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Adaptive Control for a Heterogeneous Formation of a Multi-robot System

  • Roberto Mejia
  • , Gabriela M. Andaluz
  • , Oscar Camacho
  • , Luis Morales
  • , Silvana Gamboa
  • Escuela Politecnica Nacional
  • Universidad Internacional del Ecuador

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

1 Scopus citations

Abstract

In the present work, the proposal of an adaptive control applied to a multi-robot system's heterogeneous formation is developed, composed of two land mobile robots and a quadcopter. The modeling of land mobile robots and quadcopter is obtained. Once the different models of each robotic scheme have been analyzed, the mathematical representation of the heterogeneous formation of the multi-robot systems is carried out. Through simulation, the system is presented, and the designed controller algorithms are applied. The implemented algorithm is based on the control of a cascade-type scheme: i) a leader-follower method is used as a strategy to achieve the desired formation structure, and ii) an adaptive control law is designed. Besides, simulation studies show the good behavior of the proposed control law. The adaptive controller proposal presented in this work significantly improved the behavior of the heterogeneous formation of the multi-robot system, reducing errors and making the system more robust. Finally, the Lyapunov theory is used to verify the stability of the proposed controllers.

Original languageEnglish
Title of host publication6th IEEE Ecuador Technical Chapters Meeting, ETCM 2022
EditorsDavid Rivas Lalaleo, Monica Karel Huerta
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665487443
DOIs
StatePublished - 2022
Event6th IEEE Ecuador Technical Chapters Meeting, ETCM 2022 - Quito, Ecuador
Duration: 11 Oct 202214 Oct 2022

Publication series

Name6th IEEE Ecuador Technical Chapters Meeting, ETCM 2022

Conference

Conference6th IEEE Ecuador Technical Chapters Meeting, ETCM 2022
Country/TerritoryEcuador
CityQuito
Period11/10/2214/10/22

Keywords

  • UAV
  • adaptive control
  • dynamic model
  • heterogeneous formation
  • mobile robot
  • quadcopter

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