考虑车间铰接力的虚拟轨道列车循迹控制研究
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国家重点研发计划(2018YFB101603-06),四川省科技计划项目(2024NSFSC0439,2020JDRC0008)


Research on Trajectory-Tracking Control of the Virtual Rail Train with Considering Hinge Forces Between the Vehicles
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    摘要:

    围绕一种新型城市道路交通运输系统——虚拟轨道列车,以三车体六轴双铰接车辆为例,针对长大型车辆动力学性能提高的问题,综合考虑车间铰接力、车辆行驶偏差及横向稳定性,提出了一种车辆循迹控制方法.首先,使用模型预测控制(MPC)理论确定车轴A1A4和A6转向角,根据单点预瞄原理确定车轴A2转向角,基于扩展阿克曼转向原理确定车轴A3和A5轴转向角,实现车辆各轴协同转向和循迹运行.其次,结合车间运动约束关系,考虑速度条件和纵向铰接力优化,基于纵向铰接力闭环补偿PID确立各车轮驱动力矩,实现车辆纵向速度跟踪.最后,基于TruckSim/Simulink联合仿真,研究双移线和复合曲线工况下车辆动力学特性,结果表明:该控制方法不仅实现了良好的车辆循迹精度和横向稳定,还能显著减小车间铰接力,有效提高了长大型车辆动力学性能.

    Abstract:

    Aiming at a new type of urban road transportation system, namely the virtual rail train, as an example of a double articulated vehicle system with three bodies and six axles, a trajectory tracking control method is proposed with hinge forces between the vehicles, the operation deviation and the lateral stability of the vehicle system, to improve the dynamics performance of the long vehicle system. Firstly, the steering angles of all axles are determined to achieve the coordinated steering and trajectory tracking of the vehicle, where the axles A1, A4, and A6 steer in the model predictive control (MPC) theory, the axle A2 steers with the single point preview principle, and the axles A3 and A5 steer based on the extended Ackermann steering principle. Secondly, the driving torques of all wheels are determined based on the closed-loop compensation PID of the longitudinal hinge forces between the vehicles, to make the vehicle run at the desired longitudinal speed, considering the constraints of the vehicle motions, the vehicle speed condition and the optimization of hinge forces between the vehicles. Finally, based on the co-simulation of TruckSim and Simulink, the dynamic characteristics of the vehicle are studied with two conditions of double lane changing and compound curve. The results show that the present method not only achieves better tracking accuracy and lateral stability of the vehicle system, but also obviously reduces hinge forces between the vehicles, which effectively improves the dynamics performance of the long vehicle system.

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李道洋,杨蔡进,陆野,周文清,张卫华.考虑车间铰接力的虚拟轨道列车循迹控制研究[J].动力学与控制学报,2025,23(4):69~79; Li Daoyang, Yang Caijin, Lu Ye, Zhou Wenqing, Zhang Weihua. Research on Trajectory-Tracking Control of the Virtual Rail Train with Considering Hinge Forces Between the Vehicles[J]. Journal of Dynamics and Control,2025,23(4):69-79.

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  • 收稿日期:2024-08-29
  • 最后修改日期:2024-11-01
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  • 在线发布日期: 2025-04-30
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