An Integral Sliding-Mode Robust Regulation for Constrained Three-Wheeled Omnidirectional Mobile Robots

Ariana Gutierrez, Manuel Mera, Hector Rios

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

2 Scopus citations

Abstract

This paper proposes a solution to the regulation problem for a three-wheeled omnidirectional mobile robot (OMR) with input saturation, state constraints, parameter uncertainties, and external disturbances. The proposed robust control is composed of a linear and a nonlinear part, which can be designed independently due to the use of an integral sliding-mode control approach. The linear control deals with the input saturation, the state constraints, and the parameter uncertainties, while the nonlinear part is also saturated and can compensate the effect of some matched disturbances. Also, a safe set where the system trajectories do not transgress the state constraints and input saturation is provided. The proposed scheme guarantees asymptotic convergence to zero of the regulation error coping with the system constraints and disturbances. A constructive and simple method, based on linear matrix inequalities (LMIs), is proposed to compute the controller gains. Some simulation results illustrate the feasibility of the proposed scheme.

Original languageEnglish
Title of host publication2022 IEEE 61st Conference on Decision and Control, CDC 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3637-3642
Number of pages6
ISBN (Electronic)9781665467612
DOIs
StatePublished - 2022
Event61st IEEE Conference on Decision and Control, CDC 2022 - Cancun, Mexico
Duration: 6 Dec 20229 Dec 2022

Publication series

NameProceedings of the IEEE Conference on Decision and Control
Volume2022-December
ISSN (Print)0743-1546
ISSN (Electronic)2576-2370

Conference

Conference61st IEEE Conference on Decision and Control, CDC 2022
Country/TerritoryMexico
CityCancun
Period6/12/229/12/22

Keywords

  • Input Saturation
  • Mobile Robots
  • Robust Control
  • State Constraints

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