Fastest interpolation method for attitude quaternions?

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SUMMARY

The discussion focuses on the fastest interpolation methods for attitude quaternions, specifically using least-squares fitting with n-degree polynomials (n ranging from 3 to 7) to achieve continuous quaternion derivatives. The error estimation method involves resampling quaternion derivatives and calculating angular differences, yielding an error magnitude of approximately 10-5 radians. The user seeks to explore alternative interpolation methods such as Spherical Linear Interpolation, Spherical Cubic Interpolation, and Spline Interpolation to enhance precision and minimize computation time in spacecraft rotation calculations.

PREREQUISITES
  • Understanding of quaternion mathematics and their application in 3D rotations
  • Familiarity with least-squares fitting techniques
  • Knowledge of interpolation methods, particularly in the context of quaternions
  • Experience with spacecraft attitude control and frame transformations
NEXT STEPS
  • Research Spherical Linear Interpolation (SLERP) for quaternion interpolation
  • Investigate Spherical Cubic Interpolation (SCERP) and its advantages over polynomial methods
  • Explore Spline Interpolation techniques specifically for quaternion data
  • Learn about error estimation methods in quaternion interpolation to improve accuracy
USEFUL FOR

Engineers and researchers in aerospace, robotics, and computer graphics who are involved in quaternion-based rotation calculations and are seeking to optimize interpolation methods for improved performance and accuracy.

vicjun
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I hesitated between posting this in the Mathematics forum or here, but since it's fairly applied, I chose this place. Sorry if it should've gone somewhere else.

I posted another thread earlier (https://www.physicsforums.com/showthread.php?t=599737), about having trouble finding the quaternion derivative from the quaternion and the angular velocity. That problem is now resolved. I mentioned that I interpolate the quaternion derivatives to find a continuous function.

The interpolation method used is least-squares fitting using a n-degree polynomial (n varies between 3 and 7, this is determined automatically), resulting in four n-degree polynomials, one for each quaternion component. This works fine.

I estimated the error in the interpolation by resampling (using the polynomials above) the quaternion component derivatives at the same dates used for the interpolation, and then calculating the angle between a quaternion derivative before and after interpolation. It is in the order of 10-5 radians. Is this a correct method of estimating the error or is there a better way?

I would also like the explore other interpolation methods, that are perhaps more suited for quaternions. The point of all this is to calculate the rotation of a spacecraft (i.e., a body-fixed frame) relative a fixed frame (in this case the local orbital frame). I found a document (http://www.geometrictools.com/Documentation/Quaternions.pdf) detailing three other methods: Spherical Linear Interpolation, Spherical Cubic Interpolation and Spline Interpolation. Are these better for interpolating quaternions? If yes, then why?

The goals of trying out other interpolation methods are mainly:

1. Precision (minimizing the interpolation error)
2. Minimizing computation time


Thanks in advance!

vicjun
 
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It is not quite clear to me what you mean by interpolating quaternions. The algorithms you've found are quite interesting, but I'm afraid we need a better described problem statement and then individual examinations of the different methods. I doubt that there is already a ready-made answer. Sometimes there is simply work to do.
 

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