Active Suspension Control of a Vehicle System Using Intelligent Fuzzy Technique

In this paper, four degrees of freedom half body vehicle suspension system is shown and the road roughness intensity is modeled as a filtered white noise stochastic process. PID and Fuzzy logic techniques are used to control the suspension system. The desired objective is proposed as minimization of sprung mass acceleration, pitching acceleration, suspension travel and dynamic loads. The simulation results show that active suspension Fuzzy control with the body vertical acceleration and suspension dynamic deflection as comprehensive feedback parameters compared with PID control suspension can improve the ride comfort and driving stability in random excitation.

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