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Decentralized Model Predictive Control of Swarms of Spacecraft Using Sequential Convex Programming

Morgan, Daniel and Chung, Soon-Jo and Hadaegh, Fred Y. (2013) Decentralized Model Predictive Control of Swarms of Spacecraft Using Sequential Convex Programming. In: Spaceflight mechanics meeting, 2013. Advances in the Astronautical Sciences . No.148. Univelt Inc. , pp. 1-20. ISBN 978-0-87703-597-8.

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This paper presents a decentralized, model predictive control algorithm for the reconfiguration of swarms of spacecraft composed of hundreds to thousands of agents with limited capabilities. In our prior work, sequential convex programming has been used to determine collision-free, fuel-efficient trajectories for the reconfiguration of spacecraft swarms. This paper uses a model predictive control approach to implement the sequential convex programming algorithm in real-time. By updating the optimal trajectories during the reconfiguration, the model predictive control algorithm results in decentralized computations and communication between neighboring spacecraft only. Additionally, model predictive control reduces the horizon of the convex optimizations, which reduces the run time of the algorithm.

Item Type:Book Section
Chung, Soon-Jo0000-0002-6657-3907
Additional Information:© 2013 American Institute of Aeronautics and Astronautics. This research was carried out in part at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration. © California Institute of Technology. This work was supported by a NASA Office of the Chief Technologists Space Technology Research Fellowship. Government sponsorship acknowledged.
Funding AgencyGrant Number
Series Name:Advances in the Astronautical Sciences
Issue or Number:148
Record Number:CaltechAUTHORS:20161222-070302558
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Official Citation:Morgan, D., Chung, S. J., & Hadaegh, F. Y. (2013). Decentralized model predictive control of swarms of spacecraft using sequential convex programming. In Advances in the Astronautical Sciences. (Vol. 148, pp. 3835-3854). Univelt Inc..
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:73120
Deposited By: Ruth Sustaita
Deposited On:22 Dec 2016 17:21
Last Modified:03 Oct 2019 16:24

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