Integrated control of vehicle suspension and steering systems based on grey-fuzzy control algorithm

This paper investigates the integration control of various subsystems of vehicle chassis. The specific focus of this research is the integration control of suspension and steering systems, and the four degrees of freedom integrated vehicle model is developed as well, while taking the interactions of the two subsystems into account. To enhance the performance of Traditional Fuzzy Controller (TFC), a grey-fuzzy controller based on the grey prediction algorithm that used to estimate the next-step output of system is proposed. In addition, an Integrated Grey-Fuzzy Control (IGFC) approach is presented to improve the performance, and the stability of the integrated vehicle system under uneven road disturbance. Based on the proposed methodology, the simulation results show that the performance of the IGFC is superior to that of passive control and TFC.