王维坤, 刘加朋, 王保防, 赵科淇, 于金鹏. 基于数据驱动的无人船轨迹跟踪自适应控制[J]. 中国舰船研究. DOI: 10.19693/j.issn.1673-3185.03503
引用本文: 王维坤, 刘加朋, 王保防, 赵科淇, 于金鹏. 基于数据驱动的无人船轨迹跟踪自适应控制[J]. 中国舰船研究. DOI: 10.19693/j.issn.1673-3185.03503
Data-driven unmanned surface vehicles trajectory tracking adaptive control[J]. Chinese Journal of Ship Research. DOI: 10.19693/j.issn.1673-3185.03503
Citation: Data-driven unmanned surface vehicles trajectory tracking adaptive control[J]. Chinese Journal of Ship Research. DOI: 10.19693/j.issn.1673-3185.03503

基于数据驱动的无人船轨迹跟踪自适应控制

Data-driven unmanned surface vehicles trajectory tracking adaptive control

  • 摘要: 【目的】针对具有参数不确定性的无人船系统,提出了一种基于数据驱动的无人船轨迹跟踪控制策略。【方法】首先,运用反步法设计无人船运动学子系统的虚拟控制信号,确保系统轨迹跟踪的准确性;其次,通过数据驱动的方法设计无人船动力学子系统的控制器,减轻未知扰动等不确定性因素带来的影响,降低控制器设计的复杂程度。【结果】采用递归原理,通过分析系统伪雅可比矩阵、动力学和运动学跟踪误差收敛,证明了系统的稳定性。【结论】仿真结果表明基于本文所提控制策略可以对无人船期望轨迹进行有效跟踪,验证了控制方案的有效性。

     

    Abstract: Objectives A data-driven trajectory tracking control scheme is proposed for Unmanned Surface Vehicles (USV) with uncertain parameters. Methods Firstly, the USV kinematics subsystem is processed by the backstepping, and we can obtain the virtual control signal of the kinematics subsystem which ensure the accuracy of the system trajectory tracking. Secondly, the data-driven is used to deal with the USV dynamics subsystem to get the controller which reduces the impact of uncertainties such as unknown disturbances and reduce the complexity of controller design. Results The stability of the system is proved by analyzing the pseudo jacobian matrix and the convergence of the tracking error of dynamics and kinematics. Conclusions Simulation results show that the control strategy proposed in this paper can track the expected trajectory effectively, and the effectiveness of the control scheme is verified.

     

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