Autonomous operations of large-scale satellite constellations and ground station networks
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Authors
Minelli, Giovanni
Karpenko, Mark
Ross, I. Michael
Newman, James
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Date of Issue
2017
Date
2017
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Abstract
A dynamic optimization problem is employed to aid operators o f large-scale satellite constellations with automated mission planning and data collection. Traditional techniques focus on graph-theoretic ideas that use heuristics to simplify the problem. The solution presented in this paper is formulated as a dynamic optimization problem that scales linearly as the number of satellites and ground stations increases. The problem formulation is implemented with the DIDO (c) pseudospectral optimal control solver to produce deconflicted ground antenna slew trajectories as a function ofparameters and constraints used commonly by satellite operators. In this paper, one such factor, space-to-ground link margin. is used for the proofofconcept. Other parameters can include mission priority, asset availability, and onboard spacecraft health. The specific problem solved here is to optimally slew ground-based antennas between multiple satellites that are simultaneously in view of one or more earth stations. The approach is tested using orbiting CubeSats and the Mobile CubeSat Command and Control (MC3) network.
Type
Conference Paper
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Department
Mechanical and Aerospace Engineering (MAE)
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Format
11 p.
Citation
Minelli, G., et al. "Autonomous operations of large-scale satellite constellations and ground station networks." AAS/AIAA Astrodynamics Specialist Conference. 2017.
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This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.