Fuzzy Controller for Semi-Active Automobile Suspension System under Random Profiled Road Input

Abstract

The suspension system is one of the most important parts of the automobile. The suspension system has an important influence on the ride comfort and maneuverable stability of the automobile. As structure parameters of traditional passive suspension cannot adaptively change with external conditions, the improvement of dynamic performance is difficult. Tow-DOF and four-DOF suspension of vehicle model is set up in this paper. Under random profiled road input simulated by using Runge-Kutta method, the control laws of fuzzy controller are adjusted by using different weight coefficients and use Matlab software to simulate the performances. Then, the results are compared and the performances are analyzed between passive suspension and semi-active suspension. The simulation results show the semi-active suspension is more effective for decreasing the vibration of vehicle body than the passive suspension, and designed fuzzy controller is effective for controlling the active controller of the semi-active suspension.