DocumentCode
3032725
Title
An Intelligent Fuzzy Controller for Air-condition with Frequency Change
Author
Zhang, Zipeng ; Wang, Shuqing ; Yuan, Xiaohui
Author_Institution
Hubei Univ. of Technol., Wuhan, China
Volume
3
fYear
2009
fDate
7-8 Nov. 2009
Firstpage
578
Lastpage
581
Abstract
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.
Keywords
air conditioning; control system synthesis; fuzzy control; fuzzy neural nets; intelligent control; air-condition control; frequency change; fuzzy neural network; intelligent fuzzy controller; room temperature; Frequency; Fuzzy control; Fuzzy neural networks; Intelligent networks; Mathematical model; Mathematics; Neural networks; Process control; Temperature control; Three-term control; Intelligent control; air-condition with frequency change; fuzzy neural network; room temperature;
fLanguage
English
Publisher
ieee
Conference_Titel
Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-3835-8
Electronic_ISBN
978-0-7695-3816-7
Type
conf
DOI
10.1109/AICI.2009.458
Filename
5376831
Link To Document