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Fault Tolerant Attitude Estimation for an LEO Satellite Using a Multi-hypothesis Filter

Cited 2 time in Web of Science Cited 2 time in Scopus
Authors
Lim, Jun Kyu; Choi, Kwang Rok; Park, Chan Gook
Issue Date
2012-10
Publisher
Springer
Citation
International Journal of Control, Automation, and Systems (2012) 10(5):1070-1076
Keywords
Fault identificationKalman filtermulti-hypothesis filterrobust attitude estimationsatellite FDI
Abstract
The aim of this paper is to improve state estimation and FDI performance. We proposed an
algorithm using a model based multi-hypothesis filter (MHF). With this method, we can detect and
identify the fault on a satellite actuator. Also, we can improve the attitude estimation performance of a
satellite attitude control system. In this method, there are several models for a possible failure situation
and the model probabilities are decided from the residuals of each filter. The master filter finds the
most suitable state estimation result from the weighting sum of each filter based on probabilities. And a
probability crossing detection algorithm and thresholding algorithm based on probabilities are introduced
for fault detection and identification of satellite actuators. The simulation results demonstrate the
advantages of the MHF-based method proposed.
ISSN
1598-6446
Language
English
URI
http://hdl.handle.net/10371/78973
DOI
https://doi.org/10.1007/s12555-012-0526-y
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College of Engineering/Engineering Practice School (공과대학/대학원)Dept. of Mechanical Aerospace Engineering (기계항공공학부)Others_기계항공공학부
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