An improved multiple UAVs cooperative flight algorithm based on Leader Follower strategy

Tao Chen, Qi Gao, Mingyu Guo

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

10 Citations (Scopus)

Abstract

With the development of micro unmanned aerial vehicles (UAVs), the UAVs have broad prospects and social needs in many fields such as disaster rescue, fire alarm, road reconnaissance, logistics transportation and so on. Compared to the single drone, multiple UAVs cooperation can enhance the efficiency and the capacity on load handling. In this paper, an improved multiple UAVs cooperative flight algorithm is proposed based on Leader Follower strategy. The Ultra Wide Band (UWB) ranging modules are applied to multiple UAVs cooperative flight, the relative distance between the UAVs provided by the UWB modules and the segmented waypoints GPS information are combined to achieve a cooperative flight. The cooperative algorithm consists of two main parts: the relative distance control is based on ESO (extended state observer), which can effectively guarantee the movement consistency and avoid the collision during flight; the transverse correction algorithm can ensure the following UAV track the leader tightly by segmented waypoints GPS information. Compared to the original Leader Follower strategy, this algorithm does not need complex communication protocols and higher real-time information processing ability. Meanwhile, it can achieve cooperative flight even when there exists a larger disturbance.

Original languageEnglish
Title of host publicationProceedings of the 30th Chinese Control and Decision Conference, CCDC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages165-169
Number of pages5
ISBN (Electronic)9781538612439
DOIs
Publication statusPublished - 6 Jul 2018
Event30th Chinese Control and Decision Conference, CCDC 2018 - Shenyang, China
Duration: 9 Jun 201811 Jun 2018

Publication series

NameProceedings of the 30th Chinese Control and Decision Conference, CCDC 2018

Conference

Conference30th Chinese Control and Decision Conference, CCDC 2018
Country/TerritoryChina
CityShenyang
Period9/06/1811/06/18

Keywords

  • ESO
  • UAV
  • UWB
  • cooperative control

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