NDLI: Control of Four-Wheel-Steering Vehicle Using GA Fuzzy Neural Network

Content Provider	IEEE Xplore Digital Library
Author	Shijing Wu Enyong Zhu Ming Qin Hui Ren Zhipeng Lei
Copyright Year	2008
Description	Author affiliation: Sch. of Power & Mech. Eng., Wuhan Univ., Wuhan (Shijing Wu; Enyong Zhu; Ming Qin; Hui Ren; Zhipeng Lei)
Abstract	In order to improve the handling and stability of four-wheel-steering (4 WS) vehicle, a new 4 WS intelligent control system with genetic algorithm (GA) fuzzy neural network (FNN) was put forward. According to the tire cubic formula, a vehicle nonlinear dynamics model was built. Then a vehicle model based on back-propagation (BP) network was identified from the vehicle dynamics. Next a fuzzy neural network controller was designed. Speed, steering angle of front wheel and lateral acceleration were taken as its input variables and steering angle of rear wheel was taken as its output variable. At last GA was used to optimize the fuzzy neural network controller. The results of computer simulation demonstrate that the 4 WS intelligent control system with GA fuzzy neural network can markedly reduce the side slip angle and the yaw rate compared with linear 4 WS control law and 2 WS control law, the entire control system is robust, and the optimization by GA improves the control performance of controller and the design efficiency.
Starting Page	869
Ending Page	873
File Size	256778
Page Count	5
File Format	PDF
ISBN	9780769533575
DOI	10.1109/ICICTA.2008.237
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-10-20
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Stability Wheels four-wheel-steering Nonlinear dynamical systems Vehicle dynamics neural network Genetic algorithms vehicle genetic algorithm fuzzy control Fuzzy control Fuzzy neural networks Tires Acceleration Intelligent control
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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