DocumentCode :
523986
Title :
Intelligent Control Algorithm Based on T-S Fuzzy Neural Network PID and its Applications
Author :
Lina, Li ; Xinjie, Wu ; Yang, Yang
Author_Institution :
Coll. of Phys., LiaoNing Univ., Shenyang, China
Volume :
2
fYear :
2010
fDate :
11-12 May 2010
Firstpage :
553
Lastpage :
557
Abstract :
With the combination of T-S fuzzy model and conventional PID controller, as well as by means of the self-learning and self-organizing ability of neural network, an intelligent control algorithm based on T-S fuzzy neural network PID control is presented in this paper. With this control algorithm, an pressure controller for solenoid valve test was designed and the corresponding simulation was carried out to show its highly dynamic and stable traits, strong self-adaptive ability and anti-interference ability of this controller, the simulation results also revealed that the T-S fuzzy neural network PID controller is much better than conventional PID controller and simple fuzzy controller.
Keywords :
fuzzy control; fuzzy neural nets; neurocontrollers; pressure control; solenoids; three-term control; valves; TS fuzzy neural network PID controller; antiinterference ability; intelligent control; pressure controller; self-adaptive ability; self-learning; self-organizing ability; solenoid valve; Algorithm design and analysis; Automatic testing; Fuzzy control; Fuzzy neural networks; Intelligent control; Neural networks; Pressure control; Solenoids; Three-term control; Valves; PID control; T-S model; fuzzy control; neural network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-7279-6
Electronic_ISBN :
978-1-4244-7280-2
Type :
conf
DOI :
10.1109/ICICTA.2010.641
Filename :
5523538
Link To Document :
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