Research on the Stability Control Strategy of High-Speed Steering Intelligent Vehicle Platooning

Guangbing Xiao, Zhicheng Li, Ning Sun, Yong Zhang
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Abstract

Based on an investigation of how vehicle structural characteristics and system parameters influence the motion stability of high-speed steering intelligent vehicle platooning, a control strategy for ensuring motion stability is proposed. This strategy is based on a virtual articulated concept and is validated using both characteristic equation analysis and time domain analysis methods. To create a system, any two adjacent front and rear vehicles in the intelligent vehicle platooning are connected using a virtual articulated model constructed through the virtual structure method. A ten-degrees-of-freedom model of the intelligent vehicle platooning system is established, taking into account the nonlinearities of the tire and steering systems, utilizing the principles of the second Lagrange equation theory. The system damping ratio is determined through characteristic equation analysis, and the system’s dynamic critical speed is assessed by examining the relationship between the damping ratio and the motion stability of the intelligent vehicle platooning, serving as an indicator of system stability. By applying sensitivity analysis, control variable analysis, and time domain analysis methods, the influence of vehicle structural characteristics and system parameters on the system’s dynamic critical speed and motion stability under lateral disturbances within the intelligent vehicle platooning is thoroughly investigated, thereby validating the soundness of the proposed control strategy.
高速转向智能排车稳定性控制策略研究
基于对车辆结构特征和系统参数如何影响高速转向智能排车运动稳定性的研究,提出了一种确保运动稳定性的控制策略。该策略基于虚拟铰接概念,并使用特征方程分析和时域分析方法进行了验证。为了创建一个系统,智能车辆排成一行中的任何两辆相邻的前后车辆都使用通过虚拟结构方法构建的虚拟铰接模型进行连接。考虑到轮胎和转向系统的非线性,利用第二拉格朗日方程理论的原理,建立了智能车辆排布系统的十自由度模型。通过特征方程分析确定了系统阻尼比,并通过研究阻尼比与智能车辆排线运动稳定性之间的关系评估了系统的动态临界速度,作为系统稳定性的指标。通过应用灵敏度分析、控制变量分析和时域分析方法,深入研究了车辆结构特征和系统参数对系统动态临界速度和智能车辆编队横向扰动下运动稳定性的影响,从而验证了所提控制策略的合理性。
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