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Safe multi-cluster UAV continuum deformation coordination

机译:安全多集群UAV连续体变形协调

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摘要

This paper proposes a paradigm for coordination of multiple unmanned aerial vehicle (UAV) clusters in a shared motion space. UAVs are arranged in a finite number of teams each bounded by a leading triangle. Collective motion of each UAV cluster is managed by a continuum deformation defined by three leaders at the vertices of a leading triangle and followers contained within this triangle. Each triangular cluster can deform substantially to support maneuverability in constrained spaces. This paper specifies necessary conditions to guarantee obstacle avoidance as well as collision avoidance within and across all clusters operating in a shared motion space. Given initial and target configurations, an existing planner (A*) identifies the shortest coordinated leader UAV paths from initial to final configuration in a manner that satisfies safety constraints. An illustrative simulation case study is presented. Continuum deformation containment offers scalability in collision-free UAV motion planning not previously realized in the detect- and-avoid literature. The proposed multi-cluster coordination protocol also extends previous cooperative control to address detect-and-avoid (DAA) given multiple cooperative teams with different destinations. (C) 2019 Elsevier Masson SAS. All rights reserved.
机译:本文提出了一种用于在共享运动空间中协调多个无人机(UAV)群的范式。无人机布置在一个有限数量的团队中,每个团队都被一个领先的三角形界定。每个UAV群集的集体运动由由三角形和追随者的顶点的三个领导者定义的连续变形来管理,该三角形中包含在该三角形内的粉丝。每个三角形簇都可以基本上变形以支持约束空间中的机动性。本文规定了保证障碍物避免以及在共享运动空间中运行的所有集群内部和跨越避免的必要条件。给定初始和目标配置,现有计划者(a *)以满足安全约束的方式从初始到最终配置中的最短协调领导路径。提出了一种说明性模拟案例研究。连续统一变形遏制在无碰撞的UAV运动规划中提供可扩展性,以前未在检测和避免文献中实现。所提出的多集群协调协议还扩展了以前的合作控制来解决检测和避免(DAA)给定多个具有不同目的地的合作团队。 (c)2019年Elsevier Masson SAS。版权所有。

著录项

  • 来源
    《Aerospace science and technology》 |2019年第8期|640-655|共16页
  • 作者单位

    Univ Michigan Dept Aerosp Engn Ann Arbor MI 48109 USA;

    Univ Michigan Dept Aerosp Engn Ann Arbor MI 48109 USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-18 21:47:12

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