On-Orbit Servicing Logistics Framework Generalized to the Multi-Orbit Case
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Abstract
This paper proposes a multi-orbit on-orbit servicing logistics optimization frame-work capable of planning the operations of sustainable servicing infrastructures with client satellites distributed across different orbits of various shapes. The pro-posed framework generalizes the state-of-the-art network-based on-orbit servic-ing logistics optimization method to the multi-orbit case by tracking the relative motion of the network nodes as part of the process of computing the costs of the network arcs. The new framework keeps track of the simulation time in order to propagate the orbital elements of the network nodes over time. The orbital ele-ments are then inputted into high-thrust and low-thrust trajectory optimization routines interfaced with the framework to accurately compute the cost of trans-portation of the servicers. Finally, a mixed-integer linear program is formulated to model the operations of the servicing infrastructure over the network and over time, whereas the rolling horizon procedure is leveraged to account for the uncer-tainties in service demand. Two case studies demonstrate the application of the generalized framework to the short-term operational scheduling and long-term strategic planning of on-orbit servicing infrastructures.
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2021-08
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