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

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2 Citations (Scopus)

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

Fingerprint

low thrust
thrust
optimization
Trajectories
interplanetary trajectories
Space debris
trajectory
Combinatorial optimization
space debris
constellations
Orbits
engines
engine
Engines
perturbation
trajectories
costs
orbits
Costs
cost

Keywords

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

Cite this

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title = "CAMELOT-Computational-Analytical Multi-fidElity Low-thrust Optimisation Toolbox",
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.",
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author = "{Di Carlo}, Marilena and {Romero Martin}, {Juan Manuel} and Massimiliano Vasile",
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