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    张晓华

    • 教授     博士生导师   硕士生导师
    • 性别:男
    • 毕业院校:哈尔滨工业大学
    • 学位:博士
    • 所在单位:电气工程学院
    • 学科:电力电子与电力传动
    • 办公地点:大连市高新区凌工路 2 号电气楼 405 室
    • 联系方式:xh_zhang@dlut.edu.cn
    • 电子邮箱:xh_zhang@dlut.edu.cn

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

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    论文类型:期刊论文

    发表时间:2018-11-18

    发表刊物:INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE

    卷号:49

    期号:15

    页面范围:3202-3215

    ISSN号:0020-7721

    关键字:Tractor-trailer vehicle; trajectory tracking; model predictive control (MPC); global terminal sliding mode control (GTSMC); extended state observer (ESO)

    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.