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Autonomous In-Orbit Satellite Assembly from a Modular Heterogeneous Swarm using Sequential Convex Programming

Foust, Rebecca C. and Chung, Soon-Jo and Hadaegh, Fred Y. (2016) Autonomous In-Orbit Satellite Assembly from a Modular Heterogeneous Swarm using Sequential Convex Programming. In: AIAA/AAS Astrodynamics Specialist Conference. American Institute of Aeronautics and Astronautics , Art. No. 2016-5271. ISBN 978-1-62410-445-9.

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This paper presents a decentralized guidance and control scheme to combine a heterogeneous swarm of component satellites into a large satellite structure. Building on prior work, the Swarm Orbital Construction Algorithm was made more realistic and correct by changing the docking and collision avoidance criteria and implementing a nonlinear correction in the convex optimization solver. The algorithm was then extended to function in a simulated perturbed 6-DOF spacecraft environment. This required the addition of an attitude barrier function to the target assignment algorithm as discussed in the previous paper, as well as the selection of a realistic range for actuator performance and spacecraft shape parameters. Simulation results are presented using a swarm of CubeSat-class satellites.

Item Type:Book Section
Related URLs:
URLURL TypeDescription ItemJournal Article
Foust, Rebecca C.0000-0003-1470-1716
Chung, Soon-Jo0000-0002-6657-3907
Additional Information:© 2016 American Institute of Aeronautics and Astronautics.
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Other Numbering System NameOther Numbering System ID
AIAA Paper2016-5271
Record Number:CaltechAUTHORS:20171214-075651822
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Official Citation:Rebecca Foust, University of Illinois, Urbana-Champaign; Soon-Jo Chung, University of Illinois, Urbana-Champaign; Fred Hadaegh, Jet Propulsion Laboratory, California Institute of Technology. AIAA/AAS Astrodynamics Specialist Conference Long Beach, California
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:83914
Deposited By: Tony Diaz
Deposited On:14 Dec 2017 18:11
Last Modified:15 Nov 2021 20:15

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