Adaptive Finite-Time Event-Triggered Formation Control for Quadrotor UAVs with Experimentation

Jianan Wang, Qingbiao Kuang, Dandan Wang*, Chunyan Wang, Jiayuan Shan

*Corresponding author for this work

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

Abstract

Event-triggering formation control is investigated for second-order multi-agent systems (SOMASs) with compound disturbances. A novel adaptive distributed robust event-triggering controller is developed based on the gain adaptive method and terminal sliding mode (TSM) method. Unlike the existing event-based control algorithm for SOMASs, the proposed algorithm can achieve practical finite-time stability, anti-disturbance, and independence from any global information simultaneously. Furthermore, an extended observer-based adaptive finite-time event-triggered controller is designed to improve the formation accuracy. The theoretical results are demonstrated by numerical simulations and experimental verification using three bebop2 quadrotor UAVs.

Original languageEnglish
Title of host publicationAdvances in Guidance, Navigation and Control - Proceedings of 2020 International Conference on Guidance, Navigation and Control, ICGNC 2020
EditorsLiang Yan, Haibin Duan, Xiang Yu
PublisherSpringer Science and Business Media Deutschland GmbH
Pages4983-4993
Number of pages11
ISBN (Print)9789811581540
DOIs
Publication statusPublished - 2022
EventInternational Conference on Guidance, Navigation and Control, ICGNC 2020 - Tianjin, China
Duration: 23 Oct 202025 Oct 2020

Publication series

NameLecture Notes in Electrical Engineering
Volume644 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

ConferenceInternational Conference on Guidance, Navigation and Control, ICGNC 2020
Country/TerritoryChina
CityTianjin
Period23/10/2025/10/20

Keywords

  • Event-triggered distributed control
  • Finite-time control
  • Formation control
  • Quadrotor UAVs
  • Terminal sliding mode

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