Goal: Continue to develop the attitude planning pipeline in Python. The goal is to have a system that goes from imaging path requirements to an optimized path we can uplink to FINCH.

Skills: Python, STK, Data Analysis, Web Dev, Javascript

All of the work for the attitude pipeline project is stored here:

GitHub - utat-ss/adcs-attitude-planning

Documentation is here:

attitude_planning docs

Ideas for things to work on / how the project will work:

• Use custom objects (python classes) for imaging passes, instances in time, etc.
  • Seperate object type that defines requirements?
    • Pass this into method of an imaging pass to determine its validity
• Figure out how to modify the attitude of the satellite in STK as desired
  • Can do this automatically?
  • Is it possible to transform a requirement into attitude instructions that satisfy the requirement
• Set-up visualization of satellite like in the presentation but in real-time
  • Probably a thing to do later on
• Get collection of data points regarding things to optimize from imaging pass:
  • Ex. Slew rate, Max skew, imaging time etc.
  • Already done from presentation project, just have to merge into new structure if we go with the class-based idea