CAMELOT - computational-analytical multi-fidelity low-thrust optimisation toolbox

Di Carlo, Marilena and Romero Martin, Juan Manuel and Vasile, Massimiliano; (2016) CAMELOT - computational-analytical multi-fidelity low-thrust optimisation toolbox. In: 6th International Conference on Astrodynamics Tools and Techniques (ICATT). ESA, DEU. (https://indico.esa.int/indico/event/111/session/23...)

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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 pptimisation engines included in the toolbox, a single objective global optimiser and a combinatorial optimisation algorithm. CAMELOT has been applied to a variety of applications: 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 space mission design problems solved using the toolbox are described.

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)