Title:
A Lagrangian Relaxtion-Based Heuristic Approach to Regional Constellation Reconfiguration Problem

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Author(s)
Lee, Hang Woon
Ho, Koki
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Daniel Guggenheim School of Aerospace Engineering
The Daniel Guggenheim School of Aeronautics was established in 1931, with a name change in 1962 to the School of Aerospace Engineering
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Abstract
A group of satellites—with either heterogeneous or homogeneous orbital characteristics and/or hardware specifications—can undertake a reconfiguration process due to variations in operations pertaining to regional coverage missions. This paper is concerned with the optimization of the specifications of the reconfiguration process that maximizes (resp., minimizes) the utility (resp., the cost). The specifications refer to the final design configuration and the transportation of satellites from one configuration to another. The utility refers to the coverage performance of the final configuration; the cost refers to the ΔV consumed or the time of flight incurred due to the reconfiguration process. We present an integer linear program formulation of the regional satellite constellation reconfiguration problem and two heuristic solution methods based on Lagrangian relaxation.
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2021-08
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Paper
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