Abstract: The correct choice of the fuzzy rules is the key and difficult in fuzzy controller design, this paper applies an genetic algorithm that can adaptively select crossover probability and mutation probability. RMS value of the body vertical acceleration are optimization goals, the car semi-active suspension fuzzy control rules are optimized, to improve the semi-active suspension control effect of the fuzzy controller, to achieve the purpose of improving vehicle ride comfort. To demonstrate the feasibility of this optimization, applying an optimized fuzzy control method based on improved genetic algorithm, a vehicle semi-active suspension is controlled and an associated simulation model is established using Matlab code and Simulink diagram. Simulation results show that optimized semi-active suspension body vertical acceleration RMS values are significantly reduced, the car ride comfort is improved.

Key words: fuzzy controller； body vertical acceleration RMS； semi-active suspension, control rules optimize