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

Tristan Sarton du Jonchay, Hao Chen, Masafumi Isaji, Yuri Shimane, Koki Ho

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

This paper proposes an on-orbit servicing logistics optimization framework 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, whereas 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.

Original languageEnglish
Pages (from-to)33-48
Number of pages16
JournalJournal of Spacecraft and Rockets
Volume59
Issue number1
DOIs
StatePublished - Jan 2022

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