多无人机协同搜索区域划分与路径规划

  • 戴健 ,
  • 许菲 ,
  • 陈琪锋
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  • 中南大学 航空航天学院, 长沙 410083

收稿日期: 2019-12-13

  修回日期: 2019-12-25

  网络出版日期: 2020-01-02

基金资助

无人装备体系建模与仿真装备预研基金(61400010303);航天器设计优化与动态模拟技术教育部重点实验室(北京航空航天大学)开放基金(2019KF003)

Multi-UAV cooperative search on region division and path planning

  • DAI Jian ,
  • XU Fei ,
  • CHEN Qifeng
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  • School of Aeronautics and Astronautics, Central South University, Changsha 410083, China

Received date: 2019-12-13

  Revised date: 2019-12-25

  Online published: 2020-01-02

Supported by

Equipment Pre-Research Fund for Modeling and Simulation of Unmanned Equipment System (61400010303); Open Foundation for Key Laboratory of Spacecraft Design Optimization and Dynamic Simulation Technologies (Beihang University), Ministry of Education(2019KF003)

摘要

针对多无人机广域协同搜索问题,研究无人机工作区间划分和全区域覆盖搜索路径规划2个子问题。采用按无人机来向均衡划分的方法和凹点凸分解的方法,开展了凸多边形和非凸多边形的区域划分研究,将多机协同搜索问题转化为子区域上的单机搜索问题;在此基础上采用"Z"型路径覆盖方法以及Dubins转弯路径,对各个无人机开展覆盖其子区域的搜索路径规划,从而建立了一个区域划分和路径规划的整体调用框架,能够对目标区域快速进行划分并生成飞行路线。最后,对凸多边形和非凸多边形区域搜索开展仿真计算,验证了该方法的有效性。

本文引用格式

戴健 , 许菲 , 陈琪锋 . 多无人机协同搜索区域划分与路径规划[J]. 航空学报, 2020 , 41(S1) : 723770 -723770 . DOI: 10.7527/S1000-6893.2019.23770

Abstract

Aiming at the multi-UAV cooperative search, two sub-problems of UAV working region division and full-area coverage search path planning are discussed and analyzed. By adopting the parallel division method and the concave-convex decomposition method, the region division of convex polygons and non-convex polygons is carried out. Thus, the multi-UAV cooperative search problem is transformed into a single-UAV search problem on a sub-region. Based on this, the "Z"-type path coverage method and the Dubins turning path are used to implement the path planning on each small sub-region, establishing an overall invocation framework of regional division and path planning, which can quickly divide the target area and generate flight routes. Finally, the simulations of convex and non-convex polygons verify the validity of the proposed method in this study.

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