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

This paper proposes an on-orbit servicing logistics optimization framework capable of performing the short-term operational scheduling and long-term strategic planning sustainable infrastructures that involve high-thrust, low-thrust, and/or multimodal servicers supported by orbital depots. The proposed generalizes state-of-the-art method incorporating user-defined trajectory models optimizing operations with propulsion technology tradeoff in consideration. Mixed-integer linear programming is leveraged to find optimal over a given period, whereas rolling horizon approach used consider long time accounting for uncertainties service demand. Several analyses are carried out demonstrate value automatically trading off high- low-thrust systems both infrastructures.