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模糊控制和常规控制算法相比具有建模简单,控制精度高、非线性适应性强等优点,在车辆智能悬架系统得到了较广的应用。文章以簧载质量垂向速度、簧载质量俯仰角速度及其变化率作为模糊控制器输入,使用双模糊控制器实现车辆半主动悬架的控制,达到改善车辆垂直和俯仰振动的综合减振目的。同时,以某型车辆半车悬架模型为对象进行了仿真分析。仿真结果表明:采用所提出的模糊控制策略不仅能较好地改善车辆乘坐舒适性,还能显著降低悬架击穿可能。
Compared with the conventional control algorithm, the fuzzy control has the advantages of simple modeling, high control precision and strong nonlinear adaptability. It has been widely applied in the vehicle intelligent suspension system. The article takes the sprung mass vertical velocity, the sprung mass pitch angular velocity and its rate of change as the input of the fuzzy controller, and uses the double fuzzy controller to control the semi-active suspension of the vehicle to achieve the purpose of comprehensive damping to improve the vertical and pitching vibration of the vehicle . At the same time, a half-car suspension model of a certain type of vehicle was simulated. The simulation results show that the proposed fuzzy control strategy can not only improve the riding comfort but also significantly reduce the possibility of suspension breakdown.