NDLI: Sensor fault diagnosis using a non-homogeneous high-order sliding mode observer with application to a transport aircraft

Content Provider	IET Digital Library
Author	Loza, Alejandra Ferreira de Cieslak, Jérôme Henry, David Dávila, Jorge Zolghadri, Ali
Abstract	In avionics and aerospace multisensor systems, reliable and early detection of individual sensor faults present substantial challenges to health monitoring designers of such systems. This study addresses the problem of sensor fault diagnosis. The proposed solution is based on a non-homogeneous high-order sliding mode observer used to estimate the faults, theoretically in finite time and in the presence of bounded disturbances. The sensor faults are estimated for the class of systems satisfying the structural property of strong observability. A key feature of the proposed solution is concerned by the effect that measurement noise could have on fault reconstruction. It is shown that the fault estimation error is bounded in the L ∞-norm sense, and an upper bound is theoretically derived. The method is applied to the problem of sensor fault estimation of a large transport aircraft. Simulation results as well as a pilot experiment are presented to demonstrate the potential of the proposed method.
Starting Page	598
Ending Page	607
Page Count	10
ISSN	17518644
Volume Number	9
e-ISSN	17518652
Issue Number	Issue 4, Feb (2015)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cta/9/4
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cta.2014.0226
Journal	IET Control Theory & Applications
Publisher Date	2015-01-06
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Aerospace Control Aerospace Multisensor System Aircraft Control Avionics Fault Diagnosis Fault Estimation Error Measurement Noise Multivariable Control System Nonhomogeneous High-order Sliding Mode Observer Observability Sensor Fault Diagnosis Sensor Fault Estimation Sensor Fusion Transport Aircraft Variable Structure System
Content Type	Text
Resource Type	Article
Subject	Control and Optimization Control and Systems Engineering Human-Computer Interaction Electrical and Electronic Engineering Computer Science Applications

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