CAMELOT: Computational-Analytical Multi-fidElity Low-thrust Optimisation Toolbox

CAMELOT: Computational-Analytical Multi-fidElity Low-thrust Optimisation Toolbox Computational-Analytical Multi-fidElity Low-thrust Optimisation Toolbox (CAMELOT) is a toolbox for the fast preliminary design and optimisation of low-thrust trajectories. It solves highly complex combinatorial problems to plan multi-target missions characterised by long spirals including different perturbations. To do so, CAMELOT implements a novel multi-fidelity approach combining analytical surrogate modelling and accurate computational estimations of the mission cost. Decisions are then made using two optimisation engines included in the toolbox, a single-objective global optimiser, and a combinatorial optimisation algorithm. CAMELOT has been applied to a variety of case studies: from the design of interplanetary trajectories to the optimal de-orbiting of space debris and from the deployment of constellations to on-orbit servicing. In this paper, the main elements of CAMELOT are described and two examples, solved using the toolbox, are presented. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png CEAS Space Journal Springer Journals

CAMELOT: Computational-Analytical Multi-fidElity Low-thrust Optimisation Toolbox

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Publisher
Springer Journals
Copyright
Copyright © 2017 by The Author(s)
Subject
Engineering; Aerospace Technology and Astronautics
ISSN
1868-2502
eISSN
1868-2510
D.O.I.
10.1007/s12567-017-0172-6
Publisher site
See Article on Publisher Site

Abstract

Computational-Analytical Multi-fidElity Low-thrust Optimisation Toolbox (CAMELOT) is a toolbox for the fast preliminary design and optimisation of low-thrust trajectories. It solves highly complex combinatorial problems to plan multi-target missions characterised by long spirals including different perturbations. To do so, CAMELOT implements a novel multi-fidelity approach combining analytical surrogate modelling and accurate computational estimations of the mission cost. Decisions are then made using two optimisation engines included in the toolbox, a single-objective global optimiser, and a combinatorial optimisation algorithm. CAMELOT has been applied to a variety of case studies: from the design of interplanetary trajectories to the optimal de-orbiting of space debris and from the deployment of constellations to on-orbit servicing. In this paper, the main elements of CAMELOT are described and two examples, solved using the toolbox, are presented.

Journal

CEAS Space JournalSpringer Journals

Published: Sep 22, 2017

References

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