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.

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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.

    Author(s):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
    Item type:Book Section
    ID code:59513
    Keywords:multi-target missions, surrogate models, multi-fidelity, combinatorial problems, low-thrust propulsion, Motor vehicles. Aeronautics. Astronautics, Aerospace Engineering
    Subjects:Technology > Motor vehicles. Aeronautics. Astronautics
    Department:Faculty of Engineering > Mechanical and Aerospace Engineering
    Technology and Innovation Centre > Advanced Engineering and Manufacturing
    Depositing user: Pure Administrator
    Date deposited:20 Jan 2017 12:01
    Last modified:18 Sep 2019 00:21
    Related URLs:
    URI:https://strathprints.strath.ac.uk/id/eprint/59513
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