基于改进RRT算法的多无人机协同航迹规划方法
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沈阳科技学院

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V279;V249.1

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国家自然科学基金资助项目(61906125)


Multiple UAV cooperative path planning based on the improved RRT algorithm
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    摘要:

    多机协同航迹规划作为无人机系统的核心技术,是提高无人机作战效能的有效手段。本文提出基于改进RRT算法的多无人机协同航迹规划方法。首先引入目标偏置来优化随机采样点的选取方式,引导随机树朝着目标点方向生长。再加入引力势场来优化新节点的生成方式,将目标点的引力方向作为随机树的生长方向,加快算法的收敛速度。综合考虑多机协同的约束条件,建立多机协同的航迹规划目标函数,给出了突发威胁航迹重规划方法。仿真结果表明,改进的RRT算法在满足协同约束的条件下,可以规划出较优的协同航迹。

    Abstract:

    As the core technology of Multiple unmanned aerial vehicle(UAVs), multi-aircraft cooperative track planning is an effective means to improve the combat efficiency of UAVS. A multi-UAV cooperative track planning method based on improved RRT algorithm is proposed in this paper. Firstly, the goal-biased strategy is added to optimize the selection of sampling points, and the gravitational potential field is incorporated to improve the generation of new node xnew, so that the gravitational direction of the target point to the nearest node is used as the growth direction of the random tree to accelerate the convergence speed of the algorithm. The objective function of multi-UAV cooperation is established considering the constraints of multi-UAV cooperation. The method of sudden threat replanting is also given. The simulation results show that the improved RRT algorithm can be planned for optimal cooperative tracks under the condition of satisfying the cooperative constraints.

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于冰,赵宇飞,韩云龙,陈侠.基于改进RRT算法的多无人机协同航迹规划方法计算机测量与控制[J].,2025,33(12):215-223.

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  • 收稿日期:2024-11-06
  • 最后修改日期:2024-12-31
  • 录用日期:2025-01-02
  • 在线发布日期: 2025-12-24
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