Multi-Tiered Approach to Constellation Maneuver Optimization for Low-Thrust Station-Keeping
Author(s)
Jaunzemis, Andris D.
Roscoe, Christopher W. T.
Holzinger, Marcus J.
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Abstract
This paper presents a multi-tiered approach to constellation-wide optimization
of low-thrust station-keeping maneuvers. Starting from the general problem of
constellation maneuver optimization, a tractable solution is presented for stationkeeping.
The approach utilizes a gradient-descent algorithm to efficiently drive
each satellite toward its nominal orbit, encapsulating this trajectory optimization in
an outer-loop genetic algorithm to optimize within discrete and non-differentiable
constellation-level constraints. The output trajectories are validated and refined in
a high-fidelity environment using NASA's General Mission Analysis Tool. A concrete
example with operational constraints is presented, and limits of the computation driven
assumptions in the tractable solution are assessed.
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Date
2017-02
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