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Actuator fault diagnose for interconnected system via invertibility
Mei Zhang, Ze Tao Li, Qin Mu Wu, Boutaib Dahhou, Michel Cabassud

Actuator fault diagnose for interconnected system via invertibility

Science & Mathematics Published 2019 Verification Pending

Overview & Synopsis

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.

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Document Information

Document Title Actuator fault diagnose for interconnected system via invertibility
Author / Organization Mei Zhang, Ze Tao Li, Qin Mu Wu, Boutaib Dahhou, Michel Cabassud
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2019
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-141484
Original Source Link Visit Source Page on hal.science »