Cooperative control for UAV formation flight based on decentralized consensus algorithm

Yaohong Qu, Xu Zhu, Youmin M. Zhang

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

10 Scopus citations

Abstract

Decentralized consensus algorithm is suggested to maintain a specified formation configuration of multiple Unmanned Aerial Vehicles (UAVs). As no explicit leader exists in the team, only the local neighbor-to-neighbor information between vehicles is needed for the proposed control strategy. Position of the virtual leader and attitude of each UAV is the convergence state variable chosen for the algorithm. Communication limits and measurement errors are also considered to improve robustness. Besides, the motion synchronization technology is incorporated to achieve coordinated control of the UAVs, such that coupled relative position errors are used to calculate the trajectory modification. Finally, conclusion is conducted based on the testing results with simulation examples.

Original languageEnglish
Title of host publicationIntelligent Robotics and Applications - 5th International Conference, ICIRA 2012, Proceedings
Pages357-366
Number of pages10
EditionPART 1
DOIs
StatePublished - 2012
Event5th International Conference on Intelligent Robotics and Applications, ICIRA 2012 - Montreal, QC, Canada
Duration: 3 Oct 20125 Oct 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume7506 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference5th International Conference on Intelligent Robotics and Applications, ICIRA 2012
Country/TerritoryCanada
CityMontreal, QC
Period3/10/125/10/12

Keywords

  • Decentralized consensus
  • Formation control
  • Synchronization technology
  • Unmanned Aerial Vehicle (UAV)

Fingerprint

Dive into the research topics of 'Cooperative control for UAV formation flight based on decentralized consensus algorithm'. Together they form a unique fingerprint.

Cite this