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 language | English |
|---|---|
| Pages (from-to) | 1911-1919 |
| Number of pages | 9 |
| Journal | Journal of Intelligent and Fuzzy Systems |
| Volume | 43 |
| Issue number | 2 |
| DOIs | |
| State | Published - 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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