On-Orbit Servicing Optimization Framework with High- and Low-Thrust Propulsion Tradeoff

This paper proposes an on-orbit servicing logistics optimization framework that is capable of performing the short-term operational scheduling and long-term strategic planning of sustainable servicing infrastructures that involve high-thrust, low-thrust, and/or multimodal servicers supported by orbi...

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Bibliographic Details
Published in:arXiv.org 2021-03
Main Authors: Tristan Sarton du Jonchay, Chen, Hao, Isaji, Masafumi, Shimane, Yuri, Ho, Koki
Format: Article
Language:English
Subjects:
Aerospace environments
Integer programming
Linear programming
Logistics
Mixed integer
Optimization
Orbital servicing
Propulsion systems
Scheduling
Strategic planning
Tradeoffs
Trajectories
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Summary:This paper proposes an on-orbit servicing logistics optimization framework that is capable of performing the short-term operational scheduling and long-term strategic planning of sustainable servicing infrastructures that involve high-thrust, low-thrust, and/or multimodal servicers supported by orbital depots. The proposed framework generalizes the state-of-the-art on-orbit servicing logistics optimization method by incorporating user-defined trajectory models and optimizing the logistics operations with the propulsion technology and trajectory tradeoff in consideration. Mixed-Integer Linear Programming is leveraged to find the optimal operations of the servicers over a given period, while the Rolling Horizon approach is used to consider a long time horizon accounting for the uncertainties in service demand. Several analyses are carried out to demonstrate the value of the proposed framework in automatically trading off the high- and low-thrust propulsion systems for both short-term operational scheduling and long-term strategic planning of on-orbit servicing infrastructures.
ISSN:2331-8422