欠驱动无人船规划控制一体化航路点精准跟踪

Planning-Control Integration Based Waypoints Precise Tracking for An Underactuated Unmanned Surface Vehicle

  • 摘要: 本文针对欠驱动无人艇在复杂海洋环境中的航路点精确跟踪问题,提出了一种 NRRT-FTC 控制框架,实现了规划与制导控制的深度融合。改进的快速扩展随机树(RRT)算法通过去除冗余路径点,结合非均匀有理 B 样条(NURBS)反算拟合技术,生成光滑且控制阶次更低的路径,确保航路点的精确通过。同时,设计了容错控制策略,以应对环境扰动、系统不确定性和执行器故障等不利因素,从而显著提升系统的鲁棒性与可靠性。实验结果表明,该方法在提升路径光滑性和制导控制性能方面效果显著,并验证了容错控制的有效性。

     

    Abstract: This paper addresses the challenge of accurate waypoints tracking for an underactuated unmanned surface vehicle (USV) in complex marine environments by proposing an NRRT-FTC control framework that integrates path planning and guidance control. The improved Rapidly-Exploring Random Tree (RRT) algorithm eliminates redundant waypoints and incorporates Non-Uniform Rational B-Spline (NURBS) reverse fitting to generate smooth paths with reduced control order, ensuring precise waypoints passage. A fault-tolerant control strategy is also designed to handle environmental disturbances, system uncertainties, and actuator faults, significantly enhancing the system's robustness and reliability. Experimental results demonstrate that the proposed method effectively improves path smoothness and guidance control performance while validating the effectiveness of the fault-tolerant control approach.

     

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