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

Marilena Di Carlo, Juan Manuel Romero Martin, Massimiliano Vasile

Research output: Contribution to journalArticle

4 Citations (Scopus)
19 Downloads (Pure)

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.
Original languageEnglish
Number of pages12
JournalCEAS Space Journal
Early online date22 Sep 2017
DOIs
Publication statusE-pub ahead of print - 22 Sep 2017

Keywords

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

Fingerprint Dive into the research topics of 'CAMELOT-Computational-Analytical Multi-fidElity Low-thrust Optimisation Toolbox'. Together they form a unique fingerprint.

Cite this