Fuzzy Sliding Mode Control of Vehicle Magnetorheological Semi-Active Air Suspension

In order to reduce vehicle vibration during driving conditions, a fuzzy sliding mode control strategy (FSMC) for semi-active air suspension based on the magnetorheological (MR) damper is proposed. The MR used in system was tested and analyzed. Based experimental data, genetic algorithm identify parameters of improved hyperbolic tangent model, which derived damper. At same time, an adaptive neuro inference (ANFIS) build reverse model quarter equipped with established. Aiming at uncertainty system, adjust boundary layer control, can effectively suppress influence chattering accuracy ensure stability. Taking random road excitation impact as input signal, simulation analysis passive suspension, SMC FSMC carried out, respectively. results show that has better attenuating performance ride comfort.