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Trajectory‐keeping in satellite formation flying via robust periodic learning control
Author(s) -
Ahn HyoSung,
Moore Kevin L.,
Chen YangQuan
Publication year - 2010
Publication title -
international journal of robust and nonlinear control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.361
H-Index - 106
eISSN - 1099-1239
pISSN - 1049-8923
DOI - 10.1002/rnc.1538
Subject(s) - trajectory , satellite , control theory (sociology) , iterative learning control , position (finance) , computer science , tracking (education) , orbit (dynamics) , drag , aerospace engineering , physics , control (management) , engineering , artificial intelligence , psychology , pedagogy , finance , astronomy , economics
This paper proposes an iterative learning control (ILC) scheme to ensure trajectory‐keeping in satellite formation flying. Since satellites rotate the earth periodically, position‐dependent disturbances can be considered time‐periodic disturbances. This observation motivates the idea of repetitively compensating for external disturbances such as solar radiation, magnetic field, air drag, and gravity forces in an iterative, orbit‐to‐orbit manner. It is shown that robust ILC can be effectively utilized for satellite trajectory tracking, thus enabling time‐variant formation flying between the leader‐ and follower‐satellites. The validity of the results is illustrated through computational simulations. Copyright © 2009 John Wiley & Sons, Ltd.