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A path planning approach based on multi-direction A algorithm for ships navigating within wind farm waters

机译:基于多方向的路径规划方法在风电场水域内航行的船舶算法

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摘要

Trajectory planning for working ships within offshore wind farms is significant for navigation safety and efficiency. Regarding to this, a global multi-direction A* algorithm is introduced. The algorithm is modified from three perspectives: (1) Artificial potential field (APF) is expressed in scalar mode instead of vector mode; (2) The moving distance in each step is adjusted based on the complexity of the around environment; (3) The penalty mode is proposed for the subsea pipelines. The scalar APF model avoids ships crossing between the two obstacles very close to each other, which is very important in dense wind turbine waters. The adjusted stepping mode can extend possible moving directions compared with conventional A* algorithm while making a trade-off between computation complexity and efficiency. The penalty model plays an effective role, so that the planned trajectory is crossing the pipelines only once. Simulation results indicate that the trajectory from 20-direction A* algorithm has similar path length with real cases while enhancing navigation safety to a large degree. Compared with the real-case trajectory, the minimum distance to the wind turbines has increased more than 3 times and the path length outside the wind farm decreased from more than 16000m to less than 11000m.
机译:对于海上风电场内的工作船舶,轨迹规划对于航行安全和效率至关重要。对此,引入了全局多方向A *算法。该算法从三个角度进行了修改:(1)人工势场(APF)以标量模式而不是矢量模式表示; (2)根据周围环境的复杂性调整每一步的移动距离; (3)提出了对海底管道的罚款方式。标量APF模型可避免船舶在两个障碍物之间非常靠近地穿越,这在密集的风力涡轮机水域中非常重要。与传统的A *算法相比,调整后的步进模式可以扩展可能的运动方向,同时在计算复杂度和效率之间做出权衡。惩罚模型发挥了有效的作用,因此计划的轨迹仅穿越管道一次。仿真结果表明,20方向A *算法的轨迹具有与实际情况相似的路径长度,同时在很大程度上提高了导航安全性。与实际情况相比,到风力涡轮机的最小距离增加了3倍以上,风电场外的路径长度从大于16000m减少到小于11000m。

著录项

  • 来源
    《Ocean Engineering》 |2019年第15期|311-322|共12页
  • 作者单位

    Wuhan Univ Technol, Intelligent Transport Syst Res Ctr ITSC, Wuhan, Hubei, Peoples R China|Natl Engn Res Ctr Water Transport Safety WTSC, Wuhan, Hubei, Peoples R China;

    Wuhan Univ Technol, Intelligent Transport Syst Res Ctr ITSC, Wuhan, Hubei, Peoples R China|Natl Engn Res Ctr Water Transport Safety WTSC, Wuhan, Hubei, Peoples R China;

    Wuhan Univ Technol, Intelligent Transport Syst Res Ctr ITSC, Wuhan, Hubei, Peoples R China|Natl Engn Res Ctr Water Transport Safety WTSC, Wuhan, Hubei, Peoples R China;

    Wuhan Univ Technol, Intelligent Transport Syst Res Ctr ITSC, Wuhan, Hubei, Peoples R China|Natl Engn Res Ctr Water Transport Safety WTSC, Wuhan, Hubei, Peoples R China;

    Beibu Gulf Univ, Maritime Coll, Qinzhou, Peoples R China;

    Norwegian Univ Sci & Technol NTNU, Fac Engn, Dept Marine Technol, Trondheim, Norway;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Offshore wind farm; Path planning; Multi-direction A* algorithm; Artificial potential field;

    机译:海上风电场;路径规划;多向A *算法;人工潜在领域;

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