Trajectory‐keeping in satellite formation flying via robust periodic learning control
Trajectory‐keeping in satellite formation flying via robust periodic learning control
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DOI：
10.1002/rnc.1538
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发表时间：
2010-09
影响因子：
3.9
通讯作者：
H. Ahn;K. Moore;Y. Chen
中科院分区：
文献类型：
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作者：
H. Ahn;K. Moore;Y. Chen
针对卫星编队飞行中的轨迹保持问题，提出了一种迭代学习控制方法.由于卫星周期性地旋转地球，因此位置相关扰动可以被认为是时间周期扰动。这一观察激发了以迭代的轨道到轨道的方式重复补偿外部干扰的想法，例如太阳辐射，磁场，空气阻力和重力。结果表明，鲁棒迭代学习控制可以有效地用于卫星轨迹跟踪，从而实现领导者和追随者之间的时变编队飞行。结果的有效性通过计算机模拟说明。版权所有© 2009约翰威利父子有限公司。
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.