【摘要】 为了抑制由路面不平引起的车辆振动,该文采用磁流变(MR)阻尼器和神经模糊控制算法实现对车辆悬架系统的半主动控制,并在四分之一汽车的两自由度模型上进行了仿真计算。采用的神经模糊控制器能通过反馈的车身加速度,经过计算输出一个恰当的电压到MR阻尼器实时连续地改变其阻尼特性,实现对车辆悬架系统半主动振动控制。仿真结果表明:和被动悬架相比,基于MR阻尼器和神经模糊控制算法的半主动悬架系统对由路面不平引起的车辆振动有明显的控制效果,具有良好的应用前景。更多还原

【Abstract】 Based on the neuro-fuzzy control algorithm,a semi-active control of vehicle suspension system with magneto-rheological(MR)-damper is simulated for a 2-DOFs quarter car model in order to surpress the vibration of vehicle induced by uneven pavement.A neuro-fuzzy controller is applied,which is fed with the acceleration of the car and gives out varying command voltage to modulate continuously the damping characteristic in real time,so as to control the vibration of semi-ative vehicle suspension system.Simulation results show that,compared with the passive suspension system,the semi-active vehicle suspension system with MR damper and neuro-fuzzy controller can suppress vehicle vibration significantly.The system has good prospect in application.更多还原