An Intelligent Fuzzy Controller for Air-condition with Frequency Change

被引:1
|
作者
Zhang, Zipeng [1 ]
Wang, Shuqing [1 ]
Yuan, Xiaohui [2 ]
机构
[1] Hubei Univ Technol, Wuhan 430068, Peoples R China
[2] Huazhong Univ Sci & Technol, Wuhan 430074, Peoples R China
关键词
Intelligent control; fuzzy neural network; air-condition with frequency change; room temperature; NEURAL-NETWORKS; SYSTEMS;
D O I
10.1109/AICI.2009.458
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
It is difficult using conventional PID or fuzzy control way to control air-condition to get good control performance, because the environment of room temperature is complicated and it is difficult to get precise mathematics model for the control of air-condition with frequency change. An improved intelligent controller is designed to control air-condition based on fuzzy neural network in this paper. Controller parameters can be trained via neural network quickly in control. In training and learning, improved learning way is employed to train parameters of fuzzy neural network. So the designed controller has strong self-adapting character in controlling process. Simulating experiment shows that the designed controller has better controlling effect than other conventional fuzzy controller and control parameters are easy to obtain.
引用
收藏
页码:578 / +
页数:2
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