Disturbance observer supported fuzzy model based controller with application to bilateral teleoperation systems

Muhammad Usman Asad, Jason Gu*, Umar Farooq, Marius Balas, Zheng Chen, Khurram Karim Qureshi, Ghulam Abbas, Chunqi Chang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

This paper proposes a disturbance observer supported Takagi-Sugeno (TS) fuzzy model-based control scheme for uncertain systems. The baseline controller is a guaranteed performance fuzzy model based parallel distributed controller (PDC) which is constructed using the nominal system's parameters. The model approximation error and parametric uncertainties are treated as a lumped disturbance and a nonlinear disturbance observer (NDOB) is introduced to counter the lumped disturbance. The applicability of the proposed scheme is demonstrated on the bilateral control of nonlinear teleoperation system in MATLAB/Simulink/QUARC environment through simulations as well as semi-real time experiments.

Original languageEnglish
Pages (from-to)1911-1919
Number of pages9
JournalJournal of Intelligent and Fuzzy Systems
Volume43
Issue number2
DOIs
StatePublished - 2022

Bibliographical note

Publisher Copyright:
© 2022 - IOS Press. All rights reserved.

Keywords

  • MATLAB/Simulink/QUARC
  • TS fuzzy modeling
  • parallel distributed compensation
  • state convergence
  • teleoperation

ASJC Scopus subject areas

  • Statistics and Probability
  • General Engineering
  • Artificial Intelligence

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