摘要
针对车辆在侧向加速度与路面不平干扰时,容易发生侧翻和影响乘坐舒适性的问题,本文中设计了一种主动横向稳定杆装置。为满足车辆在各行驶工况下的性能要求,提出了采用混杂控制方法对不同工况下的车辆进行控制。在紧急转向或不平路面工况时,为防止车辆侧翻和提高车辆的乘坐舒适性,分别利用线性二次型最优控制理论设计了控制器,并采用微粒群优化算法对控制器的权系数进行优化。在此基础上建立了整车控制模型,并通过台架试验验证所建模型的正确性。最后对采用主动横向稳定装置控制的车辆进行了一系列时域和频域仿真,结果表明,该方法能根据车辆不同的行驶工况有效避免车辆侧翻,且明显改善了车辆的乘坐舒适性。
In view of that when running with a lateral acceleration or passing over a bump with its left or right wheel,the vehicle is prone to rollover or at least with its ride comfort affected,an active anti-roll bar (AARB) is designed,and to meet the performance requirements of vehicle in various driving conditions, a hybrid control scheme is proposed. Then for preventing rollover and enhancing ride comfort of vehicle, specific controller is de-signed for emergent turn or bump passing respectively by applying linear quadratic optimal control theory, with weig-hing parameters of controller optimized using particle swarm optimization algorithm. On this basis,a vehicle control model is established and verified to be correct by bench test. Finally,a series of time-domain and frequency-domain stimulations are carried out on the vehicle equipped with AARB,and the results show that the scheme proposed can effectively prevent the rollover and significantly improve the ride comfort of vehicle according to different driving conditions.
出处
《汽车工程》
EI
CSCD
北大核心
2017年第6期667-674,共8页
Automotive Engineering
基金
国家自然科学基金(51575001)
江苏省普通高校研究生科研创新计划项目(CXLX12_0629)资助
关键词
主动横向稳定杆
混杂控制
侧翻
乘坐舒适性
线性二次型最优控制
粒子群优化
active anti-roll bar
hybrid control
rollover
ride comfort
linear quadratic optimal con-trol
particle swarm optimization