DocumentCode :
3159989
Title :
Federated hybrid Extended Kalman Filter design for multiple satellites formation flying in LEO
Author :
Ilyas, Muhammad ; Lee, Jang Gyu ; Park, Chan Gook
Author_Institution :
Sch. of Electr. Eng.&Comput. Sci., Seoul Nat. Univ., Seoul
fYear :
2008
fDate :
20-22 Aug. 2008
Firstpage :
2595
Lastpage :
2600
Abstract :
First of all linear as well as non-linear relative dynamic model for satellites in formation flying in low earth orbit (LEO) is derived and next state estimation based on Kalman filter is emphasized. In this paper, we have proposed a more accurate and robust state estimation technique named federated extended Kalman filter (FEKF) for relative navigation information of two small satellites in formation flying scenario. Principally, state estimation in formation flying is a multi-sensor data fusion problem, so main topic of this paper is to design an optimal/suboptimal fault tolerant state estimator for this relative dynamic model which represents formation flying of two satellites in LEO. A comparison of the centralized Kalman filter (CKF) and the federated Kalman filter has been made to show that FKF exhibits fault tolerance ability. Also, FKF if used in optimal mode is equivalent to the centralized Kalman filter. Fault detection and isolation (FDI) techniques are also briefly discussed and applied to the federated filtering schemes.
Keywords :
Kalman filters; artificial satellites; estimation theory; fault tolerance; nonlinear filters; sensor fusion; state estimation; LEO; centralized Kalman filter; fault detection and isolation techniques; fault tolerance ability; federated Kalman filter; federated filtering schemes; federated hybrid extended Kalman filter design; low earth orbit; multiple satellites formation flying; multisensor data fusion problem; nonlinear relative dynamic model; optimal/suboptimal fault tolerant state estimator; relative navigation information; robust state estimation technique; Equations; Fault detection; Fault tolerance; Information filtering; Information filters; Low earth orbit satellites; Satellite broadcasting; Satellite navigation systems; State estimation; Vehicle dynamics; Centralized EKF; Fault Detection and Isolation(FDI); Federated EKF; Information Filter; Relative dynamic model; formation flying;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
SICE Annual Conference, 2008
Conference_Location :
Tokyo
Print_ISBN :
978-4-907764-30-2
Electronic_ISBN :
978-4-907764-29-6
Type :
conf
DOI :
10.1109/SICE.2008.4655104
Filename :
4655104
Link To Document :
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