NDLI: Extended Kalman filter design for multiple satellites formation flying

Content Provider	IEEE Xplore Digital Library
Author	Ilyas, M. Iqbal, M. Jang Gyu Lee Chan Gook Park
Copyright Year	2008
Description	Author affiliation: Sch. of Electr. Eng. & Comput. Sci., Seoul Nat. Univ., Seoul (Ilyas, M.; Jang Gyu Lee) \|\| Sch. of Mech. & Aerosp. Eng., Seoul Nat. Univ., Seoul (Chan Gook Park) \|\| Center of Adv. Studies in Eng., Islamabad (Iqbal, M.)
Abstract	First of all, mathematically detailed non-linear and linear relative dynamic models for satellites in formation flying in low earth orbit (LEO) are derived and next state estimation based on Kalman filter is emphasized. The Extended Kalman filter (EKF) and linear Kalman filter (LKF) for nonlinear and linear relative models respectively are compared in this paper. By increasing relative distance between satellites in formation, EKF based on nonlinear model outperforms the LKF which is based on linear model. A comparison of the centralized EKF and the centralized LKF has been made to show that centralized EKF exhibits better performance for large formations in terms of absolute estimation error.
Starting Page	56
Ending Page	61
File Size	2979140
Page Count	6
File Format	PDF
ISBN	9781424422104
DOI	10.1109/ICET.2008.4777474
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-10-18
Publisher Place	Pakistan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Airplanes Solid modeling Control systems Aerodynamics Aircraft navigation Elevators Aerospace control Satellites Relative dynamic model formation flying extended Kalman filter linear Kalman filter Mathematical model Radio control
Content Type	Text
Resource Type	Article

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