Dynamic Event-Triggered Formation Control for Unmanned Aerial Vehicles

Junyi Xiang, Yuanyuan Zhang, Zhaoke Ning, Zhiqiang Ma, Ganghui Shen

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

Abstract

This paper presents a dynamic event-triggered communication mechanism to mitigate limited communication in multi-UAV systems. This mechanism aims to reduce resource consumption within these systems by enabling UAVs to communicate only when specific triggering conditions are met. Unlike static event-triggered communication mechanisms, our approach incorporates a dynamically adjusted triggering threshold through a carefully designed dynamic rule. As a result, the system performance is enhanced while communication resource utilization in multi-UAV systems is reduced. Building upon this dynamic event-triggered communication mechanism, we propose a distributed formation control strategy. Furthermore, we outline a criteria for designing the relevant control parameters. To validate the proposed approach, numerical simulation is conducted.

Original languageEnglish
Title of host publicationIECON 2023 - 49th Annual Conference of the IEEE Industrial Electronics Society
PublisherIEEE Computer Society
ISBN (Electronic)9798350331820
DOIs
StatePublished - 2023
Event49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023 - Singapore, Singapore
Duration: 16 Oct 202319 Oct 2023

Publication series

NameIECON Proceedings (Industrial Electronics Conference)
ISSN (Print)2162-4704
ISSN (Electronic)2577-1647

Conference

Conference49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023
Country/TerritorySingapore
CitySingapore
Period16/10/2319/10/23

Keywords

  • dynamic event-triggered control
  • multi-UAV system
  • Time-varying formation tracking

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