GTOC-11: Results from the University of Alabama. (January 2023)
- Record Type:
- Journal Article
- Title:
- GTOC-11: Results from the University of Alabama. (January 2023)
- Main Title:
- GTOC-11: Results from the University of Alabama
- Authors:
- Sikes, Jared D.
Pezent, James B.
Sandel, Carrie G.
Rubinsztejn, Ari
Sood, Rohan - Abstract:
- Abstract: In this work, Team ASRL's solution approach for the 11th Global Trajectory Optimization Competition (GTOC-11) is described. This problem tasked the competing teams with constructing a futuristic Dyson Ring utilizing materials acquired from the asteroid belt. In total, 10 motherships would depart from Earth in the year 2121 and visit as many asteroids as possible. After visiting each asteroid, a low-thrust propulsion module would transfer the material down to the desired final Dyson stations. The final approach utilized a deterministic tree search that involved alternating between fixed time of flight Lambert searches and solutions to the full-fidelity optimal control problem. Once a single tour had been constructed, transfer trajectories were computed for each asteroid to as many of the building stations as possible. After computing a pool of thousands of these completed legs, a bin packing algorithm was used to determine the highest scoring combination of 10 solutions. This search process was implemented in Python using the soon-to-be-released trajectory optimization tool, ASSET. Ultimately, the team finished 5th with a score of 5525.38. Highlights: GTOC11 results from the Astrodynamics and Space Research Laboratory (ASRL) team. Selection of asteroid population subsets based on mean deliverable mass to stations. Deterministic beam search algorithm with full-fidelity optimal control solutions. A bin packing algorithm for minimizing variance in final Dyson stationAbstract: In this work, Team ASRL's solution approach for the 11th Global Trajectory Optimization Competition (GTOC-11) is described. This problem tasked the competing teams with constructing a futuristic Dyson Ring utilizing materials acquired from the asteroid belt. In total, 10 motherships would depart from Earth in the year 2121 and visit as many asteroids as possible. After visiting each asteroid, a low-thrust propulsion module would transfer the material down to the desired final Dyson stations. The final approach utilized a deterministic tree search that involved alternating between fixed time of flight Lambert searches and solutions to the full-fidelity optimal control problem. Once a single tour had been constructed, transfer trajectories were computed for each asteroid to as many of the building stations as possible. After computing a pool of thousands of these completed legs, a bin packing algorithm was used to determine the highest scoring combination of 10 solutions. This search process was implemented in Python using the soon-to-be-released trajectory optimization tool, ASSET. Ultimately, the team finished 5th with a score of 5525.38. Highlights: GTOC11 results from the Astrodynamics and Space Research Laboratory (ASRL) team. Selection of asteroid population subsets based on mean deliverable mass to stations. Deterministic beam search algorithm with full-fidelity optimal control solutions. A bin packing algorithm for minimizing variance in final Dyson station mass. … (more)
- Is Part Of:
- Acta astronautica. Volume 202(2023)
- Journal:
- Acta astronautica
- Issue:
- Volume 202(2023)
- Issue Display:
- Volume 202, Issue 2023 (2023)
- Year:
- 2023
- Volume:
- 202
- Issue:
- 2023
- Issue Sort Value:
- 2023-0202-2023-0000
- Page Start:
- 841
- Page End:
- 852
- Publication Date:
- 2023-01
- Subjects:
- GTOC -- Global optimization -- Trajectory optimization
Astronautics -- Periodicals
Outer space -- Exploration -- Periodicals
Astronautics
Periodicals
629.405 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00945765 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.actaastro.2022.06.038 ↗
- Languages:
- English
- ISSNs:
- 0094-5765
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 0596.750000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 24662.xml