匹配与非匹配扰动下非线性网联车辆队列有限时间控制OA
Finite-time control of nonlinear connected vehicle platoons under matched and unmatched disturbances
聚焦匹配扰动与非匹配扰动情境下的非线性网联车辆队列控制问题,提出一种确保网联车辆队列在有限时间内保持稳定的方法.考虑车队中所有跟随车辆均能借助网联通信技术获取领航车辆的状态信息,利用扰动观测器对两类不同扰动进行有限时间内的精确估计.基于恒定车间距策略与终端滑模理论,提出一种有限时间滑模控制算法,并通过数值仿真验证所提策略的有效性.结果显示,在两类扰动同时存在的复杂环境下,观测器能在0.5 s内对两类扰动实现快速预测,确保车队系统中的位置误差、速度误差及加速度误差在有限时间内收敛,有效保障车队行驶的稳定性和鲁棒性.与一致性方法和比例-积分-微分(proportional integral derivative,PID)控制方法的对比结果表明,本算法车队整体的位置均方根误差(root mean square error,RMSE)值为0.199 m,速度RMSE值为0.163 m/s,加速度RMSE值为0.296 m/s2,且最大位置跟踪误差绝对值不超过0.9 m,均小于PID控制方法.本算法在不同通信时延、传感器误差、车辆动力学参数、通信丢包率及扰动幅度条件下的控制性能也具有一定鲁棒性.
To address the finite-time control problem of a nonlinear connected vehicle platoon subject to both matched and unmatched disturbances,we propose a control strategy to ensure the finite-time stability of the connected vehicle platoon under complex disturbance conditions.It is assumed that all following vehicles in the platoon can obtain the state information of the lead vehicle through vehicle-to-vehicle communication.A disturbance observer is designed to accurately estimate two types of disturbances within finite time.Subsequently,based on a constant inter-vehicle spacing strategy and terminal sliding mode theory,a finite-time sliding mode control algorithm is proposed.Finally,numerical simulations are conducted to evaluate the effectiveness of the proposed control strategy.The results show that,even in the presence of both types of disturbances,the observer can rapidly estimate two types of disturbances within 0.5 s,and the position,velocity and acceleration tracking errors converge within finite time,thereby effectively ensuring stability and robustness of platoon motion.The comparative studies with existing consensus methods and proportional integral derivative(PID)control methods show that the proposed algorithm achieves an average root mean square error(RMSE)of 0.199 m in position,0.163 m/s in velocity,and 0.296 m/s2 in acceleration,with the maximum absolute value of position tracking error remaining below 0.9 m.These values are consistently smaller than those obtained using PID control.Furthermore,robustness analyses under diverse conditions,including varying communication delays,sensor errors,vehicle dynamics parameters,packet loss rates,and disturbance magnitudes confirm that the proposed method maintains satisfactory performance under these challenging scenarios.
靳双;刘安龙
重庆交通大学信息科学与工程学院,重庆 400074重庆交通大学信息科学与工程学院,重庆 400074
交通工程
交通工程非匹配扰动队列控制器滑模控制稳定性分析扰动观测器网联车辆
traffic engineeringunmatched disturbancesplatoon controllersliding mode controlstability analysisdisturbance observerconnected vehicles
《深圳大学学报(理工版)》 2026 (3)
327-337,11
China Postdoctoral Science Foundation(2022M710546)Scientific and Technological Research Program of Chongqing Municipal Education Commission(KJQN202200741) 中国博士后科学基金资助项目(2022M710546)重庆市教委科学技术研究计划资助项目(KJQN202200741)
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