GTOC8: Results and Methods of ESA Advanced Concepts Team and JAXA-ISAS
February 02, 2016 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Dario Izzo, Daniel Hennes, Marcus MΓ€rtens, Ingmar Getzner, Krzysztof Nowak, Anna Heffernan, Stefano Campagnola, Chit Hong Yam, Naoya Ozaki, Yoshihide Sugimoto
arXiv ID
1602.00849
Category
physics.space-ph
Cross-listed
astro-ph.IM,
cs.DS,
eess.SY
Citations
4
Venue
arXiv.org
Last Checked
3 months ago
Abstract
We consider the interplanetary trajectory design problem posed by the 8th edition of the Global Trajectory Optimization Competition and present the end-to-end strategy developed by the team ACT-ISAS (a collaboration between the European Space Agency's Advanced Concepts Team and JAXA's Institute of Space and Astronautical Science). The resulting interplanetary trajectory won 1st place in the competition, achieving a final mission value of $J=146.33$ [Mkm]. Several new algorithms were developed in this context but have an interest that go beyond the particular problem considered, thus, they are discussed in some detail. These include the Moon-targeting technique, allowing one to target a Moon encounter from a low Earth orbit; the 1-$k$ and 2-$k$ fly-by targeting techniques, enabling one to design resonant fly-bys while ensuring a targeted future formation plane% is acquired at some point after the manoeuvre ; the distributed low-thrust targeting technique, admitting one to control the spacecraft formation plane at 1,000,000 [km]; and the low-thrust optimization technique, permitting one to enforce the formation plane's orientations as path constraints.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
π Similar Papers
In the same crypt β physics.space-ph
R.I.P.
π»
Ghosted
R.I.P.
π»
Ghosted
End to End Satellite Servicing and Space Debris Management
R.I.P.
π»
Ghosted
Kamodo: Simplifying Model Data Access and Utilization
R.I.P.
π»
Ghosted
Self-supervised Machine Learning Based Approach to Orbit Modelling Applied to Space Traffic Management
R.I.P.
π»
Ghosted
Magnetic Field Data Calibration with Transformer Model Using Physical Constraints: A Scalable Method for Satellite Missions, Illustrated by Tianwen-1
R.I.P.
π»
Ghosted
High-Cadence Thermospheric Density Estimation enabled by Machine Learning on Solar Imagery
Died the same way β π» Ghosted
R.I.P.
π»
Ghosted
Federated Learning: Strategies for Improving Communication Efficiency
R.I.P.
π»
Ghosted
In-Datacenter Performance Analysis of a Tensor Processing Unit
R.I.P.
π»
Ghosted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
R.I.P.
π»
Ghosted