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. (

[thumbnail of DiCarlo-etal-ICATT2016-CAMELOT-computational-analytical-multi-fidelity-low-thrust-optimisation-toolbox]
Text. Filename: DiCarlo_etal_ICATT2016_CAMELOT_computational_analytical_multi_fidelity_low_thrust_optimisation_toolbox.pdf
Accepted Author Manuscript

Download (1MB)| Preview


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.