摘要
针对汽车主动悬架PID控制器的参数选择问题,采用粒子群优化方法优化PID控制器的控制参数。以汽车行驶平顺性作为评价指标,建立综合车身垂直加速度、悬架动行程和轮胎动载荷3项指标的目标函数,采用粒子群算法优化控制器参数。在MATLAB软件中进行仿真。结果显示:经过粒子群优化后的PID控制器性能明显优于优化前性能。
In order to solve the problem of optimal parameters selection for PID controller of vehicle active suspension, particle swarm optimization was used to optimize the control parameter of PID controller. Taking the smoothness of vehicle driving as the evalu-ation index, three objective function was established with respect to the body vertical acceleration, the suspension dynamic displace-ment and the tire dynamic loads. The particle swarm optimization was employed to conduct parameter optimization of the controller. MATLAB was used to complete the control simulation. The simulation results showed that the properly of the optimized PID controller by the particle swarm optimization was obviously improved compared to the one without optimization.
出处
《森林工程》
2017年第1期66-69,86,共5页
Forest Engineering
基金
黑龙江省留学归国人员科学基金(LC2015019)
关键词
主动悬架
粒子群算法
PID控制
active suspension
particle swarm optimization
PID controller
作者简介
第一作者简介：赵强,博士,教授.研究方向：载运工具装备设计与功能创新.E-mail：qyangzhao@163.com
