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汽车在行驶过程中不可避免会受到路面激励而产生振动,针对这一问题,以行驶平顺性和操作平衡性为目标,以1/4车主动悬架为研究对象,在B级、C级路面激励条件下,把轮胎动载荷、车身垂直加速度、悬架动行程作为评价指标进行研究;同时,把模糊推理与PID控制相结合,提出一种模糊PID控制策略应用于主动悬架系统中,对PID参数进行实时在线整定,使之适应实际路面环境的不断变化;ADAMS与MATLAB联合仿真结果表明:应用模糊PID控制策略可有效减小典型路面激励条件下汽车的振动幅度和速度,大幅改善乘坐舒适性和操纵稳定性,具有一定应用价值。
In the process of driving, the car will inevitably be vibrated by the road surface. In response to this problem, taking the 1/4 car active suspension as the research object and the B and C level pavement Under the excitation condition, the dynamic load of tire, the vertical acceleration of vehicle body and the moving stroke of suspension are taken as the evaluation indexes. At the same time, the fuzzy inference and PID control are combined to propose a fuzzy PID control strategy which is used in active suspension system. PID parameters real-time online tuning, to adapt to the changing real road environment; ADAMS and MATLAB joint simulation results show that: the application of fuzzy PID control strategy can effectively reduce the typical road surface vibration excitation conditions and speed, significantly improve ride comfort Sexual and manipulation stability, has certain application value.