Abstract: Based on the intelligent optimization method combining genetic algorithm and improved particle swarm optimization algorithm, we optimized the vehicle sliding mode controller, and on the basis of which it was applied to the semi-vehicle suspension model. Firstly,  the body attitude compensation fuzzy controller was designed by using the fuzzy control method. Secondly,  the final semi-active suspension control strategy was determined by combining the two control strategies to suppress the body pitch angle. The experimental results show that the controller  has excellent performance, which can effectively suppress the variation of the body pitch angle during the process of driving and improve the smoothness of the vehicle travel.

Key words: sliding mode controller, semi-vehicle model, semi-active suspension control, fuzzy control, control strategy