Trajectory‐keeping in satellite formation flying via robust periodic learning control |
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Authors: | Hyo‐Sung Ahn Kevin L. Moore YangQuan Chen |
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Affiliation: | 1. Department of Mechatronics, Gwangju Institute of Science and Technology (GIST), 1 Oryong‐dong, Buk‐gu, Gwangju 500‐712, Korea;2. Division of Engineering, Colorado School of Mines, 1610 Illinois Street, Golden, CO 80401, U.S.A.;3. Center for Self‐Organizing and Intelligent Systems (CSOIS), Department of Electrical and Computer Engineering, 4160 Old Main Hill, Utah State University, Logan, UT 84322‐4160, U.S.A. |
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Abstract: | 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. |
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Keywords: | robust iterative learning control satellite formation flying time‐variant formation flying trajectory keeping |
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