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 language | English |
---|---|
Number of pages | 12 |
Journal | CEAS Space Journal |
Early online date | 22 Sept 2017 |
DOIs | |
Publication status | E-pub ahead of print - 22 Sept 2017 |
Keywords
- multi-target missions
- low-thrust propulsion
- combinatorial problems
- multi-fidelity
- surrogate models