An iterative strategy for robust integration of fault estimation and fault-tolerant control. (November 2022)

• Record Type: Journal Article
• Authors: Lan, Jianglin; Patton, Ron
• Is Part Of: Automatica. Volume 145(2022)
• Publication Date: 2022-11
• Subjects: Fault estimation -- Fault-tolerant control -- Separation Principle -- Small Gain Theorem -- Linear matrix inequality; Automatic control -- Periodicals; Automation -- Periodicals; 629.805
• DOI: 10.1016/j.automatica.2022.110556
• Languages: English
• ISSNs: 0005-1098

Abstract

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.