DocumentCode
3190322
Title
Kalman Filter Innovation Sequence Based Fault Detection in LEO Satellite Attitude Determination and Control System
Author
Okatan, A. ; Hajiyev, Ch ; Hajiyeva, U.
Author_Institution
Golden Horn Univ., Istanbul
fYear
2007
fDate
14-16 June 2007
Firstpage
411
Lastpage
416
Abstract
In this paper, fault detection algorithm for LEO satellite attitude determination and control system using an approach for checking the statistical characteristics of Extended Kalman filter (EKF) innovation sequence is proposed. It is based on given statistics for the mathematical expectation of the spectral norm of the normalized innovation matrix of the EKF. The attitude dynamics of the LEO satellite as an example, is considered, and detection of various sensor faults affecting the mean and variance is examined.
Keywords
Kalman filters; artificial satellites; attitude control; LEO satellite; attitude control; attitude determination; extended Kalman filter; fault detection; Control systems; Electronic mail; Extraterrestrial measurements; Fault detection; Low earth orbit satellites; Noise measurement; Position measurement; Redundancy; Sensor phenomena and characterization; Technological innovation;
fLanguage
English
Publisher
ieee
Conference_Titel
Recent Advances in Space Technologies, 2007. RAST '07. 3rd International Conference on
Conference_Location
Istanbul
Print_ISBN
1-4244-1057-6
Electronic_ISBN
1-4244-1057-6
Type
conf
DOI
10.1109/RAST.2007.4284023
Filename
4284023
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