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

Marilena Di Carlo, Juan Manuel Romero Martin, Massimiliano Vasile

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

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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.
Original languageEnglish
Title of host publication6th International Conference on Astrodynamics Tools and Techniques (ICATT)
Number of pages10
Publication statusPublished - 17 Mar 2016
Event6th International Conference on Astrodynamics Tools and Techniques (ICATT 2016) - Darmstadt, Germany
Duration: 14 Mar 201617 Mar 2016


Conference6th International Conference on Astrodynamics Tools and Techniques (ICATT 2016)
Abbreviated titleICATT 2016


  • multi-target missions
  • surrogate models
  • multi-fidelity
  • combinatorial problems
  • low-thrust propulsion


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