Robust image-based coordinated control for spacecraft formation flying
被引:5
作者:
Hu, Dayong
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机构:
Harbin Inst Technol, Res Ctr Satellite Technol, Harbin 150080, Peoples R ChinaHarbin Inst Technol, Res Ctr Satellite Technol, Harbin 150080, Peoples R China
Hu, Dayong
[1
]
Zhao, Xiangtian
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Harbin Inst Technol, Res Ctr Satellite Technol, Harbin 150080, Peoples R ChinaHarbin Inst Technol, Res Ctr Satellite Technol, Harbin 150080, Peoples R China
Zhao, Xiangtian
[1
]
Zhang, Shijie
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Harbin Inst Technol, Res Ctr Satellite Technol, Harbin 150080, Peoples R ChinaHarbin Inst Technol, Res Ctr Satellite Technol, Harbin 150080, Peoples R China
Zhang, Shijie
[1
]
机构:
[1] Harbin Inst Technol, Res Ctr Satellite Technol, Harbin 150080, Peoples R China
This paper addresses a coordinated control problem for Spacecraft Formation Flying (SFF). The distributed followers are required to track and synchronize with the leader spacecraft. By using the feature points in the two-dimensional image space, an integrated 6-degree-of-freedom dynamic model is formulated for spacecraft relative motion. Without sophisticated three-dimensional reconstruction, image features are directly utilized for the controller design. The pro-posed image-based controller can drive the follower spacecraft in the desired configuration with respect to the leader when the real-time captured images match their reference counterparts. To improve the precision of the formation configuration, the proposed controller employs a coordi-nated term to reduce the relative distance errors between followers. The uncertainties in the system dynamics are handled by integrating the adaptive technique into the controller, which increases the robustness of the SFF system. The closed-loop system stability is analyzed using the Lyapunov method and algebraic graph theory. A numerical simulation for a given SFF scenario is performed to evaluate the performance of the controller.(c) 2021 Chinese Society of Aeronautics and Astronautics. Production and hosting by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
机构:
Univ Texas Rio Grande Valley, Dept Elect & Comp Engn, Edinburg, TX 79539 USAUniv Texas Rio Grande Valley, Dept Elect & Comp Engn, Edinburg, TX 79539 USA
Dony, Md Nur-A-Adam
Dong, Wenjie
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机构:
Univ Texas Rio Grande Valley, Dept Elect & Comp Engn, Edinburg, TX 79539 USAUniv Texas Rio Grande Valley, Dept Elect & Comp Engn, Edinburg, TX 79539 USA