A sliding mode observer based sensor fault detection and isolation scheme for a nonlinear satellite system

This paper proposes a method to detect and isolate gyro faults for a benchmark Mars Express (Mex) satellite subject to uncertainties and noise. A Least squares approach for an over-determined system is used to detect the presence of a fault. Only if a fault is detected is isolation carried forward....

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Bibliographic Details
Published in2012 12th International Workshop on Variable Structure Systems pp. 248 - 253
Main Authors Nagesh, I., Edwards, C.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.01.2012
Subjects
Equations
Fault detection
Mathematical model
Noise
Observers
Satellites
Torque
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ISBN1457720663
9781457720666
ISSN2158-3978
DOI10.1109/VSS.2012.6163510

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Summary:This paper proposes a method to detect and isolate gyro faults for a benchmark Mars Express (Mex) satellite subject to uncertainties and noise. A Least squares approach for an over-determined system is used to detect the presence of a fault. Only if a fault is detected is isolation carried forward. A model for each of the fault cases is developed using the remaining healthy sensors which is a unique advantage of the sensor structure. A generalized bank of nonlinear observers based on sliding modes is designed to isolate the faulty sensor. The equivalent injection signal is processed from each of the observers to generate signals, which are an indicator of the effect of the faulty sensor. The proposed design is verified on a nonlinear Mex satellite for a variety of fault scenarios. Finally the performance of the designed FDI scheme is verified using Monte Carlo simulations.
ISBN:1457720663
9781457720666
ISSN:2158-3978
DOI:10.1109/VSS.2012.6163510