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An ESO-based integrated trajectory tracking control for tractor-trailer vehicles with various constraints and physical limitations

机译:基于ESO的牵引车的综合轨迹跟踪控制,具有各种约束和物理限制

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摘要

This paper develops an effective integrated control strategy for the trajectory tracking control of a tractor-trailer vehicle which suffers from inaccessible system states and uncertain disturbance for practical implementation. In addition, diverse problems, such as nonholonomic constraints, underactuated dynamics, physical limitations, etc, can be resolved favourably all together. Aiming to the vehicle trajectory tracking, a constrained model predictive control (MPC) is introduced as a trajectory tracking module, by which the underactuated dynamics, various constraints and physical limitations, can be tackled at the same time. For the desired velocity tracking, a robust global terminal sliding mode control (GTSMC) is employed to guarantee the finite-time convergence of the velocity tracking process, which will improve the transient performance to a great extent. Particularly, in the absence of velocity information, an extended state observer (ESO) is developed to estimate the vehicle velocity in addition to simultaneously obtaining the uncertain disturbance information, which offers prerequisite for the previous control approaches. The simulation results confirm that the presented control strategy can synthesise varied control techniques effectively and deal with diverse problems for the trajectory tracking of tractor-trailer vehicles successfully.
机译:本文针对系统状态无法访问,干扰不确定的牵引挂车,提出了一种有效的轨迹跟踪控制综合控制策略。此外,可以很好地解决各种问题,例如非完整约束,欠驱动动力学,物理限制等。针对车辆的轨迹跟踪,引入了约束模型预测控制(MPC)作为轨迹跟踪模块,通过该模型可以同时解决欠驱动动力学,各种约束和物理限制。对于期望的速度跟踪,采用鲁棒的全局终端滑模控制(GTSMC)来保证速度跟踪过程的有限时间收敛性,这将在很大程度上改善瞬态性能。特别地,在没有速度信息的情况下,除了同时获得不确定干扰信息之外,还开发了扩展状态观察器(ESO)来估计车辆速度,这为先前的控制方法提供了前提。仿真结果表明,所提出的控制策略能够有效地综合各种控制技术,成功地解决了牵引车的轨迹跟踪问题。

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