TY - JOUR
T1 - On-Orbit Servicing Optimization Framework with High-and Low-Thrust Propulsion Tradeoff
AU - Jonchay, Tristan Sarton du
AU - Chen, Hao
AU - Isaji, Masafumi
AU - Shimane, Yuri
AU - Ho, Koki
N1 - Publisher Copyright:
© 2021 by T. Sarton du Jonchay, H. Chen, M. Isaji, Y. Shimane, and K. Ho.
PY - 2022/1
Y1 - 2022/1
N2 - 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.
AB - 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.
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U2 - 10.2514/1.A35094
DO - 10.2514/1.A35094
M3 - Article
AN - SCOPUS:85123598206
SN - 0022-4650
VL - 59
SP - 33
EP - 48
JO - Journal of Spacecraft and Rockets
JF - Journal of Spacecraft and Rockets
IS - 1
ER -