CN101893851A - Indoor temperature fuzzy control system and method thereof - Google Patents
Indoor temperature fuzzy control system and method thereof Download PDFInfo
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- CN101893851A CN101893851A CN2010102231286A CN201010223128A CN101893851A CN 101893851 A CN101893851 A CN 101893851A CN 2010102231286 A CN2010102231286 A CN 2010102231286A CN 201010223128 A CN201010223128 A CN 201010223128A CN 101893851 A CN101893851 A CN 101893851A
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Abstract
The invention relates to the field of controlling industrial processes, in particular to a fuzzy control system applied to household indoor air conditioning temperature and a method thereof. The fuzzy control system comprises a temperature detector, an amplifier, a comparator, a differentiator, a fuzzy controller, a heater and a cooling water valve. By using a fuzzy control regulation, the control method realizes efficient optimization of an air conditioning fuzzy control method by setting a new error function variable. The system and the method realize automatic control by replacing manual operation with mechanical operation, transform fuzzy languages into numeric calculation, and can ensure high adaptive capacity of the control system.
Description
Technical field
The present invention relates to field that industrial process is controlled, particularly a kind of household room conditioning Fuzzy Control for Temperature system and method thereof of being applied to.
Background technology
At present, along with the trend of energy crisis is more and more serious, environmental protection and power saving are subjected to increasing attention, and are widely used in the field of all trades and professions.Because the progressively raising that people require living environment quality, the energy consumption of the energy consumption of buildings, especially air-conditioning system is increasing at the proportion of total energy consumption.Like this, the development of air conditioner system energy saving problem is trend of the times.
General existing technology is to adopt the solution of simple step control in the means that air conditioner system energy saving reduces discharging this respect, can carry out the refrigerating/heating amount of different size according to the required room temperature and the extraneous temperature difference.But because the refrigerating/heating amount of indoor temperature and air-conditioning is not a simple Linear Control problem, therefore adopt conventional model to be difficult to set up the accurate dynamic equation, therefore such control still has certain limitation.
In addition, the controlled quentity controlled variable of tradition control is a step evolution, and the refrigerating capacity of each grade is fixed, and therefore can not accurately provide indoor required refrigerating/heating amount, is easy to fluctuation occur, is exactly to occur coldly or overheated within a certain period of time, causes certain energy dissipation.
Therefore, how to develop a kind of control requirement that can satisfy the room in different operating modes well, and the control effect curve is level and smooth, fluctuation does not appear, can reduce the room conditioning humidity Fuzzy control system and the method thereof of the energy consumption that produces by the fluctuation of step control as far as possible, become the industry issue that industry comparatively presses for solution.
Summary of the invention
The objective of the invention is to overcome the deficiencies in the prior art, it is a kind of control requirement that can satisfy the room in different operating modes well, and the control effect curve is level and smooth, fluctuation does not appear, can reduce the indoor temperature fuzzy control system of the energy consumption that produces by the fluctuation of step control as far as possible, utilize new regulation to design fuzzy controller, then these fuzzy languages are converted into numerical operation, and can guarantee that control system has the good adaptive ability, has the effect of optimal control method simultaneously.
In order to solve the problems of the technologies described above, the present invention is achieved by the following technical solutions:
A kind of indoor temperature fuzzy control system, comprise hygrosensor, amplifier, comparer, differentiator, fuzzy controller, air-conditioning power consumption control system, described hygrosensor is arranged on indoor, links to each other the output terminal output humidity deviation signal of comparer with comparator input terminal; The output terminal of described comparer links to each other successively with the input end of differentiator, amplifier and fuzzy controller, and the output terminal of fuzzy controller is connected with the air-conditioning power consumption control system by amplifier.
Further, described air-conditioning power consumption control system comprises well heater and cooling water valve, and the signal that receives fuzzy controller output by amplifier freezes or heats adjusting.
To a kind of room conditioning fuzzy control method of the present invention is to utilize fuzzy control rule to carry out following steps:
(A) at first detect indoor temperature, export the humidity deviation signal of identical preset signals by comparer by hygrosensor;
(B) described temperature error signal is by differentiator output humidity rate of change signal;
(C) described temperature error signal and humidity rate of change signal are imported fuzzy controller through behind the amplifier jointly;
(D) described fuzzy controller carries out obfuscation to input signal, draws fuzzy value according to fuzzy rule;
(E) described fuzzy controller carries out defuzzification according to the fuzzy value that draws to output signal, obtains needed refrigeration or heating capacity;
(F) output terminal of fuzzy controller is realized the effective control to room temperature by the amplifier control signal after the output of well heater and cold air penstock is amplified respectively.
Further, middle temperature error signal of described step (D) and rate of temperature change signal be error e and the error rate c through producing behind the amplifier jointly, is input to Fuzzy control system through behind the fuzzy reasoning.
Further, in step (E), output signal carried out defuzzification after output controlled quentity controlled variable q, the required refrigeration that obtains determining or the numerical value of heating capacity.
More specifically, be-6 to 6 at the domain of the temperature error e described in the step (D), the domain of error rate c is-6 to 6.
More specifically, be-7 to 7 at the controlled quentity controlled variable q domain described in the step (E).
As preferred version, in step (D), newly set up the subordinate function of an error e, null value is set to the single triangle of positive zero and distributes, in order to improve the effect of convergence temperature.
As another preferred version, in step (D), newly set up the subordinate function of an error e, null value is set to two triangles of positive zero-sum negative zero and distributes, in order to improve the response speed of convergence temperature.
The invention has the beneficial effects as follows:
(1) fuzzy controller being applied in the room conditioning control system, serves as the control input with temperature error and error rate, and the refrigerating/heating amount is control output, realizes the step control of air-conditioning system;
(2) eliminated because tradition is controlled the fluctuation problem that excessive control causes, thereby reached the purpose of energy efficient;
(3) optimization method of air-conditioning Fuzzy control system has been proposed, and in addition analogue simulation checking.
(4) adopted the method optimization new regulation of fuzzy control, and utilize these Rule Design to go out controller, then these fuzzy languages are converted into numerical operation, thereby realize that machine replaces the people to finish automatic control, these fuzzy languages are converted into numerical operation, and can guarantee that control system has the good adaptive ability.
Description of drawings
Fig. 1 is the one-piece construction synoptic diagram of room conditioning Fuzzy control system of the present invention;
Fig. 2 is the control principle synoptic diagram of fuzzy controller of the present invention;
Fig. 3 is the subordinate function figure of temperature error e;
Fig. 4 is the subordinate function figure of error rate c;
Fig. 5 is the subordinate function figure of controlled quentity controlled variable q;
Fig. 6 is first group of digital simulation figure as a result;
Fig. 7 is second group of digital simulation figure as a result;
Fig. 8 is the 3rd group of digital simulation figure as a result;
Fig. 9 is the 4th group of digital simulation figure as a result;
Figure 10 is the subordinate function figure that newly sets up error q;
Figure 11 is the analog result figure of new controller shown in Figure 10;
Figure 12 is the subordinate function figure that newly sets up error e;
Figure 13 is the analog result figure of new controller shown in Figure 12.
Embodiment
Reach technological means and the effect that predetermined purpose is taked for further setting forth the present invention,, be described in detail as follows below in conjunction with accompanying drawing and preferred embodiment.
As shown in Figure 1, a kind of room conditioning Fuzzy control system comprises hygrosensor, amplifier, comparer, differentiator, fuzzy controller, air-conditioning power consumption control system, described hygrosensor is arranged on indoor, link to each other the output terminal output temperature deviation signal of comparer with comparator input terminal; The output terminal of described comparer links to each other successively with the input end of differentiator, amplifier and fuzzy controller, and the output terminal of fuzzy controller is connected with the air-conditioning power consumption control system by amplifier.Described air-conditioning power consumption control system comprises well heater and cooling water valve, and the signal that receives fuzzy controller output by amplifier freezes or heats adjusting.
As shown in Figure 2, be example with a vacant room, this room and outdoor environment have heat exchange, and system is carried out emulation.The requirement system can be controlled at indoor temperature the temperature of requirement under a certain outdoor temperature environment.
To require temperature T
sWith error e and the error rate c of real-time room temperature T be the input of fuzzy controller, be the output of fuzzy controller with the refrigerating/heating amount q of air-conditioning system.
To shown in Figure 5, a kind of room conditioning fuzzy control method comprises the following steps of utilizing fuzzy control rule that indoor temperature is controlled as Fig. 3:
(A) at first detect indoor humidity, export the humidity deviation signal of identical preset signals by comparer by hygrosensor;
(B) described humidity deviation signal is by differentiator output humidity rate of change signal;
(C) described humidity deviation signal and humidity rate of change signal are imported fuzzy controller through behind the amplifier jointly;
(D) described fuzzy controller carries out obfuscation to input signal, draws fuzzy value according to fuzzy rule;
(E) described fuzzy controller carries out defuzzification according to the fuzzy value that draws to output signal, obtains needed refrigeration or heating capacity;
(F) output terminal of fuzzy controller is realized the effective control to room temperature by the amplifier control signal after the output of well heater and cold air penstock is amplified respectively.
Wherein, The Design of Fuzzy Logic Controller is systematic comparison the key link, need carry out obfuscation to temperature error e and error rate c, carries out ambiguity solution output controlled quentity controlled variable q behind fuzzy reasoning, the numerical value that output is at last determined.
The domain of choosing temperature error e, error rate c and controlled quentity controlled variable q is respectively:
e＝{-6，-5，-4，-3，-2，-1，0，1，2，3，4，5，6}；
c＝{-6，-5，-4，-3，-2，-1，0，1，2，3，4，5，6}；
q＝{-7，-6，-5，-4，-3，-2，-1，0，1，2，3，4，5，6，7}。
E, the language value of c and q is elected as respectively:
E={ is negative big, and is negative little in bearing, and zero, just little, the center, honest
C={ is negative big, and is negative little in bearing, and zero, just little, the center, honest
The following fuzzy control rule table of reference:
The method of ambiguity solution adopts gravity model appoach among the described step D.Select for use gravity model appoach to carry out ambiguity solution, according to the temperature error signal and the rate of temperature change signal of input, the subordinate function figure by separately draws corresponding blurred signal and blurred signal weights respectively.Is 1 to fuzzy controller such as the input of deviation after amplifying, and it is that zero-sum is just little through the signal of obfuscation so as can be seen from Figure 3, and weights are respectively 0.5 and 0.5.Be converted into the obfuscation signal of output signal then through fuzzy rule, the method that usefulness is separated center of gravity draws value accurately on the subordinate function figure of humidification amount and resh air requirement, through amplifying the output as system.
As shown in Figs. 8 to 11, below adopt four groups of preferred temperature T
sWith ambient temperature T
0Operating mode under carry out emulation.
With reference to following table
No matter first group to the 4th group digital simulation simulation result such as Fig. 6 are that the requirement temperature is higher or lower than ambient temperature to shown in Figure 9, and indoor temperature all can reach convergence, and convergence time remains in the scope of 500-600s substantially.As seen adopt fuzzy controller can realize the requirement of system.
As shown in figure 10, as advantageous embodiment, newly set up the subordinate function of an error e in step (D), null value is set to the single triangle of positive zero and distributes, in order to improve the effect of convergence temperature.The analog result of new controller as shown in figure 11, obviously new subordinate function can make room temperature converge to the temperature of requirement well.As seen near the subordinate function the subordinate function of fuzzy controller output valve, the especially null value output result's degree of convergence is played a part very big, but do not change its speed of convergence.
As shown in figure 12, as another kind of advantageous embodiment, newly set up the subordinate function of an error e in step (D), null value is set to two triangles of positive zero-sum negative zero and distributes, in order to improve the response speed of convergence temperature.The analog result of new controller as shown in figure 13 as seen, speed of convergence roughly is about 400-500s, than the lifting that has had before about 100s.This shows, adopt suitable fuzzy rule and input membership function to increase speed of convergence.
Obviously the foregoing description is not a limitation of the present invention, and above-mentioned a kind of indoor temperature fuzzy control system and method thereof can also have other many variations.Though gone through the present invention in conjunction with above-mentioned example, some that should be understood that professional person in the industry can expect apparently are identical, and alternative scheme is within the protection domain that all falls into claim of the present invention and limited.
Claims (9)
1. indoor temperature fuzzy control system, it is characterized in that, comprise hygrosensor, amplifier, comparer, differentiator, fuzzy controller, air-conditioning power consumption control system, described hygrosensor is arranged on indoor, link to each other the output terminal output temperature deviation signal of comparer with comparator input terminal; The output terminal of described comparer links to each other successively with the input end of differentiator, amplifier and fuzzy controller, and the output terminal of fuzzy controller is connected with the air-conditioning power consumption control system by amplifier.
2. indoor temperature fuzzy control system according to claim 1 is characterized in that, described air-conditioning power consumption control system comprises well heater and cooling water valve, and the signal that receives fuzzy controller output by amplifier freezes or heats adjusting.
3. an indoor temperature fuzzy control method is characterized in that, comprises the following steps of utilizing fuzzy control rule that the room conditioning system is controlled:
(A) at first detect indoor temperature, export the humidity deviation signal of identical preset signals by comparer by hygrosensor;
(B) described temperature error signal is by differentiator output temperature rate of change signal;
(C) described temperature error signal and humidity rate of change signal are imported fuzzy controller through behind the amplifier jointly;
(D) described fuzzy controller carries out obfuscation to input signal, draws fuzzy value according to fuzzy rule;
(E) described fuzzy controller carries out defuzzification according to the fuzzy value that draws to output signal, obtains needed refrigeration or heating capacity;
(F) output terminal of fuzzy controller is realized the effective control to room temperature by the amplifier control signal after the output of well heater and cold air penstock is amplified respectively.
4. indoor temperature fuzzy control method according to claim 3, it is characterized in that, middle temperature error signal of described step (D) and rate of temperature change signal be error e and the error rate c through producing behind the amplifier jointly, is input to Fuzzy control system through behind the fuzzy reasoning.
5. indoor temperature fuzzy control method according to claim 4 is characterized in that, in step (E), output signal carried out defuzzification after output controlled quentity controlled variable q, the required refrigeration that obtains determining or the numerical value of heating capacity.
6. indoor temperature fuzzy control method according to claim 5 is characterized in that, is-6 to 6 at the domain of the temperature error e described in the step (D), and the domain of error rate c is-6 to 6.
7. indoor temperature fuzzy control method according to claim 6 is characterized in that, is-7 to 7 at the controlled quentity controlled variable q domain described in the step (E).
8. indoor temperature fuzzy control method according to claim 7 is characterized in that, newly sets up the subordinate function of an error e in step (D), and null value is set to the single triangle of positive zero and distributes, in order to improve the effect of convergence temperature.
9. indoor temperature fuzzy control method according to claim 7 is characterized in that, newly sets up the subordinate function of an error e in step (D), and null value is set to two triangles of positive zero-sum negative zero and distributes, in order to improve the response speed of convergence temperature.
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN104381097A (en) * | 2014-11-21 | 2015-03-04 | 无锡悟莘科技有限公司 | Fuzzy control irrigation system |
| CN104719100A (en) * | 2014-11-21 | 2015-06-24 | 无锡悟莘科技有限公司 | Fuzzy control irrigation method |
| CN105046595A (en) * | 2015-07-24 | 2015-11-11 | 武汉泰康翔科技有限公司 | Internet-of-things technology based energy efficiency assessment and diagnosis cloud system and method |
| CN107883529A (en) * | 2017-10-30 | 2018-04-06 | 海南电网有限责任公司电力科学研究院 | A kind of central air conditioner system temprature control method based on fuzzy technology |
| CN109416192A (en) * | 2016-07-07 | 2019-03-01 | 三菱电机株式会社 | Air conditioning control device, air-conditioning control method, air handling system and the house with air conditioning |
| CN110376896A (en) * | 2019-07-30 | 2019-10-25 | 浙江大学 | It is a kind of that refrigerating method is optimized based on deep learning and the single heat source air-conditioning of fuzzy control |
| CN110471285A (en) * | 2019-08-22 | 2019-11-19 | 中南大学 | Based on the event driven zinc abstraction roasting process fuzzy control method of trend |
| CN113514076A (en) * | 2020-04-09 | 2021-10-19 | 阿里巴巴集团控股有限公司 | Data processing method, device, equipment and storage medium |
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2010
- 2010-07-12 CN CN2010102231286A patent/CN101893851A/en active Pending
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104381097A (en) * | 2014-11-21 | 2015-03-04 | 无锡悟莘科技有限公司 | Fuzzy control irrigation system |
| CN104719100A (en) * | 2014-11-21 | 2015-06-24 | 无锡悟莘科技有限公司 | Fuzzy control irrigation method |
| CN105046595A (en) * | 2015-07-24 | 2015-11-11 | 武汉泰康翔科技有限公司 | Internet-of-things technology based energy efficiency assessment and diagnosis cloud system and method |
| CN105046595B (en) * | 2015-07-24 | 2021-12-28 | 武汉泰康翔科技股份有限公司 | Energy efficiency assessment and diagnosis cloud system and method based on Internet of things technology |
| CN109416192A (en) * | 2016-07-07 | 2019-03-01 | 三菱电机株式会社 | Air conditioning control device, air-conditioning control method, air handling system and the house with air conditioning |
| CN107883529A (en) * | 2017-10-30 | 2018-04-06 | 海南电网有限责任公司电力科学研究院 | A kind of central air conditioner system temprature control method based on fuzzy technology |
| CN110376896A (en) * | 2019-07-30 | 2019-10-25 | 浙江大学 | It is a kind of that refrigerating method is optimized based on deep learning and the single heat source air-conditioning of fuzzy control |
| CN110471285A (en) * | 2019-08-22 | 2019-11-19 | 中南大学 | Based on the event driven zinc abstraction roasting process fuzzy control method of trend |
| CN110471285B (en) * | 2019-08-22 | 2020-12-22 | 中南大学 | Trend event driven fuzzy control method for zinc smelting roasting process |
| CN113514076A (en) * | 2020-04-09 | 2021-10-19 | 阿里巴巴集团控股有限公司 | Data processing method, device, equipment and storage medium |
| CN113514076B (en) * | 2020-04-09 | 2024-05-14 | 阿里巴巴集团控股有限公司 | Data processing method, device, equipment and storage medium |
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Application publication date: 20101124 |