Research On The Semi-active Suspension Based On Magnetorheological Damper

The research objects of this thesis are semi-active damper and semi-active suspension of vehicle suspension system. The structure design of magnetorheological damper, parametric modeling and the control strategies of semi-active suspension system are studied. Main tasks are as follows:(1) A genetic algorithm-based multi-objective optimization of magnetorheological damper design method was presented. The magnetorheological damper could be quickly designed to meet the performance requirements by using the method. The requirements of dynamic performance, response speed and power consumption had been taken into account. A damper prototype was designed and manufactured by using the method. Then, the damper was tested on the bench to vertify the effectiveness of the optimization design method.(2) A modified Backlash hysteresis model was presented. The model was simple in structure. The parameter meaning was clear. The model was able to describe and predict the dynamic characteristics of magnetorheological damper accurately in different currents and frequencies.(3) The semi-active suspension system control strategies based on the magnetorheological damper was studied. The feedback linearization control, neural network inverse model control and sigmoid inverse model control of the magnetorheological damper had been studied contrastively. A continuous negative stiffness semi-active control strategy had been presented, which can avoid the "chatter" phenomenon effectively in the switching of the negative stiffness control. On the basis, three system-level control strategied which called the feedback linearization- continuous negative stiffness, neural networks-continuous negative stiffness and sigmoid inverse model- continuous negative stiffness were presented. The performances of these strategies were studied contrastively.