Study of Electricity Powered Four-Wheel Steering System Based on Fuzzy Neural Network

Abstract:

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.

• Periodical: Applied Mechanics and Materials (Volumes 716-717)
• Pages: 1494-1499
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.716-717.1494
• Online since: December 2014
• Authors: Wei Dong Li*, Yi Zhang
• Keywords: Electricity Powered Four-Wheel Steering, Fuzzy Control, Fuzzy Neural Network, Neural Network

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