基于PSO与模糊控制的车辆半主动悬挂系统研究

Research on Semi-active Suspension System of Vehicles Based on PSO and Fuzzy Control

为了提高车辆半主动悬挂系统模糊控制策略的准确性,研究了基于粒子群优化(PSO)与模糊控制的高速车辆半主动悬挂系统的优化算法。建立1/4半主动悬挂系统车辆动力学模型,设计了普通模糊控制策略,以此为基础,确定以模糊控制器的量化因子Ka、Kv及比例因子Ki为优化对象的PSO-Fuzzy控制策略,并将车身垂直加速度均方根值作为优化目标函数,利用MATLAB/Simulink仿真得到粒子群优化算法最优控制参数。仿真数据表明:相比普通Fuzzy控制策略,基于PSO-Fuzzy优化控制下的车辆半主动悬挂系统能有效减弱车辆的垂直振动,控制效果明显改善。

In order to improve the accuracy of the fuzzy control strategy of the semi-active suspension system of the vehicle,the optimization algorithm of the semi-active suspension system of high-speed vehicles based on particle swarm optimization(PSO)and fuzzy control is studied.Based on the vehicle dynamics model of 1/4 semi-active suspension system,an ordinary fuzzy control strategy is designed,and on this basis,the PSO-Fuzzy control strategy with the quantitative factors Ka,Kv and scale factor Ki of the fuzzy controller as the optimization objects is determined,and the vertical acceleration rms value of the body is taken as the optimization objective function,and the optimal control parameters of the particle swarm optimization algorithm are obtained by MATLAB/Simulink simulation.Simulation data show that compared with the ordinary Fuzzy control strategy,the semi-active suspension system of the vehicle based on PSO-Fuzzy optimization control can effectively reduce the vertical vibration of the vehicle and the control effect is significantly improved.