DocumentCode
1900699
Title
Research on the Intelligent Controller for Air-Condition with Frequency Change Based on Fuzzy Neural Network
Author
Wei, Siwei ; Wang, Ruoxi
Author_Institution
Sch. of Automotive Eng., Wuhan Univ. of Technol., Wuhan, China
fYear
2010
fDate
25-26 Dec. 2010
Firstpage
1
Lastpage
4
Abstract
It is difficult to structure a precise math mode in the control of room´s temperature for air-conditioning, because the controlled system has nonlinearity,change parameters, large delay and more disturbing. A new controller based on fuzzy control theory is designed to control room´s temperature for air-conditioning in this paper.In the control,neural network is used to train fuzzy reason parameters and rules.In order to track the character of system,RBF network is used to identify the system in control.Simulating experiment shows that the designed intelligent controller has better controlling effect than other conventional controller.
Keywords
air conditioning; fuzzy control; fuzzy reasoning; neurocontrollers; radial basis function networks; temperature control; RBF network; air-conditioning; frequency change; fuzzy control theory; fuzzy neural network; fuzzy reason parameter; intelligent controller; precise math mode; rooms temperature control; Adaptation model; Artificial neural networks; Atmospheric modeling; Fuzzy control; Fuzzy neural networks; Temperature control;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Engineering and Computer Science (ICIECS), 2010 2nd International Conference on
Conference_Location
Wuhan
ISSN
2156-7379
Print_ISBN
978-1-4244-7939-9
Electronic_ISBN
2156-7379
Type
conf
DOI
10.1109/ICIECS.2010.5678330
Filename
5678330
Link To Document