StateTransitionMatrixGenerator.java
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package org.orekit.propagation.numerical;
import org.hipparchus.analysis.differentiation.Gradient;
import org.hipparchus.geometry.euclidean.threed.FieldVector3D;
import org.orekit.attitudes.AttitudeProvider;
import org.orekit.forces.ForceModel;
import org.orekit.propagation.FieldSpacecraftState;
import java.util.List;
/** Generator for State Transition Matrix.
* The state is made up of the Cartesian position and velocity vectors.
* @author Luc Maisonobe
* @author Melina Vanel
* @since 11.1
*/
class StateTransitionMatrixGenerator extends AbstractStateTransitionMatrixGenerator {
/**
* State dimension.
*/
public static final int STATE_DIMENSION = 2 * SPACE_DIMENSION;
/**
* Simple constructor.
*
* @param stmName name of the Cartesian STM additional state
* @param forceModels force models used in propagation
* @param attitudeProvider attitude provider used in propagation
*/
StateTransitionMatrixGenerator(final String stmName, final List<ForceModel> forceModels,
final AttitudeProvider attitudeProvider) {
super(stmName, forceModels, attitudeProvider, STATE_DIMENSION);
}
/** {@inheritDoc} */
@Override
protected void multiplyMatrix(final double[] factor, final double[] x, final double[] y, final int columns) {
staticMultiplyMatrix(factor, x, y, columns);
}
/** Compute evolution matrix product.
* <p>
* This method computes \(Y = F \times X\) where the factor matrix is:
* \[F = \begin{matrix}
* 0 & 0 & 0 & 1 & 0 & 0 \\
* 0 & 0 & 0 & 0 & 1 & 0 \\
* 0 & 0 & 0 & 0 & 0 & 1 \\
* \sum \frac{da_x}{dp_x} & \sum\frac{da_x}{dp_y} & \sum\frac{da_x}{dp_z} & \sum\frac{da_x}{dv_x} & \sum\frac{da_x}{dv_y} & \sum\frac{da_x}{dv_z}\\
* \sum \frac{da_y}{dp_x} & \sum\frac{da_y}{dp_y} & \sum\frac{da_y}{dp_z} & \sum\frac{da_y}{dv_x} & \sum\frac{da_y}{dv_y} & \sum\frac{da_y}{dv_z}\\
* \sum \frac{da_z}{dp_x} & \sum\frac{da_z}{dp_y} & \sum\frac{da_z}{dp_z} & \sum\frac{da_z}{dv_x} & \sum\frac{da_z}{dv_y} & \sum\frac{da_z}{dv_z}
* \end{matrix}\]
* </p>
* @param factor factor matrix
* @param x right factor of the multiplication, as a flatten array in row major order
* @param y placeholder where to put the result, as a flatten array in row major order
* @param columns number of columns of both x and y (so their dimensions are 6 x columns)
*/
static void staticMultiplyMatrix(final double[] factor, final double[] x, final double[] y, final int columns) {
final int n = SPACE_DIMENSION * columns;
// handle first three rows by a simple copy
System.arraycopy(x, n, y, 0, n);
// regular multiplication for the last three rows
for (int j = 0; j < columns; ++j) {
y[n + j ] = factor[ 0] * x[j ] + factor[ 1] * x[j + columns] + factor[ 2] * x[j + 2 * columns] +
factor[ 3] * x[j + 3 * columns] + factor[ 4] * x[j + 4 * columns] + factor[ 5] * x[j + 5 * columns];
y[n + j + columns] = factor[ 6] * x[j ] + factor[ 7] * x[j + columns] + factor[ 8] * x[j + 2 * columns] +
factor[ 9] * x[j + 3 * columns] + factor[10] * x[j + 4 * columns] + factor[11] * x[j + 5 * columns];
y[n + j + 2 * columns] = factor[12] * x[j ] + factor[13] * x[j + columns] + factor[14] * x[j + 2 * columns] +
factor[15] * x[j + 3 * columns] + factor[16] * x[j + 4 * columns] + factor[17] * x[j + 5 * columns];
}
}
/** {@inheritDoc} */
@Override
Gradient[] computeRatesPartialsAndUpdateFactor(final ForceModel forceModel,
final FieldSpacecraftState<Gradient> fieldState,
final Gradient[] parameters, final double[] factor) {
final FieldVector3D<Gradient> acceleration = forceModel.acceleration(fieldState, parameters);
final double[] gradX = acceleration.getX().getGradient();
final double[] gradY = acceleration.getY().getGradient();
final double[] gradZ = acceleration.getZ().getGradient();
// lower left part of the factor matrix
factor[ 0] += gradX[0];
factor[ 1] += gradX[1];
factor[ 2] += gradX[2];
factor[ 6] += gradY[0];
factor[ 7] += gradY[1];
factor[ 8] += gradY[2];
factor[12] += gradZ[0];
factor[13] += gradZ[1];
factor[14] += gradZ[2];
if (!forceModel.dependsOnPositionOnly()) {
// lower right part of the factor matrix
factor[ 3] += gradX[3];
factor[ 4] += gradX[4];
factor[ 5] += gradX[5];
factor[ 9] += gradY[3];
factor[10] += gradY[4];
factor[11] += gradY[5];
factor[15] += gradZ[3];
factor[16] += gradZ[4];
factor[17] += gradZ[5];
}
return acceleration.toArray();
}
}