Open AccessSensor fault diagnosis using a non‐homogeneous high‐order sliding mode observer with application to a transport aircraft
Author(s) -
Loza Alejandra Ferreira,
Cieslak Jérôme,
Henry David,
Dávila Jorge,
Zolghadri Ali
Publication year - 2015
Publication title -
iet control theory and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.059
H-Index - 108
eISSN - 1751-8652
pISSN - 1751-8644
DOI - 10.1049/iet-cta.2014.0226
Subject(s) - observability , control theory (sociology) , bounded function , observer (physics) , fault (geology) , unobservable , avionics , computer science , fault detection and isolation , engineering , control engineering , mathematics , artificial intelligence , actuator , control (management) , mathematical analysis , physics , quantum mechanics , seismology , aerospace engineering , econometrics , geology
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.