基于LQR控制的现代客车自适应空气悬架

长期在不良工况的道路上驾驶会降低驾驶员的乘坐舒适性。随着人们对乘坐舒适性需求不断提升,空气弹簧的优势尤为明显。文章提出了一种基于LQR控制策略的自适应空气悬架系统的创新设计方案,提出的LQR控制器采用粒子群算法进行优化。以客车空气悬架为研究对象,采用MATLAB软件对空气悬架系统的被动和自适应动力学模型进行了设计和仿真。仿真结果表明,自适应空气悬架系统在保证车辆稳定性的同时,降低了车辆在随机道路上的最大位移幅值,从而提高了车辆的平顺性。

Modern passenger car adaptive air suspension based on LQR control

Driving on the road under bad working conditions for a long time will reduce the driver's riding comfort.With the increasing demand for ride comfort,the advantage of air spring is especially obvious.This paper presents an innovative design scheme of adaptive air suspension system based on LQR control strategy.The proposed LQR controller is optimized by particle swarm optimization.The passive and adaptive dynamic models of the air suspension system of passenger cars were designed and simulated by MATLAB software.The simulation results show that the adaptive air suspension system can not only ensure the stability of the vehicle,but also reduce the maximum displacement amplitude of the vehicle on the random road,thus improving the ride comfort of the vehicle.