NDLI: Fault detection and reconstruction via both full-order and reduced-order sliding mode observers for uncertain nonlinear systems

Content Provider	IEEE Xplore Digital Library
Author	Dhahri, Slim Sellami, Anis Ben Hmida, Faycal
Copyright Year	2015
Description	Author affiliation: ENSIT, University of Tunis, Tunisia (Dhahri, Slim; Sellami, Anis; Ben Hmida, Faycal)
Abstract	This paper considers the problems of fault detection and reconstruction for uncertain nonlinear Lipschitz systems when the so-called structural matching condition is satisfied. The admissible Lipschitz constant of the system is maximized through linear matrix inequality (LMI) optimization. This significantly extends previous results by considering a more general class of system nonlinearities. A full-order sliding mode observer is considered to asymptotically estimate the system states in a finite time when no actuator fault occurs. Based on the observer, we produce a residual which can be used to detect the occurrence of the actuator fault when at least one actuator fault occurs indeed. After this, a reduced-order sliding mode observer is constructed by choosing a special observer gain matrix. The reduced order observer is able to reconstruct the actuator faults using the equivalent output injection concept. Finally, a numerical simulation example is given to illustrate the effectiveness of the proposed methods.
Starting Page	1
Ending Page	11
File Size	228766
Page Count	11
File Format	PDF
ISBN	9780956715753
DOI	10.1109/ICMIC.2015.7409425
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-12-18
Publisher Place	Tunisia
Access Restriction	Subscribed
Rights Holder	University of Al Qayrawan, Tunisia
Subject Keyword	Actuators Uncertainty Fault detection Observers Robustness Nonlinear systems Optimization
Content Type	Text
Resource Type	Article

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