Based On The Hardware In The Loop Of The Vehicle Semi-active Suspension Fuzzy Hybrid Control Strategy Development And Validation

In order to achieve the desired effect, the semi-active suspension adapt to different kinds of load by adjusting the damping or spring stiffness. The key technologies of semi-active suspension are the development of the damper and the selection of the control strategy. The control strategy will affect the performance of semi-active suspension. Traditional control strategy cann’t keep balance between ride comfort and road-friendliness. As a new intelligent control method, fuzzy control does not need to establish an accurate model of the controlled object and can establish control rules in the way of imitating human intelligence, so this control strategy is particularly suitable for the semi-active suspension which road input is random.With the development of computer performance and software technology, the hardware in loop simulation emerges. Because this mode introduces some physical models and can simulates in extreme conditions, it can improve development efficiency, enhance the credibility of simulation results and reduce the costs of control system development.In this study, a half-car model of semi-active suspension systems with4degrees of freedom was established, and then an innovative fuzzy hybrid control strategy considering both ride quality and road-friendliness was developed. For deeply verifying the application of the proposed control strategy in real vehicles, a platform of hardware-in-the-loop for evaluating the proposed control strategy of semi-active suspension systems using a self-designed electronic control unit based on Freescale MC9S12XDP512microcontroller and MATLAB/Real-time Windows Target toolbox, and then a series of Hardware-in-the-Loop Simulation was conducted using the platform. It was shown that the root mean squares of front wheel dynamic tire force, rear wheel dynamic tire force and acceleration of sprung mass obtained in Hardware-in-the-loop simulation mode results were almost equal to those obtained in no Hardware-in-the-loop simulation mode.