Control Study Of Vehicle With 4WS Based On Matlab/Simulink And Neural Network

Four-wheel-steering (4WS) is an important branch of active chassis control technologies. It has great impact on handling and stability of vehicle. The characteristic and control method of 4WS is studied in this paper. The main tasks of this paper are:1. To highlight nonlinear tire that has most contribution to the nonlinear characteristic of vehicle, a three degree of freedom nonlinear vehicle model is formulated. From studying the steady-state equation of vehicle model, some parameters that influence vehicle's response are considered. At last, the vehicle model is established in Simulink.2. The stability of 4WS is analyzed by the stability evaluation index. The control aim of 4WS is illustrated and the control strategy of 4WS is introduced. This paper uses BP neural network, LM arithmetic to train 4WS vehicle controller. Simulation results show that 4WS with neural controller has better vehicle response than two-wheel-steering vehicle.3. By comparing with other 4WS control methods, the neural control 4WS has better effect on handling and stability of vehicle. Considering 4WS with yaw moment control, this paper indicates that 4WS together with other active chassis control technologies will improve the handling and stability of vehicle.In conclusion, some inherent rules and relations of 4WS control are revealed based on the relatively complicated vehicle model in this paper. The 4WS controller is designed and the comparison of various control method is done. The study result will have some value on the handling and stability study as well as the 4WS design.