Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5486256 | Advances in Space Research | 2017 | 54 Pages |
Abstract
In order to maximise the number of de-orbited objects with minimum propellant consumption, an optimal sequence of targets is identified using a bio-inspired incremental automatic planning and scheduling discrete optimisation algorithm. The optimisation of the resulting sequence is realised using a direct transcription method based on an asymptotic analytical solution of the perturbed Keplerian motion. The analytical model takes into account the perturbations deriving from the J2 gravitational effect and the atmospheric drag.
Related Topics
Physical Sciences and Engineering
Earth and Planetary Sciences
Space and Planetary Science
Authors
Marilena Di Carlo, Juan Manuel Romero Martin, Massimiliano Vasile,