Multivariable L1 Adaptive Depth and Attitude Control of MEROS Underwater Robot With Real-Time Experiments

L. Chikh, A. Chemori, S. Wang

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

2 Citations (Scopus)

Abstract

This paper deals with L1 adaptive control of a novel omnidirectional underwater vehicle called MEROS. To the best of our knowledge, this is the first study of depth and attitude (i.e. φ, θ, and ψ) tracking control on an underwater vehicle. We experimentally prove the effectiveness of the proposed control approach by commanding in closed-loop simultaneously the four aforementioned degrees of freedom (DoFs). The dynamic model of MEROS is highly nonlinear with coupling effects between the different DoFs making its stabilization and tracking control more challenging than conventional ROVs (remotely operated vehicles). Therefore, the use of a robust controller becomes essential, and the proposed scheme allows to ensure robustness whilst fast adaptation is achieved. Real-time experiments are performed to show the effectiveness of the proposed control design.

Original languageEnglish
Title of host publicationIFAC-PapersOnLine
EditorsLiz Rincon-Ardilla
PublisherElsevier B.V.
Pages67-72
Number of pages6
Edition38
ISBN (Electronic)9781713867890
DOIs
Publication statusPublished - 1 Oct 2022
Event13th IFAC Symposium on Robot Control, SYROCO 2022 - Virtual, Online, United States
Duration: 17 Oct 202220 Oct 2022

Publication series

NameIFAC-PapersOnLine
Number38
Volume55
ISSN (Electronic)2405-8963

Conference

Conference13th IFAC Symposium on Robot Control, SYROCO 2022
Country/TerritoryUnited States
CityVirtual, Online
Period17/10/2220/10/22

Keywords

  • Attitude control
  • Autonomous robotic systems
  • L adaptive control
  • Mechatronic systems
  • Motion Control
  • Robotics technology
  • Underwater robot

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