Image-Based Prescribed Performance Control for Quadrotor to Track an Unknown Target

Bingjin Liu, Yi Huang*

*Corresponding author for this work

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

Abstract

This article addresses the problem of tracking moving ground target with unknown motion for quadrotor in GPS-denied environments. Firstly, an IBVS controller, which utilizes virtual image features to decouple the translational and rotational motion of quadrotor, is proposed, effectively addressing underactuated issues. Secondly, the research solely relies on visual sensors, which intelligently extract and utilize image information to design the controller, thereby significantly reducing the dependence on external hardware and demonstrating flexible tracking capabilities in complex scenes. In addition, prescribed performance control enables efficient operation even under unknown target motion conditions.

Original languageEnglish
Title of host publicationAdvances in Guidance, Navigation and Control - Proceedings of 2024 International Conference on Guidance, Navigation and Control Volume 9
EditorsLiang Yan, Haibin Duan, Yimin Deng
PublisherSpringer Science and Business Media Deutschland GmbH
Pages533-542
Number of pages10
ISBN (Print)9789819622313
DOIs
Publication statusPublished - 2025
EventInternational Conference on Guidance, Navigation and Control, ICGNC 2024 - Changsha, China
Duration: 9 Aug 202411 Aug 2024

Publication series

NameLecture Notes in Electrical Engineering
Volume1345 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

ConferenceInternational Conference on Guidance, Navigation and Control, ICGNC 2024
Country/TerritoryChina
CityChangsha
Period9/08/2411/08/24

Keywords

  • IBVS
  • prescribed performance control
  • quadrotor
  • tracking

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