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.
Original language | English |
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Title of host publication | 6th International Conference on Astrodynamics Tools and Techniques (ICATT) |
Number of pages | 10 |
Publication status | Published - 17 Mar 2016 |
Event | 6th International Conference on Astrodynamics Tools and Techniques (ICATT 2016) - Darmstadt, Germany Duration: 14 Mar 2016 → 17 Mar 2016 |
Conference
Conference | 6th International Conference on Astrodynamics Tools and Techniques (ICATT 2016) |
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Abbreviated title | ICATT 2016 |
Country | Germany |
City | Darmstadt |
Period | 14/03/16 → 17/03/16 |
Keywords
- multi-target missions
- surrogate models
- multi-fidelity
- combinatorial problems
- low-thrust propulsion