Multidisciplinary Design Optimization of an On-Orbit Servicing Constellation in Low Earth Orbit

Sirieys, Elwyn; Luu, Michael; Weck, Olivier L. de

doi:10.2514/6.2021-4190

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“…Sarton du Jonchay and Ho [16] studied servicing architectures including both MEO and GEO satellites, but assumed these to be coplanar. Meanwhile, studies for LEO has also been considered by and Sirieys et al [20]. Luu and Hastings [18] also provides a review of ongoing work on OSAM for LEO constellations.…”

Section: Introductionmentioning

confidence: 99%

Orbital Facility Location Problem for Satellite Constellation Servicing Depots

Shimane¹,

Gollins²,

Ho³

2023

Preprint

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Section: Introductionmentioning

confidence: 99%

Orbital Facility Location Problem for Satellite Constellation Servicing Depots

Shimane¹,

Gollins²,

Ho³

2023

Preprint

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Orbital Facility Location Problem for Satellite Constellation Servicing Depots

Shimane,

Gollins,

2024

Journal of Spacecraft and Rockets

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This work proposes an adaptation of the facility location problem for the optimal placement of on-orbit servicing depots for satellite constellations in high-altitude orbit. The high-altitude regime, such as medium Earth orbit, is a unique dynamic environment where low-thrust propulsion systems can provide the necessary thrust to conduct plane-change maneuvers between the various orbital planes of the constellation. As such, on-orbit servicing architectures involving servicer spacecraft that conduct roundtrips between servicing depots and the client satellites of the constellation may be conceived. To this end, a new orbital facility location problem formulation is proposed based on binary linear programming, in which the costs of operating and allocating the facility(ies) to satellites are optimized in terms of the sum of the effective mass to low Earth orbit (EMLEO). The low-thrust transfers between the facilities and the clients are computed using a parallel implementation of a Lyapunov feedback controller. The total launch cost of the depot, along with its servicers, propellant, and payload, is taken into account as the cost to establish a given depot. The proposed approach is applied to designing an on-orbit servicing depot architecture for the Galileo and the GPS constellations.

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Multidisciplinary Design Optimization of an On-Orbit Servicing Constellation in Low Earth Orbit

Cited by 2 publications

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Orbital Facility Location Problem for Satellite Constellation Servicing Depots

Orbital Facility Location Problem for Satellite Constellation Servicing Depots

Orbital Facility Location Problem for Satellite Constellation Servicing Depots

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