Fast approximators for optimal low-thrust hops between main belt asteroids
Daniel Hennes, Dario Izzo, Damon Landau
In Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, (SSCI-2016), 06.12.-09.12.2016, Athen, IEEE, Dec/2016.
We consider the problem of optimally transferring
a spacecraft from a starting to a target asteroid. We introduce
novel approximations for important quantities characterizing
the optimal transfer in case of short transfer times (asteroid
hops). We propose and study in detail approximations for the
phasing value ', for the maximum initial mass m* and for
the arrival mass mf . The new approximations require orders
of magnitude less computational effort with respect to state-ofthe-
art algorithms able to compute their ground-truth value. The
accuracy of the introduced approximations is also found to be
orders of magnitude superior with respect to other, commonly
used, approximations based, for example, on Lambert models.
Our results are obtained modelling the physics of the problem as
well as employing computational intelligence techniques including
the multi-objective evolutionary algorithm by decomposition
framework, the hypervolume indicator and state of the art
machine learning regressors.
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