Multi-objective optimal sliding mode control design of active suspension system with MOPSO algorithm

Abstract

Abstract In order to improve the ride comfort and driving stability of the vehicle, a design method of sliding mode controller based on multi-objective particle swarm optimization algorithm is proposed for the vehicle active suspension. Based on the model of 1/4 vehicle active suspension system, the sliding mode controller is designed by using sliding mode control method. The stability of the sliding mode surface is verified by using Lyapunov stability theory. The stability conditions of the sliding mode surface are obtained by combining Hurwitz stability criterion. The particle swarm optimization algorithm is used to optimize the multi-objective optimization of the active suspension and the numerical simulation is carried out. The results show that after multi-objective parameter optimization, the ride comfort and driving stability of the vehicle are significantly improved, which provides a theoretical basis for the research of the vehicle active suspension system.