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

Di Carlo, Marilena and Romero Martin, Juan Manuel and Vasile, Massimiliano (2017) CAMELOT-Computational-Analytical Multi-fidElity Low-thrust Optimisation Toolbox. CEAS Space Journal. ISSN 1868-2510 (https://doi.org/10.1007/s12567-017-0172-6)

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Abstract

CAMELOT (Computational-Analytical Multi-fidElity Low-thrust Optimisation Toolbox) 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. In order 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 by 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 deorbiting of space debris, 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.

ORCID iDs

Di Carlo, Marilena ORCID logoORCID: https://orcid.org/0000-0001-5046-3028, Romero Martin, Juan Manuel ORCID logoORCID: https://orcid.org/0000-0002-0456-1468 and Vasile, Massimiliano ORCID logoORCID: https://orcid.org/0000-0001-8302-6465;
CORE (COnnecting REpositories)