Journal article Open Access
GTOC 9: Results from University of Trento (team ELFMAN)
Bertolazzi, Enrico; Biral, Francesco; Ragni, Matteo
The GTOC9 competition requires the design of a sequence of missions to remove debris from the LEO orbit. A mission is a sequence of transfer of the spacecraft from one debris to another. Both missions and transfer must fulfill a set of constraints. The work presents the procedures to develop a solution for the GTOC9 problem (i.e the mission sequence) that does not violate constraints.The solution is obtained through an evolutionary algorithm that combines pre-computed basic missions stored in a database. The main objective of the algorithm is to minimize the overall cost of the solution, in order to maximize the competition
score. The database of pre-computed missions is derived by connecting transfers stored in a database of transfers, through a combinatorial approach that considers the problem constraints. The database of transfer is formulated through
the solution of a constrained minimization problem upon the control action (the magnitude of the overall impulsive velocity changes \(\Delta\)V ). Only a subset of all possible transfers (selected on the basis of acceptable \(\Delta\) V ), enters in the database.
| Name | Size | |
|---|---|---|
|
AF11.2018.79.pdf
md5:00ea1b7b626924df565818f2a5cbfb09 |
244.5 kB | Download |
| All versions | This version | |
|---|---|---|
| Views | 296 | 298 |
| Downloads | 96 | 96 |
| Data volume | 23.5 MB | 23.5 MB |
| Unique views | 266 | 268 |
| Unique downloads | 92 | 92 |
- Publication date:
- January 9, 2018
- DOI:
-
- Published in:
- Acta Futura: pp. 79-90 (11).
- Communities:
- License (for files):
- Creative Commons Attribution 4.0 International