摘要
为提高车辆能源效率及行驶过程中平顺性和操纵稳定性,提出一种融入电磁感应馈能元件的磁力馈能悬架,并对其进行稳定性研究。选用馈能电磁主动悬架性能指标作为目标函数,采用改进粒子群算法优化PID参数控制该悬架。仿真结果表明,以滤波白噪声模拟C级路面作为输入,相比于被动悬架和标准粒子群PID控制的主动悬架,基于改进粒子群PID控制的悬架系统的三个性能评价指标的均方根值和峰值都有所改善。与被动悬架相比,最重要的指标车身垂直加速度的均方根植提升了29.03%,峰值提升了29.6%。经过改进粒子群算法优化的PID控制避免了PID参数确定过程中的问题,使馈能电磁主动悬架的控制效果更佳。
In order to improve vehicle energy efficiency,ride comfort and handling stability during driving,a magnetic energy harvesting suspension incorporating electromagnetic induction energy harvesting element was proposed and its stability was studied.The performance index of energy harvesting electromagnetic active suspension is selected as the objective function,and the improved particle swarm optimization is used to optimize PID parameters to control the suspension.The simulation results show that,taking the filtered white noise to simulate the C-class road surface as the input,compared with the passive suspension and the active suspension controlled by the standard particle swarm PID,the root mean square values and peaks of the three performance evaluation indicators of the suspension system based on the improved particle swarm PID control have all been improved.Compared with the passive suspension,the root-mean-square plant of the body vertical acceleration,the most important indicator,is increased by 29.03%,and the peak value is increased by 29.6%.The PID control optimized by improved particle swarm optimization algorithm avoids the problems in PID parameter determination,and makes the control effect of energy harvesting electromagnetic active suspension better.
作者
许丽
周冉
李小营
韩先鹏
XU Li;ZHOU Ran;LI Xiao-ying;HAN Xian-peng(Department of Information and Control Engineering,Shenyang Institute of Science and Technology,Shenyang 110167,China;School of Mechanical Engineering,Shenyang University of Technology,Shenyang 110870,China;Shenyang tomorrow equipment Technology Co,Ltd,Shenyang 110132,China)
出处
《磁性材料及器件》
2025年第3期86-93,共8页
Journal of Magnetic Materials and Devices
基金
辽宁省科技厅项目(2023-BSBA-263)
辽宁省教育厅项目(LJ212410142015)。
关键词
馈能电磁主动悬架
粒子群算法
PID控制
悬架稳定性
energy harvesting electromagnetic active suspension
particle swarm optimization
PID control
suspension stability
