This paper develops a framework that models and optimizes the operations of complex on-orbit servicing infrastructures involving one or more servicers and orbital depots to provide multiple types of services to a fleet of geostationary satellites. The proposed method extends the state-of-the-art space logistics technique by addressing the unique challenges in on-orbit servicing applications and integrates it with the Rolling Horizon decision-making approach. The space logistics technique enables modeling of the on-orbit servicing logistical operations as a Mixed-Integer Linear Program whose optimal solutions can efficiently be found. The Rolling Horizon approach enables the assessment of the long-term value of an on-orbit servicing infrastructure by accounting for the uncertain service needs that arise over time among the geostationary satellites. Two case studies successfully demonstrate the effectiveness of the framework for 1) short-term operational scheduling and 2) long-term strategic decision making for on-orbit servicing architectures under diverse market conditions.

本文开发了一个框架，该框架对复杂的在轨服务基础设施的运行进行建模和优化，这些基础设施涉及一个或多个服务商和轨道站，以便为一组地球静止卫星提供多种类型的服务。所提出的方法通过解决在轨服务应用中的独特挑战来扩展最先进的空间物流技术，并将其与滚动地平线决策方法相结合。空间后勤技术能够将在轨服务后勤操作建模为混合整数线性程序，可以有效地找到其最佳解决方案。滚动地平线方法通过考虑地球同步卫星随时间出现的不确定服务需求，能够评估在轨服务基础设施的长期价值。