Indoor-environment thermal comfort control method based on novel fuzzy controller

A fuzzy controller and thermal comfort technology, applied in the field of control, can solve problems such as the establishment of fuzzy rules and the complexity of fuzzy reasoning processes

Inactive Publication Date: 2012-07-18
SHANDONG JIANZHU UNIV
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Problems solved by technology

In a multivariable control system, the establishment of fuzzy rules and the process of fuzzy reasoning are more complicated

Method used

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  • Indoor-environment thermal comfort control method based on novel fuzzy controller
  • Indoor-environment thermal comfort control method based on novel fuzzy controller
  • Indoor-environment thermal comfort control method based on novel fuzzy controller

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Embodiment Construction

[0051] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0052] In the indoor environment thermal comfort control of the present invention, PMV=0 is selected as the control target. In the impact of the outdoor environment on the indoor environment, the influence of the temperature and humidity of the outdoor environment on the temperature, humidity and wind speed of the indoor environment is mainly considered. The block diagram of the indoor environment thermal comfort control system is as follows: figure 2 shown. PMVs is the set value of PMV, PMVc is the measured value of PMV, and ΔPMV is the difference between the set value and measured value of PMV. The input of the fuzzy controller is ΔPMV, outdoor temperature and outdoor humidity, and the output is the set value of indoor temperature, humidity and wind speed. The air conditioning equipment will condition the air according to the set values ​​of the i...

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Abstract

The invention discloses an indoor-environment thermal comfort control method based on a novel fuzzy controller. In the method, the influence of the outdoor environment is considered in the original indoor thermal environment control system, and a fuzzy controller based on a matrix left-semi-tensor product is utilized to control the indoor thermal environment. The method solves the problems that decoupling is needed in the original control system, and a fuzzy rule is difficultly determined and the like. Meanwhile, the method can also be applied to other multi-input multi-output control systems. The method comprises the following steps: (1) an outdoor temperature and humidity detection system is utilized to collect data including outdoor temperature and humidity; (2) the data collected in step 1 and a predicted mean vote (PMV) are input into the novel fuzzy controller to be processed, and the numerical values of indoor temperature, humidity and wind speed are output; (3) air regulating equipment regulates indoor air according to the numerical values of indoor temperature, humidity and wind speed; and (4) the indoor-environment thermal comfort is regulated.

Description

technical field [0001] The invention relates to a method for controlling indoor environment thermal comfort based on a novel fuzzy controller, which belongs to the field of control. Background technique [0002] With the improvement of living standards, people's requirements for indoor thermal environment are getting higher and higher. Creating a comfortable, energy-saving and healthy thermal environment is the focus of people's attention all the time. The comfort of indoor thermal environment is usually measured by PMV index. In terms of thermal comfort control, MacArthur introduced the PMV (Predicted Mean Vote) index as the control target into the air conditioning control system for the first time, and proposed a specific control strategy [1] . Then came the optimization theory [2] , fuzzy control [3] , predictive algorithm [4] , based on the Wiener-Laguerre base state space model [5] Indoor thermal comfort control based on PMV index. The outdoor environment has a ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): F24F11/00
Inventor 吕红丽冯俊娥段培永李全民李慧杨修文段晨旭刘兆峰
Owner SHANDONG JIANZHU UNIV
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