Cislunar Satellite Constellation Design via Integer Linear Programming

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Cislunar_Satellite_Constellation_Design_Via_Integer_Linear_Programming_.pdf (2.26 MB)
Author(s)
Patel, Malav
Shimane, Yuri
Woon Lee, Hang
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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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https://hdl.handle.net/1853/78024
 https://doi.org/10.35090/gatech/78024
Abstract
Cislunar space domain awareness is of increasing interest to the international community as Earth-Moon traffic is projected to increase, which raises the problem of placing space-based sensors optimally in a constellation to satisfy the space domain awareness demand in cislunar space. This demand profile can vary over space and time, making the design optimization problem challenging. This paper tackles the problem of satellite constellation design for spatio-temporally varying coverage demand by leveraging an integer linear programming formulation. The developed optimization formulation assumes the circular restricted 3-body dynamics and attempts to minimize the number of satellites required for the requested demand profile.
Sponsor
The authors gratefully acknowledge support for this research from AFOSR, grant FA9550-22-1-0092 (grant principal investigator: J. Crassidis from University at Bufalo, The State University of New York).
Date
2024
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Text
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