基于人工蜂群算法的车辆主动悬架LQG控制设计

摘要

针对2自由度1/4车体汽车悬架LQG最优控制模型，综合局部精英策略局部搜索能力强和人工蜂群算法全局搜索效率高的优点，提出基于局部精英策略人工蜂群算法确定其加权系数的优化方法。利用Matlab/Simulink仿真软件，以积分白噪声模型作为地面输入和单位阶跃输入为路面输入模型，分别将传统LQG控制、人工蜂群算法LQG控制和局部精英策略人工蜂群算法LQG控制进行仿真和对比分析，结果表明，局部精英策略人工蜂群算法LQG控制方法可改善汽车的行驶平顺性和操纵稳定性。%Based on LQG optimal control model of a 2-DOF quarter automobile suspension, an optimization method for determining the weighting factors combining local elitist strategy (LES) with artificial bee colony algorithm (ABC) is proposed. The LES has a strong local seeking ability while the ABC algorithm has a great global seeking ability. Simulation and comparative analysis on traditional LQG control, ABC LQG control and LES-ABC LQG control of the semi-active suspensions are conducted by means of Matlab/Simulink code. The models of integral white noise and unit step input are employed as the road input. Simulation results indicate that the LQG control method of LES-ABC algorithm can improve riding comfort and handle the performance of automobiles.