DocumentCode :
1714757
Title :
Study of the Fuzzy Neural Network Control used in a new type of household central air conditioning
Author :
Lin Fei ; Yu Chunxuan
Author_Institution :
Beijing Univ. of Technol., Beijing, China
fYear :
2013
Firstpage :
3510
Lastpage :
3514
Abstract :
This paper introduces a method of control for a new type of household central air conditioning system which is designed for a new building mode with multilayer envelope. According to system´s characteristics such as multi-variable, large hysteresis and non-linear, this paper establishes suitable system architecture and proposes a control method based on fuzzy neural network. With fuzzy neural network´s forward propagation and feedback, the system completes fuzzy reasoning and self-learning process. So it can quickly and accurately analyze the measure data in order to achieve real-time control effects. At last experimental results show that the control method is feasible and has a good dynamic and steady - state performance.
Keywords :
air conditioning; backpropagation; control system synthesis; feedback; fuzzy neural nets; fuzzy reasoning; neurocontrollers; building mode; control effects; feedback; forward propagation; fuzzy neural network control; fuzzy reasoning process; household central air conditioning system; large hysteresis characteristics; multilayer envelope; multivariable characteristics; nonlinear characteristics; self-learning process; Central air conditioning; Fuzzy control; Fuzzy neural networks; Neural networks; Shock absorbers; Temperature distribution; BP algorithm; Fuzzy neural network; Household central air conditioning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (CCC), 2013 32nd Chinese
Conference_Location :
Xi´an
Type :
conf
Filename :
6640028
Link To Document :
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