An iterative strategy for robust integration of fault estimation and fault-tolerant control

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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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
Additional Information:This work was supported by the Leverhulme Trust Early Career Fellowship under Award ECF-2021-517.
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
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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