Real-time task reallocation for large-scale UAV team in dynamic environment

Fei Yan, Zhuang Shao, Zhou Zhou, Xiaoping Zhu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

To solve the problem of cooperative task reallocation for large-scale unmanned aerial vehicle (UAV) team under complex dynamic environment, a method based on man in-loop consensus auction principle is proposed. Firstly, Delaunay diagram is used for environment modeling. Then, the shortest paths of UAVs to targets are obtained by using Warshall-Floyd algorithm, thus task allocation and path planning are decoupled. Finally, with man in-loop and consensus-based auction approach, the task reallocation under several sudden changes of environment is achieved. Simulation results show that, the proposed method can provide a feasible task reallocation in 1.2s for a large-scale UAV team, which proves the real-time performance of this method.

Original languageEnglish
Title of host publicationCGNCC 2016 - 2016 IEEE Chinese Guidance, Navigation and Control Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages419-426
Number of pages8
ISBN (Electronic)9781467383189
DOIs
StatePublished - 20 Jan 2017
Event7th IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2016 - Nanjing, Jiangsu, China
Duration: 12 Aug 201614 Aug 2016

Publication series

NameCGNCC 2016 - 2016 IEEE Chinese Guidance, Navigation and Control Conference

Conference

Conference7th IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2016
Country/TerritoryChina
CityNanjing, Jiangsu
Period12/08/1614/08/16

Keywords

  • Auction algorithm
  • Cooperative task allocation
  • Large-scale UAV team
  • Man in-loop

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