Work

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

Year: 2021

Type: article

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.

Source: Journal of Spacecraft and Rockets

DOI: 10.2514/1.a35094

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

Institution: Georgia Institute of Technology

Language: English

Topic: Space Satellite Systems and Control

Subfield: Aerospace Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

Funder: Defense Advanced Research Projects Agency