Modeling of steering system of high speed intelligent vehicle by system identification

Abstract

Because of the complexity of the modern industrial plant, it is difficult to get the proper mathematical model of the system by using the traditional methods. This makes it difficult in designing the best system controller. According to the control circumstance, the characteristics of control plant and the control aim, choosing the proper system identification algorithm is often a good measure to resolve this kind of problem. In this paper, we choose a generalized least squares algorithm as a system identification algorithm and get the differential equation model of the autonomous navigating intelligent vehicle system (ANIVS). Using this model in the experiment, we resolve the problem of the modeling and control of the steering system of ANIVS satisfactorily.