Neural control for a perturbed vehicle steering system using parameter plane method

Abstract

The robust stability analysis of a neural control based vehicle steering system is considered in this paper. The neural controller can be linearized by the use of describing function first. Since the perturbed parameters including velocity and friction are existed in the vehicle steering system, the stability of equivalent linearized system is then analyzed by using the parameter plane method. According to this procedure, the amplitude and frequency of limit cycles caused by the neural controller can be figured out clearly in the parameter plane. Moreover, the limit cycles may be suppressed by adjusting the control factors carefully. Computer simulation shows the efficiency of this approach.