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

Lan, Jianglin; Patton, Ron

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.

Citation

Lan, J., & Patton, R. (2022). An iterative strategy for robust integration of fault estimation and fault-tolerant control. Automatica : the journal of IFAC, the International Federation of Automatic Control, 145, Article 110556. https://doi.org/10.1016/j.automatica.2022.110556

• Journal Article Type: Article
• Acceptance Date: Jun 28, 2022
• Online Publication Date: Aug 29, 2022
• Publication Date: 2022-11
• Deposit Date: Feb 22, 2023
• Publicly Available Date: Feb 23, 2023
• Journal: Automatica
• Print ISSN: 0005-1098
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 145
• Article Number: 110556
• DOI: https://doi.org/10.1016/j.automatica.2022.110556
• Keywords: Fault estimation; Fault-tolerant control; Separation Principle; Small Gain Theorem; Linear matrix inequality
• Public URL: https://hull-repository.worktribe.com/output/4088820