Study on Semi-Active Suspension System Simulation Based on Magnetorheological Damper

In order to improve vehicle´s running smoothness and driving stability, magnet-rheological damper is put forward as the control object of the semi-active suspension system, adopting adaptive neural network control method. In the foundation of experimental test and theoretical analysis, a model of semi-active suspension is built based on magnetorheological damper and the adaptive neural network control method for the model has been studied. The simulative road spectrum, half-wave function and step function are respectively selected as the inputs of the model, using the vertical acceleration of sprung mass, the anamorphosis level of suspension and dynamic loading of tire as the evaluating indicators. The simulation results by using Matlab language and Simulink toolbox show that the smoothness and the stability of the semi-active suspension have been greatly improved, compared with the passive suspension and there is a certain adaptability to the disturbance of outside.