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Unknown Input Fault Detection and Isolation Observer Design for Neutral Systems
Author(s) -
Elhsoumi Aicha,
Hadj Ali Saloua Bel,
Harabi Rafika El,
Abdelkrim Mohamed Naceur
Publication year - 2016
Publication title -
asian journal of control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.769
H-Index - 53
eISSN - 1934-6093
pISSN - 1561-8625
DOI - 10.1002/asjc.1256
Subject(s) - control theory (sociology) , fault detection and isolation , observer (physics) , decoupling (probability) , residual , actuator , lyapunov function , computer science , linear matrix inequality , control engineering , mathematics , engineering , nonlinear system , mathematical optimization , algorithm , control (management) , artificial intelligence , physics , quantum mechanics
This paper deals with actuator fault diagnosis of neutral delayed systems with multiple time delays using an unknown input observer. The main purpose is to design an observer that guarantees the asymptotic stability of the estimate error dynamics and the actuator fault detection. The existence conditions for such an observer are established. The main problem studied in this paper aims at designing observer‐based fault detection and isolation. The designed observer enhances the robust diagnosis performance, including rapidity and accuracy, and generates residuals that enjoy perfect decoupling properties among faults. Based on Lyapunov stability theory, the design of the observer is formulated in terms of linear matrix inequalities, and the diagnosis scheme is based on a bank of unknown input observers for residual generation that guarantees fault detection and isolation in the presence of external disturbances. A numerical example is presented to illustrate the efficiency of the proposed approach.