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)

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.

Cite this article

DAI Jian , XU Fei , CHEN Qifeng . Multi-UAV cooperative search on region division and path planning[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2020 , 41(S1) : 723770 -723770 . DOI: 10.7527/S1000-6893.2019.23770

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