A Safe Flight Method for Swarm Formation Based on Virtual Center in Complex Environments

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

Abstract

Using multi-drones formation to transport heavy objects with ropes has become a common method, addressing the limited load-carrying capacity of a single drone. To avoid rope entanglement during transportation, the formation configuration needs to be maintained. However, existing formation control strategies emphasize formation stability while neglecting obstacle avoidance capabilities. To address this issue, this paper proposes a safe flight method for drone swarms in complex environments based on a virtual center. The virtual center of the formation is calculated based on the positions of each drone within the swarm. Following this calculation, a safe and feasible trajectory for the virtual center is computed using an optimization approach. Subsequently, a consensus control strategy is proposed considering the positional offsets between drones and the virtual center to ensure formation stability during flight. Additionally, we propose an affine formation transformation centered around the virtual center. This transformation enhances swarm navigation safety in obstacle-dense environments and mitigates the risk of rope entanglement. Finally, simulation experiments validate the feasibility of the proposed method, demonstrating that the swarm formation can fly safely and stably in complex environments.

Original languageEnglish
Title of host publicationProceedings of 2024 IEEE International Conference on Unmanned Systems, ICUS 2024
EditorsRong Song
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages707-712
Number of pages6
ISBN (Electronic)9798350384185
DOIs
StatePublished - 2024
Event2024 IEEE International Conference on Unmanned Systems, ICUS 2024 - Nanjing, China
Duration: 18 Oct 202420 Oct 2024

Publication series

NameProceedings of 2024 IEEE International Conference on Unmanned Systems, ICUS 2024

Conference

Conference2024 IEEE International Conference on Unmanned Systems, ICUS 2024
Country/TerritoryChina
CityNanjing
Period18/10/2420/10/24

Keywords

  • affine transform
  • swarm formation
  • trajectory optimization
  • virtual structure

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