed threshold, select
Fuzzy controller (1) carries out quick control；When air themperature error and air humidity error are all in prescribed threshold, select mould
Fuzzy controllers (2) finely controls.
In technique scheme, described fuzzy controller (1) is to use multiple-factor control mode, inputs as temperature error
And humidity error, set negative big, negative little, zero, five fuzzy sets the least, honest, be output as controlling stronger supporting of effect and set
Standby controlled quentity controlled variable, sets unlatching, closes two output fuzzy sets, complete humiture quick control.
In technique scheme, described fuzzy controller (2) is to use multiple-factor control mode, inputs into temperature by mistake
Difference, humidity error and solar radiation quantity, for temperature error and humidity error, be set with negative big, negative little, zero, the least, honest five
Individual fuzzy set, for solar radiation quantity, be set with little, zero, big three fuzzy sets, be output as more weak supporting of control action
Equipment controlled quentity controlled variable, for vent window, be set with fully closed, little open, open greatly, standard-sized sheet four output fuzzy set, for miscellaneous equipment
It is set with unlatching, closes two output fuzzy sets, complete humiture precise controlling.
Compared with prior art, have the advantage that and good effect are to solve temperature the technical solution of the present invention
Room booth aerial temperature and humidity regulates and controls this complicated problem, on the premise of Guarantee control system rapidity, improves stable state
Precision, takes into full account influencing each other between each factor, uses multiple-factor control mode to realize air themperature and air humidity
Optimized control, achieves prominent effect.
Accompanying drawing explanation
Fig. 1 is this warmhouse booth temperature and humidity intelligent control method schematic diagram.
Detailed description of the invention
For the ease of understanding the purpose of the present invention, technical scheme and advantage, the concrete reality to the present invention below in conjunction with the accompanying drawings
The mode of executing makes further instructions.Should be appreciated that specific embodiments described herein is used only for explaining the present invention, and
It is not used in and limits the invention.
As shown in Figure 1, above-mentioned the provided a kind of Air Temperature being applied to industrialized agriculture warmhouse booth of the present invention is implemented
Intelligent humidity control method, is designed with the fuzzy controller of two different structures and a tuning controller collaborative work, according to
Different range residing for humiture parameter, is divided into " quick control " and " precise controlling " two states by system operation, association
The running status being presently in controller identification system automatically selects fuzzy controller.Mould is selected under " quick control " state
Fuzzy controllers 1, makes aerial temperature and humidity quickly fall back in zone of reasonableness；Fuzzy controller 2 is selected under " precise controlling " state,
In making the stable little scope near desired value of aerial temperature and humidity.
Described tuning controller, using air themperature error and air humidity error as state feature identification amount, is being implemented
Example carries out a characteristic parameter identification every 2min, comprises 2 decision ruless.When temperature error is more than 2 DEG C or humidity error
During more than 3%RH, system is in quick control state, selects fuzzy controller 1, and it is relatively strong that this controller controls effect, can make warm and humid
Degree error quickly falls back in reasonable interval；When temperature error is less than or equal to 2 DEG C and humidity error is less than or equal to 3%RH, select
Fuzzy controller 2, this controller control action is little, can finely control humiture parameter.
Described fuzzy controller 1 realizes quickly controlling, it is not necessary to too much control rule, input selects temperature error
And humidity error, in embodiment, the continuous domain of input temp error is [-6,6], input humidity error continuous domain be [-
12,12].Set five input fuzzy sets, i.e. negative big, negative little, zero, the least, honest, membership function selects triangular form.
It is output as the corollary equipment that control action is stronger, including heater (total power), vent window (standard-sized sheet or fully closed), blower fan, wet curtain
With the controlled quentity controlled variable of humidifier, the continuous domain of each output is [0,1], and every kind of equipment only opens and closes two states,
Setting two output fuzzy sets, i.e. { open, close }, membership function shape selects single-point type.Fuzzy controller 1 final
The reasoning results is any value in [0,1], it is stipulated that when the reasoning results is less than 0.5, equipment is closed；When the reasoning results is more than
When 0.5, opening of device.Under quick control state, system carries out a fuzzy decision every 2min.
Described fuzzy controller 2 control action is less, precision is higher, needs to consider the impact of all kinds of factor, therefore
Increase this factor of solar radiation quantity, i.e. input for temperature error, humidity error and solar radiation quantity.Temperature is by mistake in an embodiment
The continuous domain of difference input is [-2,2], and the continuous domain of humidity error input is [-3,3], and both of which sets five input moulds
Stick with paste set, i.e. negative big, negative little, zero, the least, honest；The continuous domain of solar radiation quantity is [0,2500], sets three input moulds
Stick with paste set, i.e. { little, zero, big }, be output as the corollary equipment that control action is more weak, (complete including heater (half-power), vent window
Close, 1/3 aperture, 2/3 aperture, standard-sized sheet) and humidifier.For heater and humidifier controlled quentity controlled variable, continuous domain is [0,1],
Setting two output fuzzy sets, i.e. { open, close }, it is stipulated that when the reasoning results is less than 0.5, equipment is closed, when reasoning is tied
When fruit is more than 0.5, open equipment.For vent window, its continuous domain is [0,3], and fuzzy set thereon is that A(is fully closed), B
(1/3 aperture), C(2/3 aperture), D(standard-sized sheet), it is stipulated that when the reasoning results less than 0.5 time, vent window is fully closed, when the reasoning results is big
During in 0.5 and less than 1.5, vent window 1/3 opens, and when the reasoning results is more than 1.5 and less than 2.5, vent window 2/3 is opened, when
When the reasoning results is more than 2.5, vent window standard-sized sheet.Under precise controlling state, system carries out a fuzzy decision every 1min.
The enforcement of technical scheme in sum, its feature is that the present invention improves warmhouse booth humiture fuzzy control side
The stable state accuracy of method, is simultaneously achieved the multiple-factor regulation and control of environment in facility, achieves good control effect.
Claims (3)
1. being applied to an industrialized agriculture warmhouse booth aerial temperature and humidity intelligent control method, described control method is provided with two
Individual fuzzy controller and a tuning controller collaborative work, the operation shape that described tuning controller identification system is presently in
State, selects fuzzy controller (1), makes humiture parameter quickly fall back in reasonable interval when error is bigger, less in error
Time select fuzzy controller (2), in making the humiture parameter stability little scope near desired value.
Control method the most according to claim 1, described tuning controller is to miss with air themperature error and air humidity
Difference, as state feature identification amount, includes two decision ruless；When air themperature error or air humidity error are beyond regulation
During threshold values, fuzzy controller (1) is selected to carry out quick control；When air themperature error and air humidity error are all in prescribed threshold
Time interior, fuzzy controller (2) is selected to finely control.
Control method the most according to claim 1, described fuzzy controller (1) is to use multiple-factor control mode, input
For temperature error and humidity error, set negative big, negative little, zero, five fuzzy sets the least, honest, be output as controlling effect relatively
Strong corollary equipment controlled quentity controlled variable, sets unlatching, closes two output fuzzy sets, complete humiture quick control.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610504220.7A CN106054988A (en) | 2016-07-01 | 2016-07-01 | Intelligent control method for air temperature and humidity of greenhouse in facility agriculture |
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| CN201610504220.7A CN106054988A (en) | 2016-07-01 | 2016-07-01 | Intelligent control method for air temperature and humidity of greenhouse in facility agriculture |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107918424A (en) * | 2017-11-17 | 2018-04-17 | 深圳春沐源控股有限公司 | A kind of method and system for controlling plant growth environment |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP0238979A2 (en) * | 1986-03-25 | 1987-09-30 | Siemens Aktiengesellschaft | Temperature and humidity control arrangement |
| CN103217905A (en) * | 2013-04-22 | 2013-07-24 | 太原理工大学 | Facility agriculture greenhouse environment parameter self-adaptation controlling method |
| CN104375415A (en) * | 2014-12-09 | 2015-02-25 | 长沙瑞和数码科技有限公司 | Temperature and humidity control algorithm for intensive curing barn controller |
-
2016
- 2016-07-01 CN CN201610504220.7A patent/CN106054988A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP0238979A2 (en) * | 1986-03-25 | 1987-09-30 | Siemens Aktiengesellschaft | Temperature and humidity control arrangement |
| CN103217905A (en) * | 2013-04-22 | 2013-07-24 | 太原理工大学 | Facility agriculture greenhouse environment parameter self-adaptation controlling method |
| CN104375415A (en) * | 2014-12-09 | 2015-02-25 | 长沙瑞和数码科技有限公司 | Temperature and humidity control algorithm for intensive curing barn controller |
Non-Patent Citations (1)
| Title |
|---|
| 韩毅等: ""基于物联网的日光温室智能监控系统设计与实现"", 《北方园艺》 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107918424A (en) * | 2017-11-17 | 2018-04-17 | 深圳春沐源控股有限公司 | A kind of method and system for controlling plant growth environment |
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