Lan, J. and Patton, R. (2022) An iterative strategy for robust integration of fault estimation and fault-tolerant control. Automatica, 145, 110556. (doi: 10.1016/j.automatica.2022.110556)
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Abstract
This paper considers fault estimation (FE) and fault-tolerant control (FTC) for linear parameter varying systems with actuator and sensor faults, uncertainties, and disturbances. The inevitable coupling between the FE and FTC functions needs to be taken into account in the design to ensure the overall FE-based FTC closed-loop system performance and robustness. This paper proposes an iterative strategy to achieve the robust integration of FE and FTC by leveraging the concepts of Separation Principle and Small Gain Theorem. The iterative algorithm involves solving multi-objective linear matrix inequality optimisation problems at each iteration and has finite-step convergence guarantee. Efficacy of the proposed algorithm and its advantages over the existing works are illustrated through numerical simulations.
Item Type: | Articles |
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Additional Information: | This work was supported by the Leverhulme Trust Early Career Fellowship under Award ECF-2021-517. |
Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Lan, Dr Jianglin |
Authors: | Lan, J., and Patton, R. |
College/School: | College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity |
Journal Name: | Automatica |
Publisher: | Elsevier |
ISSN: | 0005-1098 |
ISSN (Online): | 1873-2836 |
Published Online: | 29 August 2022 |
Copyright Holders: | Copyright © 2022 The Authors |
First Published: | First published in Automatica 145: 110556 |
Publisher Policy: | Reproduced under a Creative Commons License |
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