Geosynchronous Earth Orbit Robotic Servicer Mission Design

Verstraete, Andrew; Anderson, Devin; Louis, Nicole M. St.; Hudson, Jennifer

doi:10.2514/1.a33945

Cited by 14 publications

(13 citation statements)

References 17 publications

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“…In this study, we maintain the assumptions for servicing prices that were developed in Ref. [23]: repair operations are associated with a client fee of approximately 25 million USD; refueling operations are 15 million USD; and inspection, repositioning, and retirement are 10 million USD each.…”

Section: Client Satellitesmentioning

confidence: 99%

“…In Ref. [23], several objective functions to quantify the value of a mission sequence were proposed. Various formulations of the objective function considered client fees; penalties for operational delays; and technical risks to the RSV and clients, such as the risk of damaging a client or losing functionality of the RSV's robotic arms.…”

Section: On-orbit Servicing Cost Modelmentioning

confidence: 99%

“…This Note addresses the problem of optimal mission design for a multiclient robotic servicing spacecraft in a client environment that is not fully known before launch. We expand upon previous work, in which economic and technical risks were investigated and a genetic algorithm was used to identify high-value mission sequences in a specific demand scenario [23]. Here, a more realistic client environment is considered.…”

mentioning

confidence: 99%

See 2 more Smart Citations

Versatile On-Orbit Servicing Mission Design in Geosynchronous Earth Orbit

Hudson

Kolosa

2020

Journal of Spacecraft and Rockets

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Section: Client Satellitesmentioning

confidence: 99%

Section: On-orbit Servicing Cost Modelmentioning

confidence: 99%

mentioning

confidence: 99%

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Versatile On-Orbit Servicing Mission Design in Geosynchronous Earth Orbit

Hudson

Kolosa

2020

Journal of Spacecraft and Rockets

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“…(2) One-to-many architectures in which one servicer provides services to a fleet of several client satellites [6][7][8][9][10][11]. An orbital spare depot or refueling station may be considered to further support the OOS operations;…”

Section: Introductionmentioning

confidence: 99%

“…b. The analyses of the operational strategy of a particular OOS infrastructure from a scheduling [7] and/or design standpoint [5,8,9]. Simulation [8,10,13], optimization [7,9,11] or a mixture of both [5] may be used to explore the value of the investigated OOS architecture by varying its operational scheduling and/or design.…”

Section: Introductionmentioning

confidence: 99%

Framework for Modeling and Optimization of On-Orbit Servicing Operations Under Demand Uncertainties

Jonchay

Chen

Gunasekara

et al. 2021

Journal of Spacecraft and Rockets

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This paper develops a framework that models and optimizes the operations of complex onorbit servicing infrastructures involving one or more servicers and orbital depots to provide multiple types of services to a fleet of geostationary satellites. The proposed method extends the state-of-the-art space logistics technique by addressing the unique challenges in on-orbit servicing applications, and integrate it with the Rolling Horizon decision making approach. The space logistics technique enables modeling of the on-orbit servicing logistical operations as a Mixed-Integer Linear Program whose optimal solutions can efficiently be found. The Rolling Horizon approach enables the assessment of the long-term value of an on-orbit servicing infrastructure by accounting for the uncertain service needs that arise over time among the geostationary satellites. Two case studies successfully demonstrate the effectiveness of the framework for (1) short-term operational scheduling and (2) long-term strategic decision making for on-orbit servicing architectures under diverse market conditions.

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