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A Comparison of Linear and Sliding Mode Formation Control for a Multi-quadrotor System

  • Luis F.Canaza Ccari*
  • , Muhammad Rehan*
  • *Corresponding author for this work

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

Abstract

This article presents a comparative study of the performance of two control approaches, linear control and sliding mode control (SMC), for addressing the formation control of a multi-quadrotor system. First, the dynamic system of the quadrotor is modeled using ordinary differential equations (ODEs), describing high nonlinearity and underactuation. Next, the linear control and SMC designs are presented, by considering the closed-loop stability via Lyapunov theory. Finally, both control approaches are tested in Matlab/Simulink for a trajectory tracking formation control task with four follower agents and a virtual leader. The simulation results show that the SMC approach achieves an RMSE of 0.078, while the linear control approach achieves an RMSE of 1.143, highlighting the superiority of the SMC approach in terms of robustness and tracking accuracy.

Original languageEnglish
Title of host publication2026 International Power Electronics Conference, IPEC-Nagasaki 2026 - ECCE Asia
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9784886864475
DOIs
StatePublished - 2026
Event2026 International Power Electronics Conference, IPEC-Nagasaki 2026 - ECCE Asia - Nagasaki, Japan
Duration: 31 May 20264 Jun 2026

Publication series

Name2026 International Power Electronics Conference, IPEC-Nagasaki 2026 - ECCE Asia

Conference

Conference2026 International Power Electronics Conference, IPEC-Nagasaki 2026 - ECCE Asia
Country/TerritoryJapan
CityNagasaki
Period31/05/264/06/26

Bibliographical note

Publisher Copyright:
© 2026 IEEJ-IAS.

Keywords

  • Formation Control
  • Multi-Agent Systems
  • SMC

ASJC Scopus subject areas

  • Control and Optimization
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Safety, Risk, Reliability and Quality

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