DocumentCode :
3470057
Title :
Fuzzy Neural Network PID Control for Electric Power Steering System
Author :
Zang, Huaiquan ; Liu, Min
Author_Institution :
Univ. of Yan Shan, Yan Shan
fYear :
2007
fDate :
18-21 Aug. 2007
Firstpage :
643
Lastpage :
648
Abstract :
The automobile mathematical model is established on the analysis to the automobile electric power steering system (EPS) structural style and the performance. In order to solve the problem that the most automobile power steering is difficult to determine the PID controller parameter, the article uses the fuzzy neural network PID control in EPS. Through the simulation of PID control and the fuzzy neural network PID control computation, the test result indicated that, fuzzy neural network PID the control EPS system has a better robustness compared to traditional PID the control EPS, can improve EPS effectively the steering characteristic and the automobile changes characteristic well.
Keywords :
automobiles; fuzzy control; fuzzy neural nets; neurocontrollers; robust control; steering systems; three-term control; automobile mathematical model; electric power steering system; fuzzy neural network PID control; structural style; Automobiles; Computational modeling; Control systems; Fuzzy control; Fuzzy neural networks; Mathematical model; Performance analysis; Power steering; Steering systems; Three-term control; PID control; electric power steering; fuzzy neural network PID control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automation and Logistics, 2007 IEEE International Conference on
Conference_Location :
Jinan
Print_ISBN :
978-1-4244-1531-1
Type :
conf
DOI :
10.1109/ICAL.2007.4338643
Filename :
4338643
Link To Document :
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