基于改进单神经元PID控制的车辆主动悬架动力学仿真

Dynamic Simulation of Vehicle Active Suspension Based on Improved Single-Neuron PID Control

为提高车辆行驶的稳定性和安全性,采用改进单神经元PID控制车辆主动悬架系统.创建2自由度车辆主动悬架模型简图,给出车辆振动的动力学方程式.在传统PID控制器原理上,设计了微分跟踪器结合单神经元PID控制器用于车辆主动悬架系统控制,在复杂路况激励下通过Matlab软件进行仿真,并与传统PID控制仿真结果进行比较.结果表明:在受到复杂路面激励干扰时,采用改进单神经元PID控制器使车辆轮胎垂向位移、悬架垂向行程和垂向加速度的最大值降低,整体波动幅度较小;车辆主动悬架系统采用改进神经元PID控制器,能够抑制复杂路面的干扰,维持车辆行驶的稳定性和安全性.

In order to improve the stability and safety of vehicle driving, an improved single neuron PID controlsystem was used to control the vehicle active suspension system. A vehicle active suspension model diagram oftwodegreeoffreedom is created, and the dynamic equation of vehicle vibration is given. Based on the principleof traditional PID controller, the differential tracker combined with single neuron PID controller is designed tocontrol the vehicle active suspension system, simulated by Matlab software under the excitation of complex roadconditions, and compared with the traditional PID control simulation results. The simulation results show that themaximum vertical displacement, suspension vertical stroke and vertical acceleration of the vehicle tire are reduced and the overall fluctuation amplitude is small by using the improved single neuron PID controller when thevehicle tire is disturbed by complex road excitation. The vehicle active suspension system adopts improved neuronPID controller, which can restrain the interference of complex road surface and maintain the stability and safetyof vehicle running.