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Coupling-Degree-Based Heuristic Prioritized Planning Method for UAV Swarm Path Generation

机译:无人机群路径生成的基于耦合度的启发式优先规划方法

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This paper presents the coupling-degree-based heuristic prioritized planning method (CDH-PP) to improve the efficiency and robustness of swarm path planning. The proposed method decouples the swarm path generation problem into a series of single-UAV path planning problems. And the couplingdegree-based priority heuristic generation criterion is tailored to determine the planning order of UAV swarms. The swarm coupling degree matrix is established to determine the coupling relations among UAV swarms based on the collision-detection algorithm. Anytime repairing sparse A*algorithm (AR-SAS) is adopted to plan path for single-UAV considering obstacles and inter-UAV collisions. Simulation results show the proposed CDH-PP method can generate collision-free paths for UAV swarms. And the comparative studies with the random prioritized planning and distance-based heuristic prioritized planning method demonstrate higher computational efficiency and robustness of CDH-PP.
机译:本文提出了基于耦合度的启发式优先规划方法(CDH-PP),以提高群体路径规划的效率和鲁棒性。所提出的方法将群路径生成问题解耦为一系列单UAV路径规划问题。并基于耦合度的优先启发式生成准则进行了裁定,以确定无人机群的计划顺序。建立基于碰撞检测算法的群耦合度矩阵,确定无人机群之间的耦合关系。随时采用稀疏A *算法(AR-SAS)来考虑障碍物和UAV之间的碰撞来计划单个UAV的路径。仿真结果表明,所提出的CDH-PP方法可以为无人机群生成无碰撞路径。随机优先规划和基于距离的启发式优先规划方法的比较研究表明,CDH-PP具有更高的计算效率和鲁棒性。

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