Speaker
Description
The benefits of In-Orbit Servicing are significantly enhanced by attending to multiple client satellites in a single mission, leading to increased cost-effectiveness and operational efficiency. By enabling a single servicer spacecraft to visit multiple clients during each mission, operational cadence is improved, and costs are distributed across multiple tasks.
This presentation demonstrates the optimization of servicing sequences and respective transfer trajectories for Multiclient In-Orbit Servicing. A toolchain has been developed to determine the optimal servicing-order with minimal deltaV-costs and the client-to-client transfers with minimal deltaV-costs, while respecting specified time constraints. The focus is on refueling services in (inclined) Geosynchronous Orbits (GSO).
The toolchain is designed for preliminary mission design and analysis, allowing rapid estimates of deltaV, fuel, time, and other key parameters, to service a specified number of client satellites within a defined timeframe. It accounts for time-variant client positions and allows for the use of either chemical or electric propulsion systems.
The presentation will also feature select findings identified by running the toolchain for various sample client sets.
This work further enhances the efficiency of multiclient servicing missions, improving the sustainability and profitability of IOS operations while mitigating space debris proliferation.
