Robust Sensor Faults Reconstruction for a Class of Uncertain Linear Systems Using a Sliding Mode Observer: An LMI Approach

Journal Article · Thu Mar 05 00:00:00 EST 2009 · AIP Conference Proceedings

DOI:https://doi.org/10.1063/1.3106520· OSTI ID:21293341

Iskander, Boulaabi; Faycal, Ben Hmida; Moncef, Gossa ^[1]; Anis, Sellami ^[1]; recherche RME-Groupe AIA, Unite de ^[2]

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1. Ecole Superieure des Sciences et Techniques de Tunis (ESSTT), 5 Av. Taha Hussein, BP 56, 1008 Tunis (Tunisia)
2. Tunisia

This paper presents a design method of a Sliding Mode Observer (SMO) for robust sensor faults reconstruction of systems with matched uncertainty. This class of uncertainty requires a known upper bound. The basic idea is to use the H{sub {infinity}} concept to design the observer, which minimizes the effect of the uncertainty on the reconstruction of the sensor faults. Specifically, we applied the equivalent output error injection concept from previous work in Fault Detection and Isolation (FDI) scheme. Then, these two problems of design and reconstruction can be expressed and numerically formulate via Linear Matrix Inequalities (LMIs) optimization. Finally, a numerical example is given to illustrate the validity and the applicability of the proposed approach.

• OSTI ID: 21293341
• Journal Information: AIP Conference Proceedings, Vol. 1107, Issue 1; Conference: CISA'09: 2. Mediterranean conference on intelligent systems and automation, Zarzis (Tunisia), 23-25 Mar 2009; Other Information: DOI: 10.1063/1.3106520; (c) 2009 American Institute of Physics; Country of input: International Atomic Energy Agency (IAEA); ISSN 0094-243X
• Country of Publication: United States
• Language: English

Related Subjects

71 CLASSICAL AND QUANTUM MECHANICS
GENERAL PHYSICS
APPROXIMATIONS
DESIGN
DETECTION
ERRORS
FAULT TREE ANALYSIS
LEAST SQUARE FIT
MATRICES
NONLINEAR PROBLEMS
OPTIMIZATION
SENSORS