Trajectory optimization algorithms for the earth--moon system.
This package hopes to become a repository for Python tools for optimizing in the Earth--Moon system. Currently it includes only one method, which is a planar patched conic strategy optimized via sequential gradient restoration algorithm. A circular restricted three-body problem solution is also in work.
- Python 3.x
- Numpy
- SciPy
- Matplotlib
Clone this repository:
git clone https://github.com/openlunar/trajectory.git
Currently, this tool cannot be installed as a package. You must run it out of the repository directory. Forward work includes converting it to a package with optimization functions that can be called from other scripts.
Most scripts are in the project root directory. These can be run from a shell, e.g.
./patched_conic.py
If you find a bug or wish to make a contribution, use the project's github issue tracker.
Copyright (c) 2019--2020, Open Lunar Foundation. All rights reserved.
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