All Projects → sammmlow → ORBITM

sammmlow / ORBITM

Licence: MIT License
🌏 📡 🌏 📡 ORBITM - Orbit maintenance, propulsion sizing, and life-time estimation of space objects!

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https://raw.githubusercontent.com/sammmlow/ORBITM/master/docs/_static/orbitm_logo.png

Project:Orbit.M
Github:https://github.com/sammmlow/ORBITM
Documents:https://orbitm.readthedocs.io/en/latest/
Version:1.1 (Stable)

docs license

Author:Samuel Y. W. Low

linkedin orcid

Welcome to Orbit.M!

Orbit.M is an open-source and free orbit maintenance simulator and propulsion sizing tool, recommended for use with near-circular low Earth orbits up to 1,000 km altitude, on Python.

It stands for the Orbit Maintenance and Propulsion Sizing Tool, and it comes with its own built-in orbit decay model and maintenance simulator. Alternatively, Orbit.M can also be used to interface with and automate orbit maintenance simulations using AGI's Systems Tool Kit (STK) as an alternative simulator, through the STK Integration Object Model libraries.

A valid license for STK 10 and 11, with Astrogator and Integration modules, is needed for interfacing with STK. However, you do not require an STK license for interfacing with the native orbit maintenance simulation mode (or Sam's Mode).

The objective of Orbit.M is to allow for a quick sizing of low Earth orbit (LEO) mission lifetimes, sized against propulsion units of the user's choosing. The user can enter the parameters of their intended mission, the orbital elements, the spacecraft characteristics, and Orbit.M would compute the ΔV necessary to counteract drag forces throughout the mission, while sizing it against your choices of thrusters (in the "thrusters.txt" file).

First Steps in Using Orbit.M

Check that you have these Python libraries: TKinter, NumPy, Matplotlib. If you are a licensed STK Astrogator user, you may need the comtypes library to interface with STK. If you do not have Python, I recommend using the Anaconda installer with Spyder as your IDE, as it comes with all the installed packages by default.

You can launch Orbit.M through the orbitm.py in the main directory (equivalent to the directory you see on the master branch on Orbit.M's github page). You should see a GUI, like below, pop up:

https://raw.githubusercontent.com/sammmlow/ORBITM/master/docs/_images/orbmgui_blank.jpg

You can fill in your spacecraft and orbit parameters through the GUI. The plotter will also plot thrusters of your choice as specified in the "thrusters.txt" file on the main Orbit.M directory.

Now, you can hit Run ORBITM, and it will output a ΔV report as a text file, and plot the altitude profile and the locus of thruster requirements that satisfy your mission (in terms of the required fuel mass against specific impulse or ISP). Example plots are shown below, with plots in blue ran under the fast algorithm (Sam's), and plots in orange ran under the more precise orbit model in STK. All manoeuvres are assumed to be impulsive, and triggered only when the nominal altitude crosses the orbit maintenance tolerance band.

https://raw.githubusercontent.com/sammmlow/ORBITM/master/docs/_images/orbmgui_full.jpg

The above results were run for a 170kg satellite at 550km circular orbit. At this profile, the orbit maintenance propulsion profile of both Orbit.M's native decay simulator, and that of a full propagation in STK Astrogator, show similar results, with a Delta-V budget of ~3m/s (native) and ~4m/s (STK10).

For full documentation, please refer to the Orbit.M Read-The-Docs.

Original Sharing on ORBITM v1.0

ORBITM v1.0 was released during the Open Source Cube Satellite Workshop 2020. The original presentation slides introducing ORBITM v1.0 link is here.

Final Notes

This project is free, and open-source. If you would like to contribute to this project, add in new features, or enhance existing atmospheric models etc, please feel free to fork this repository and make any pull requests if you'd like to collaborate with me. I am also hoping to interface Orbit.M's use with other astrodynamics softwares like GMAT, and improve on existing features such as improving the accuracy of the atmospheric density models etc.

If you had felt that OrbitM was useful in your research, please do give the due credit and cite my paper or this project.

Low, S. Y. W., &; Chia, Y. X. (2018). “Assessment of Orbit Maintenance Strategies for Small Satellites”, 32nd Annual AIAA/USU Conference on Small Satellites, Logan, Utah, Utah State University, USA.

Contact

If you have any other queries feel free to reach out to me at:

[email protected]

linkedin orcid

Last Modified on 21-Sep-2021

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