The research of automobile suspension system performance based on the fuzzy neural network control

The dynamic performance of suspension systems directly influenced ride comfort and handling stability of driving vehicles. Automobile suspension was assumed as the research object. Dynamics performance index of suspension was analyzed, and dynamic model and state space model of 1/2 body with 6 degree-of-freedom were established. According to the control principle, considering the influence of the input disturbance, a fuzzy controller and self-adaptive neural fuzzy controller were established. Based on the suspension mathematical model and fuzzy neural network controller, the model was simulated by MATLAB/SIMULINK software, and the performance of active suspension was compared to the passive suspension. The result showed that vibration of active suspension could reduce the bodywork acceleration effectively using the fuzzy neural network control algorithm. Its performance was improved, and the requirement of stability and comfort was satisfied.