【摘要】 根据车辆操纵稳定性及行驶平顺性的评价标准,以车辆系统的簧上质量加速度、车轮动栽荷和悬架动挠度为主要评价指标,针对路面-车辆系统特点,提出一种以解析方法确定模糊控制规则的算法,利用LMS自适应模块调整模糊控制器的修正因子,提高模糊控制算法对路面-车辆系统的适应性．在以路面信号作为激励源的仿真过程中,与自适应控制悬架系统相比较,簧上质量加速度峰值减至1／20．对简化车辆模型,在2DOF系统试验台架上进行了试验验证,对比结果进一步证明自适应模糊控制方法更适合车辆悬架系统的振动控制．更多还原

【Abstract】 The riding comfort and handling safety of vehicle are regarded as control aims. The acceleration of the sprung mass, dynamic load between wheel and road and dynamic deflection between the sprung mass and the unsprung mass are determined as the evaluation target of vehicle suspension performance. For the road-vehicle system, an adjustable fuzzy control algorithm by which fuzzy control rule tables can be obtained with the numerical calculation is advanced. For two degrees of freedom (DOF) vehicle model, the simulation of vehicle performance with road signal is studied. Compared with adaptive active control suspension system, the simulation results show the adjustable fuzzy controller can reduce the acceleration of the sprung mass by a factor of 20. According to the experiment verification of the vehicle model, the algorithm can effectively control the vibration of vehicle system.更多还原