Study of Electricity Powered Four-Wheel Steering System Based on Fuzzy Neural Network
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By the analysis of the operational principle of electricity powered four-wheel steering system, a new system based on the fuzzy neural network. Since this is a complex multivariate and non-linear system, by making use of the characteristics of fuzzy control and the neural network, a fuzzy neural network can be established. The speed of car and front-wheel steering angle being the input and steering model being the output, the side-slip angle of the in the process of steering can be control to zero. At last, by emulating this system with the software Matlab/Simulink, it shows that self-healing control technology can effectively control the side-slip angle and improve the motility and stability of a car.
[1] Li Zhai,et al. Electronic differential speed steering control for four in-wheel motors independent drive vehicle , 2011, 2011 9th World Congress on Intelligent Control and Automation.
[2] Yu Wen-ming. Application of Electricity Powered Four-wheel Steering System in Modern Automobile , 2005 .
[3] Lu Zhi-xiong,et al. Simulation Research on Acceleration Slip Regulation System for Four-wheel Drive Tractor Using Fuzzy Control Method , 2010 .
[4] Cui Sheng. Control of four-wheel steering vehicle based on neural network , 2002 .