A Fuzzy Adaptive Control Strategy for Active Suspension Systems with Unknown Dynamics

Abstract

A fuzzy adaptive control method is developed for active suspension systems with unknown dynamics. The controlled object is a single-input multiple-output five-order active suspension system with electromagnetic actuator. Fuzzy logic systems (FLSs) are utilized to identify the unknown nonlinear dynamics. Based on the back-stepping design principle and Lyapunov stability theory, the proposed control scheme is proved to guarantee that the closed-loop system is stable. Simulation results are presented to demonstrate the effectiveness of the developed control strategy.