An Investigation Into The Control Strategy Of Vehicle Semi-active Suspension Based On Magnetorheological Damper

As the car gradually becomes an essential means of transport, people put forward a higher requirement on the performance of the vehicle. As an important component of the vehicle which can buffer the road excitation, it is suspension that largely determines vehicle ride performance and operational stability. In recent years, the semi-active suspension has attracted lucrative automobile manufacturers with its simple structure, low cost and low energy consumption. However, there are a lot of uncertainties, time-varying and nonlinear problems on semi-active suspension, therefore the optimal control strategy becomes the focus of research on semi-active suspension system. MR damper is a new intelligent controllable damper, which is widely used in automotive semi-active suspension. Since MR damper has hysteresis properties, it has been difficulty to find a suitable model to describe the magnetorheological damper.In the dissertation, the research in the control strategy of MR damper semi-active suspension is focused on. First, through analyzing 1/4 vehicle dynamics models, the mechanical and the simplified model of the suspension are established in ADAMS, and the simplified model is verified. Second, The forward model of MR damper is established by simulink, and the external characteristic of MR damper is studied. The inverse model of MR damper is established by adaptive neural fuzzy inference system, and it is verified. Finally, a hybrid control strategy is presented, and the three parameter which belongs to the hybrid controller is matched by Particle Swarm Optimization. A co-simulation platform is founded, and random road excitation which is built input into co-simulation platform. It has been showed that compared with Skyhook damper control strategy and Groundhook damper control strategy, the hybrid control strategy decreases the root mean square value of sprung mass acceleration, suspension dynamic travel and tire deformation effectively, which improves the vehicle ride performance and operational stability.