NDLI: Federated Unscented Kalman Filter design for multiple satellites formation flying in LEO

Content Provider	IEEE Xplore Digital Library
Author	Ilyas, M. JunKyu Lim Jang Gyu Lee Chan Gook Park
Copyright Year	2008
Description	Author affiliation: Sch. of Mech. & Aerosp. Eng., Seoul Nat. Univ., Seoul (JunKyu Lim; Jang Gyu Lee; Chan Gook Park) \|\| Sch. of Electr. Eng. & Comput. Sci., Seoul Nat. Univ., Seoul (Ilyas, M.)
Abstract	The main focus of this paper is to design a more accurate optimal/suboptimal fault tolerant state estimator for relative dynamic model representing formation flying of two satellites in low Earth orbit (LEO). First of all a mathematical model describing the relative dynamic motion of two satellites in formation is derived and next state estimation based on Kalman filter is emphasized. The measurement system comprises of a RADAR sensor installed on the leader satellite which measures the relative position, azimuth and elevation angle of the follower satellite with respect to reference satellite and carrier phase differential GPS (CDGPS) sensor measuring relative position directly. We have adopted nonlinear system and measurement models and used more advanced nonlinear filtering method called unscented Kalman filter (UKF) in this paper in pursue of better state estimator in a nonlinear environment. Also we are using more than one sensor to measure same state hence this becomes a multisensor data fusion problem. We implement a federated UKF and apply fault detection and isolation (FDI) algorithms to get a fault tolerant filter. A comparison of unscented Kalman filter and extended Kalman filter has been made to show superior performance of UKF.
Starting Page	453
Ending Page	458
File Size	510605
Page Count	6
File Format	PDF
ISBN	9788995003893
DOI	10.1109/ICCAS.2008.4694683
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-10-14
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	ICROS
Subject Keyword	Phase measurement Extraterrestrial measurements Sensor systems Fault tolerance Relative dynamic model formation flying Radar measurements Fault detection Low earth orbit satellites federated UKF Position measurement Mathematical model State estimation fault detection and isolation
Content Type	Text
Resource Type	Article

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