Multi-aircraft Path Planning Method based on Cooperative Search A-star Algorithm

Heng Su, Hongquan Yun, Jingwen He, Feng Zhang, Yue Wang

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

7 Citations (Scopus)

Abstract

Compared with the single aircraft system, multiaircraft cooperative system has the advantage in multiple complex tasks. This paper mainly focuses on the modeling of the constraints and studies the search algorithm in the cooperative path planning problem. Firstly, based on the constraint of time, space and navigation, the cooperative strategy, cooperative constraint and the cooperative cost are modeled respectively. Then the cooperative search A-star algorithm which solves the path planning problem including condition of multi-aircraft simultaneous arrival and multi-angle arrival is proposed. Finally, the simulation of cooperative path planning is carried out, and the results show that the algorithm can be used to solve the multi-aircraft path planning problem with complex spacetime constraints.

Original languageEnglish
Title of host publicationProceedings of the 2019 IEEE International Conference on Unmanned Systems, ICUS 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages267-272
Number of pages6
ISBN (Electronic)9781728137926
DOIs
Publication statusPublished - Oct 2019
Event2019 IEEE International Conference on Unmanned Systems, ICUS 2019 - Beijing, China
Duration: 17 Oct 201919 Oct 2019

Publication series

NameProceedings of the 2019 IEEE International Conference on Unmanned Systems, ICUS 2019

Conference

Conference2019 IEEE International Conference on Unmanned Systems, ICUS 2019
Country/TerritoryChina
CityBeijing
Period17/10/1919/10/19

Keywords

  • constraint modeling
  • cooperative search A-star algorithm
  • path planning

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