Title: Actuator fault diagnose for interconnected system via invertibility

Authors: Mei Zhang; Ze-Tao Li; Qin-Mu Wu; Boutaïeb Dahhou; Michel Cabassud

Addresses: Electrical Engineering College, Guizhou University, 550025, Guiyang, China ' Electrical Engineering College, Guizhou University, 550025, Guiyang, China ' Electrical Engineering College, Guizhou University, 550025, Guiyang, China ' Univ de Toulouse, UPS, LAAS, F-31400 Toulouse, France ' Univ de Toulouse, UPS, Laboratoire de Génie Chimique, F-31030 Toulouse, France

Abstract: This paper deals with the problem of actuator fault diagnosis for a class of interconnected invertible nonlinear systems. For that, the actuator is viewed as an independent dynamic subsystem in series with the plant dynamic subsystem, thus forming an interconnected system. The invertibility of the interconnected system in both normal and fault models is investigated. An interconnected observer is proposed to monitor the performance of the interconnected system and provide fault information of the actuator subsystem. Then a local fault filtering algorithm is triggered to identify the root faulty parameter causing the detected actuator fault. According to the real situation of the industry, it is assumed that the output of the actuator is not available for measurement and should be reconstructed by the global output of the interconnected system. A method capable of supervising the actuator subsystem at both local and global levels is provided.

Keywords: interconnected system; invertibility; FDD; fault detection and diagnosis; actuator fault diagnosis; fault distinguishability; root faulty parameter.

DOI: 10.1504/IJMIC.2019.107487

International Journal of Modelling, Identification and Control, 2019 Vol.33 No.4, pp.283 - 298

Received: 28 Nov 2019
Accepted: 01 Dec 2019
Published online: 29 May 2020 *

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