Virtual Leader Based Formation Control of Multiple Unmanned Ground Vehicles (UGVs): Control Design, Simulation and Real-Time Experiment

  • Wenchuan CAI*
  • , Liguo WENG
  • , R. ZHANG
  • , M. ZHANG
  • , Y. D. SONG
  • *Corresponding author for this work

Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)Researchpeer-review

5 Citations (Scopus)

Abstract

Closed formation control for multiple unmanned ground vehicles (UGVs) is studied in this chapter. The leading-following strategy with a virtual leader is applied to coordinate the whole formation group so that only local information is sufficient for every UGV to maintain close formation. Error-shaping memory-based control is designed for formation path tracking. The salient feature of this approach lies in its simplicity in design and implementation, and no need for detailed information on external disturbances and uncertainties. The performance of the proposed method is verified via real-time experiment on various formation operations. © 2007 Springer-Verlag Berlin Heidelberg.
Original languageEnglish
Title of host publicationAdvances in Cooperative Control and Optimization: Proceedings of the 7th International Conference on Cooperative Control and Optimization
EditorsPanos M. PARDALOS, Robert MURPHEY, Don GRUNDEL, Michael J. HIRSCH
PublisherSpringer Berlin Heidelberg
Pages221-230
Number of pages10
ISBN (Electronic)9783540743569
ISBN (Print)9783540743545
DOIs
Publication statusPublished - 31 Oct 2007
Externally publishedYes
Event7th International Conference on Cooperative Control and Optimization - Gainesville, United States
Duration: 31 Jan 20072 Feb 2007

Publication series

NameLecture Notes in Control and Information Sciences
PublisherSpringer-Verlag GmbH and Co. KG
ISSN (Print)0170-8643

Conference

Conference7th International Conference on Cooperative Control and Optimization
Country/TerritoryUnited States
CityGainesville
Period31/01/072/02/07

Keywords

  • Formation control
  • Leader-follower strategy
  • Memory-based control
  • Real-time experiment

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