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
CN102589092AInactive Publication Date: 2012-07-18SHANDONG JIANZHU UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SHANDONG JIANZHU UNIV
Publication Date
2012-07-18
Estimated Expiration
Not applicable · inactive patent

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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.
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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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