Comments (3)
The current version of OrbitDeterminator does not deal with orbital maneuvers, in fact in a way, it tries to ignore it. Let me explain why I say so.
The input for the tool is a set of Cartesian/spherical coordinates which need not be contiguous in time but you may expect it to be chronological. These are observational inputs, so they have various errors. Hence we apply curve fitting on the data before orbit determination. Think of it as local regression. Here is the catch: to detect orbital maneuvers, we need to find sudden changes in the slope of the curve, or abrupt changes in curvature. In other words, find out the points where the curve is non differentiable. But the curve fitting regression algorithm, by definition, tries to make the input data into an everywhere continuous and differentiable curve, hence losing the orbital maneuver information (maybe not completely). What you end up with, is a set of Keplerian elements that is, without the loss of generality, somewhat an average of the ellipses before and after the maneuver. This last statement is a mathematical over approximation the actual result will depend on how the Kalman filter behaves. Things become more complex if multiple maneuvers are present in the input data. This will be a nice topic to research on.
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As @krishna-birla mentioned we don't have a feature to measure force. If you want to measure the force, what you can do is calculate the acceleration (force per unit mass) with 2 body approximation i.e only earth and satellite and use gravitational acceleration at that point on the ellipse and multiply this acceleration with the mass of the satellite (If known). In short what you'll need to calculate the force or acceleration is:
- Point where acceleration is needed
- Mass of satellite to convert acceleration to force
You can define a function for the same in main.py of your copy of the code.
from orbitdeterminator.
Thanks for your explantions, i take more time to read the code and i understand that you assume only gravitational force from earth (as a consequence the Ellipsoid fitting).
I will consider you proposal , thanks again.
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Related Issues (20)
- pytest fail after installing orbitdeterminator on MacPro (2019) HOT 2
- Wrong results when running main.py HOT 7
- Where is check_sgp4 used? HOT 2
- the question about the format of the data
- the error when I was using certain modules like the help pdf(pages_20) HOT 3
- Code Unit Testing Philosophy HOT 8
- Doppler: CleanUp HOT 3
- conda install pykep==2.1 raises error HOT 2
- test_old and test_utils fails while test HOT 3
- pykep package not getting installed HOT 2
- No module named 'lamberts_method' HOT 4
- input file format auto detect HOT 5
- Replace PyEphem with SkyField functions HOT 3
- one central place for orbital calculations HOT 3
- Setting standard gravitational parameter according to the central body and find a place for the constants HOT 7
- load in mixed input formats (json, iod, uk, etc...)
- Installation procedure on a MacPro (desktop) running Mac OS X 11.5.2 (Big Sur)
- Faster State Vector processing (SPG4/Skyfield vs ideal Keppler vs...) HOT 1
- IndexError : "list index out of range" ,coming on running "triple_moving_average.py" code HOT 1
- Are the right values in the variables?
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