Adaptive Observer Design for Sensor Fault Detection and Reconstruction
https://doi.org/10.17587/mau.20.515-523
Abstract
A new approach is presented for sensor fault detection reconstruction and state estimation. The system considered is linear polytopic parameter-vary ing (LPV) system. The main idea is the design of a novel robust adaptive observer based on and polyquadratic formulation with a new set of relaxation. Sufficient conditions are given by a set of Linear Matrix Inequalities (LMI) in order to guarantee the stability of the system and the asymptotic convergence of the fault error. A simulation example has been studied to illustrate the proposed methods by detecting constant and variable sensor fault.
About the Authors
N. Bedioui
Robotics, Informatics and Complex Systems (RISC), ENIT, University of Tunis El Manar;
Higher Institute of Information and Communication Technol ogies, University of Carthage
Tunisia
Tunisia
Associate Professor
Tunis
R. Houimli
Higher Institute of Information and Communication Technol ogies, University of Carthage
Tunisia
Tunisia
PhD
Tunis
M. Besbes
Robotics, Informatics and Complex Systems (RISC), ENIT, University of Tunis El Manar;
Higher Institute of Information and Communication Technol ogies, University of Carthage
Tunisia
Tunisia
Professor
Tunis
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Review
For citations:
Bedioui N., Houimli R., Besbes M. Adaptive Observer Design for Sensor Fault Detection and Reconstruction. Mekhatronika, Avtomatizatsiya, Upravlenie. 2019;20(9):515-523. https://doi.org/10.17587/mau.20.515-523
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