public class TimeStampedAngularCoordinatesHermiteInterpolator extends AbstractTimeInterpolator<TimeStampedAngularCoordinates>
As this implementation of interpolation is polynomial, it should be used only with small number of interpolation points (about 10-20 points) in order to avoid Runge's phenomenon and numerical problems (including NaN appearing).
HermiteInterpolator
,
TimeStampedAngularCoordinates
AbstractTimeInterpolator.InterpolationData
DEFAULT_EXTRAPOLATION_THRESHOLD_SEC, DEFAULT_INTERPOLATION_POINTS
Constructor and Description |
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TimeStampedAngularCoordinatesHermiteInterpolator()
Constructor with :
Default number of interpolation points of
DEFAULT_INTERPOLATION_POINTS
Default extrapolation threshold value (DEFAULT_EXTRAPOLATION_THRESHOLD_SEC s)
Use of angular and first time derivative for attitude interpolation
As this implementation of interpolation is polynomial, it should be used only with small number of interpolation
points (about 10-20 points) in order to avoid Runge's
phenomenon and numerical problems (including NaN appearing). |
TimeStampedAngularCoordinatesHermiteInterpolator(int interpolationPoints)
/** Constructor with :
Default extrapolation threshold value (
DEFAULT_EXTRAPOLATION_THRESHOLD_SEC s)
Use of angular and first time derivative for attitude interpolation
As this implementation of interpolation is polynomial, it should be used only with small number of interpolation
points (about 10-20 points) in order to avoid Runge's
phenomenon and numerical problems (including NaN appearing). |
TimeStampedAngularCoordinatesHermiteInterpolator(int interpolationPoints,
AngularDerivativesFilter filter)
Constructor with :
Default extrapolation threshold value (
DEFAULT_EXTRAPOLATION_THRESHOLD_SEC s)
As this implementation of interpolation is polynomial, it should be used only with small number of interpolation
points (about 10-20 points) in order to avoid Runge's
phenomenon and numerical problems (including NaN appearing). |
TimeStampedAngularCoordinatesHermiteInterpolator(int interpolationPoints,
double extrapolationThreshold,
AngularDerivativesFilter filter)
Constructor.
|
Modifier and Type | Method and Description |
---|---|
AngularDerivativesFilter |
getFilter()
Get filter for derivatives from the sample to use in interpolation.
|
protected TimeStampedAngularCoordinates |
interpolate(AbstractTimeInterpolator.InterpolationData interpolationData)
Interpolate instance from given interpolation data.
|
addOptionalSubInterpolatorIfDefined, checkInterpolatorCompatibilityWithSampleSize, getCentralDate, getExtrapolationThreshold, getNbInterpolationPoints, getSubInterpolators, getTimeParameter, interpolate, interpolate
public TimeStampedAngularCoordinatesHermiteInterpolator()
DEFAULT_INTERPOLATION_POINTS
DEFAULT_EXTRAPOLATION_THRESHOLD_SEC
s)public TimeStampedAngularCoordinatesHermiteInterpolator(int interpolationPoints)
DEFAULT_EXTRAPOLATION_THRESHOLD_SEC
s)interpolationPoints
- number of interpolation pointspublic TimeStampedAngularCoordinatesHermiteInterpolator(int interpolationPoints, AngularDerivativesFilter filter)
DEFAULT_EXTRAPOLATION_THRESHOLD_SEC
s)interpolationPoints
- number of interpolation pointsfilter
- filter for derivatives from the sample to use in interpolationpublic TimeStampedAngularCoordinatesHermiteInterpolator(int interpolationPoints, double extrapolationThreshold, AngularDerivativesFilter filter)
As this implementation of interpolation is polynomial, it should be used only with small number of interpolation points (about 10-20 points) in order to avoid Runge's phenomenon and numerical problems (including NaN appearing).
interpolationPoints
- number of interpolation pointsextrapolationThreshold
- extrapolation threshold beyond which the propagation will failfilter
- filter for derivatives from the sample to use in interpolationpublic AngularDerivativesFilter getFilter()
protected TimeStampedAngularCoordinates interpolate(AbstractTimeInterpolator.InterpolationData interpolationData)
The interpolated instance is created by polynomial Hermite interpolation on Rodrigues vector ensuring rotation rate remains the exact derivative of rotation.
This method is based on Sergei Tanygin's paper Attitude Interpolation, changing the norm of the vector to match the modified Rodrigues vector as described in Malcolm D. Shuster's paper A Survey of Attitude Representations. This change avoids the singularity at π. There is still a singularity at 2π, which is handled by slightly offsetting all rotations when this singularity is detected. Another change is that the mean linear motion is first removed before interpolation and added back after interpolation. This allows to use interpolation even when the sample covers much more than one turn and even when sample points are separated by more than one turn.
Note that even if first and second time derivatives (rotation rates and acceleration) from sample can be ignored, the interpolated instance always includes interpolated derivatives. This feature can be used explicitly to compute these derivatives when it would be too complex to compute them from an analytical formula: just compute a few sample points from the explicit formula and set the derivatives to zero in these sample points, then use interpolation to add derivatives consistent with the rotations.
interpolate
in class AbstractTimeInterpolator<TimeStampedAngularCoordinates>
interpolationData
- interpolation dataCopyright © 2002-2023 CS GROUP. All rights reserved.