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
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;
Conference_Titel :
Information Engineering and Computer Science (ICIECS), 2010 2nd International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-7939-9
Electronic_ISBN :
2156-7379
DOI :
10.1109/ICIECS.2010.5678330