Vehicle Stability Analysis under Extreme Operating Conditions Based on LQR Control

卡西姆 加速度 控制理论(社会学) 控制器(灌溉) 车辆动力学 主动悬架 工程类 线性二次调节器 悬挂(拓扑) 电子稳定控制 电压降 汽车工程 模拟 计算机科学 数学 控制(管理) 执行机构 物理 同伦 农学 纯数学 电压 人工智能 电气工程 生物 经典力学 分压器
作者
Liping Wu,Ran Zhou,Junshan Bao,Guang Yang,Feng Sun,Fangchao Xu,Junjie Jin,Qi Zhang,Weikang Jiang,Xiaoyou Zhang
出处
期刊:Sensors [Multidisciplinary Digital Publishing Institute]
卷期号:22 (24): 9791-9791 被引量:22
标识
DOI:10.3390/s22249791
摘要

Under extreme working conditions such as high-speed driving on roads with a large road surface unevenness coefficient, turning on a road with a low road surface adhesion coefficient, and emergency acceleration and braking, a vehicle's stability deteriorates sharply and reduces ride comfort. There is extensive existing research on vehicle active suspension control, trajectory tracking, and control methods. However, most of these studies focus on conventional operating conditions, while vehicle stability analysis under extreme operating conditions is much less studied. In order to improve the stability of the whole vehicle under extreme operating conditions, this paper investigates the stability of a vehicle under extreme operating conditions based on linear quadratic regulator (LQR) control. First, a seven degrees of freedom (7-DOF) dynamics model of the whole vehicle is established based on the use of electromagnetic active suspension, and then an LQR controller of the electromagnetic active suspension is designed. A joint simulation platform incorporating MATLAB and CarSim was built, and the CarSim model is verified by real vehicle tests. Finally, the stability of the vehicle under four different ultimate operating conditions was analyzed. The simulation results show that the root mean square (RMS) values of body droop acceleration and pitch angle acceleration are improved by 57.48% and 28.81%, respectively, under high-speed driving conditions on Class C roads. Under the double-shift condition with a low adhesion coefficient, the RMS values of body droop acceleration, pitch acceleration, and roll angle acceleration are improved by 58.25%, 55.41%, and 31.39%, respectively. These results indicate that electromagnetic active suspension can significantly improve vehicle stability and reduce driving risk under extreme working conditions when combined with an LQR controller.
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