BrouwerLyddanePropagatorBuilder.java
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package org.orekit.propagation.conversion;
import java.util.List;
import org.hipparchus.util.FastMath;
import org.orekit.attitudes.AttitudeProvider;
import org.orekit.attitudes.InertialProvider;
import org.orekit.estimation.leastsquares.AbstractBatchLSModel;
import org.orekit.estimation.leastsquares.BatchLSModel;
import org.orekit.estimation.leastsquares.ModelObserver;
import org.orekit.estimation.measurements.ObservedMeasurement;
import org.orekit.estimation.sequential.AbstractKalmanModel;
import org.orekit.estimation.sequential.CovarianceMatrixProvider;
import org.orekit.estimation.sequential.KalmanModel;
import org.orekit.forces.gravity.potential.GravityFieldFactory;
import org.orekit.forces.gravity.potential.TideSystem;
import org.orekit.forces.gravity.potential.UnnormalizedSphericalHarmonicsProvider;
import org.orekit.orbits.Orbit;
import org.orekit.orbits.OrbitType;
import org.orekit.orbits.PositionAngle;
import org.orekit.propagation.analytical.BrouwerLyddanePropagator;
import org.orekit.propagation.analytical.tle.TLE;
import org.orekit.utils.ParameterDriver;
import org.orekit.utils.ParameterDriversList;
/** Builder for Brouwer-Lyddane propagator.
* <p>
* By default, Brouwer-Lyddane model considers only the perturbations due to zonal harmonics.
* However, for low Earth orbits, the magnitude of the perturbative acceleration due to
* atmospheric drag can be significant. Warren Phipps' 1992 thesis considered the atmospheric
* drag by time derivatives of the <i>mean</i> mean anomaly using the catch-all coefficient M2.
*
* Usually, M2 is adjusted during an orbit determination process and it represents the
* combination of all unmodeled secular along-track effects (i.e. not just the atmospheric drag).
* The behavior of M2 is closed to the {@link TLE#getBStar()} parameter for the TLE.
*
* If the value of M2 is equal to {@link BrouwerLyddanePropagator#M2 0.0}, the along-track
* secular effects are not considered in the dynamical model. Typical values for M2 are not known.
* It depends on the orbit type. However, the value of M2 must be very small (e.g. between 1.0e-14 and 1.0e-15).
* The unit of M2 is rad/s².
* <p>
* To estimate the M2 parameter, it is necessary to call the {@link #getPropagationParametersDrivers()} method
* as follow:
* <pre>
* for (ParameterDriver driver : builder.getPropagationParametersDrivers().getDrivers()) {
* if (BrouwerLyddanePropagator.M2_NAME.equals(driver.getName())) {
* driver.setSelected(true);
* }
* }
* </pre>
* @author Melina Vanel
* @author Bryan Cazabonne
* @since 11.1
*/
public class BrouwerLyddanePropagatorBuilder extends AbstractPropagatorBuilder implements OrbitDeterminationPropagatorBuilder {
/** Parameters scaling factor.
* <p>
* We use a power of 2 to avoid numeric noise introduction
* in the multiplications/divisions sequences.
* </p>
*/
private static final double SCALE = FastMath.scalb(1.0, -32);
/** Provider for un-normalized coefficients. */
private final UnnormalizedSphericalHarmonicsProvider provider;
/** Build a new instance.
* <p>
* The template orbit is used as a model to {@link
* #createInitialOrbit() create initial orbit}. It defines the
* inertial frame, the central attraction coefficient, the orbit type, and is also
* used together with the {@code positionScale} to convert from the {@link
* org.orekit.utils.ParameterDriver#setNormalizedValue(double) normalized} parameters used by the
* callers of this builder to the real orbital parameters.
* </p>
*
* @param templateOrbit reference orbit from which real orbits will be built
* (note that the mu from this orbit will be overridden with the mu from the
* {@code provider})
* @param provider for un-normalized zonal coefficients
* @param positionAngle position angle type to use
* @param positionScale scaling factor used for orbital parameters normalization
* (typically set to the expected standard deviation of the position)
* @param M2 value of empirical drag coefficient in rad/s².
* If equal to {@link BrouwerLyddanePropagator#M2} drag is not computed
* @see #BrouwerLyddanePropagatorBuilder(Orbit,
* UnnormalizedSphericalHarmonicsProvider, PositionAngle, double, AttitudeProvider, double)
*/
public BrouwerLyddanePropagatorBuilder(final Orbit templateOrbit,
final UnnormalizedSphericalHarmonicsProvider provider,
final PositionAngle positionAngle,
final double positionScale,
final double M2) {
this(templateOrbit, provider, positionAngle, positionScale, InertialProvider.of(templateOrbit.getFrame()), M2);
}
/** Build a new instance.
* <p>
* The template orbit is used as a model to {@link
* #createInitialOrbit() create initial orbit}. It defines the
* inertial frame, the central attraction coefficient, the orbit type, and is also
* used together with the {@code positionScale} to convert from the {@link
* org.orekit.utils.ParameterDriver#setNormalizedValue(double) normalized} parameters used by the
* callers of this builder to the real orbital parameters.
* </p>
*
* @param templateOrbit reference orbit from which real orbits will be built
* (note that the mu from this orbit will be overridden with the mu from the
* {@code provider})
* @param referenceRadius reference radius of the Earth for the potential model (m)
* @param mu central attraction coefficient (m³/s²)
* @param tideSystem tide system
* @param c20 un-normalized zonal coefficient (about -1.08e-3 for Earth)
* @param c30 un-normalized zonal coefficient (about +2.53e-6 for Earth)
* @param c40 un-normalized zonal coefficient (about +1.62e-6 for Earth)
* @param c50 un-normalized zonal coefficient (about +2.28e-7 for Earth)
* @param orbitType orbit type to use
* @param positionAngle position angle type to use
* @param positionScale scaling factor used for orbital parameters normalization
* (typically set to the expected standard deviation of the position)
* @param M2 value of empirical drag coefficient in rad/s².
* If equal to {@link BrouwerLyddanePropagator#M2} drag is not computed
* @see #BrouwerLyddanePropagatorBuilder(Orbit,
* UnnormalizedSphericalHarmonicsProvider, PositionAngle, double, AttitudeProvider, double)
*/
public BrouwerLyddanePropagatorBuilder(final Orbit templateOrbit,
final double referenceRadius,
final double mu,
final TideSystem tideSystem,
final double c20,
final double c30,
final double c40,
final double c50,
final OrbitType orbitType,
final PositionAngle positionAngle,
final double positionScale,
final double M2) {
this(templateOrbit,
GravityFieldFactory.getUnnormalizedProvider(referenceRadius, mu, tideSystem,
new double[][] {
{
0
}, {
0
}, {
c20
}, {
c30
}, {
c40
}, {
c50
}
}, new double[][] {
{
0
}, {
0
}, {
0
}, {
0
}, {
0
}, {
0
}
}),
positionAngle, positionScale, M2);
}
/** Build a new instance.
* <p>
* The template orbit is used as a model to {@link
* #createInitialOrbit() create initial orbit}. It defines the
* inertial frame, the central attraction coefficient, the orbit type, and is also
* used together with the {@code positionScale} to convert from the {@link
* org.orekit.utils.ParameterDriver#setNormalizedValue(double) normalized} parameters used by the
* callers of this builder to the real orbital parameters.
* </p>
* @param templateOrbit reference orbit from which real orbits will be built
* (note that the mu from this orbit will be overridden with the mu from the
* {@code provider})
* @param provider for un-normalized zonal coefficients
* @param positionAngle position angle type to use
* @param positionScale scaling factor used for orbital parameters normalization
* (typically set to the expected standard deviation of the position)
* @param M2 value of empirical drag coefficient in rad/s².
* If equal to {@link BrouwerLyddanePropagator#M2} drag is not computed
* @param attitudeProvider attitude law to use
*/
public BrouwerLyddanePropagatorBuilder(final Orbit templateOrbit,
final UnnormalizedSphericalHarmonicsProvider provider,
final PositionAngle positionAngle,
final double positionScale,
final AttitudeProvider attitudeProvider,
final double M2) {
super(overrideMu(templateOrbit, provider, positionAngle), positionAngle, positionScale, true, attitudeProvider);
this.provider = provider;
// initialize M2 driver
final ParameterDriver M2Driver = new ParameterDriver(BrouwerLyddanePropagator.M2_NAME, M2, SCALE,
Double.NEGATIVE_INFINITY,
Double.POSITIVE_INFINITY);
addSupportedParameter(M2Driver);
}
/** Override central attraction coefficient.
* @param templateOrbit template orbit
* @param provider gravity field provider
* @param positionAngle position angle type to use
* @return orbit with overridden central attraction coefficient
*/
private static Orbit overrideMu(final Orbit templateOrbit,
final UnnormalizedSphericalHarmonicsProvider provider,
final PositionAngle positionAngle) {
final double[] parameters = new double[6];
final double[] parametersDot = templateOrbit.hasDerivatives() ? new double[6] : null;
templateOrbit.getType().mapOrbitToArray(templateOrbit, positionAngle, parameters, parametersDot);
return templateOrbit.getType().mapArrayToOrbit(parameters, parametersDot, positionAngle,
templateOrbit.getDate(),
provider.getMu(),
templateOrbit.getFrame());
}
/** {@inheritDoc} */
public BrouwerLyddanePropagator buildPropagator(final double[] normalizedParameters) {
setParameters(normalizedParameters);
// Update M2 value and selection
double newM2 = 0.0;
boolean isSelected = false;
for (final ParameterDriver driver : getPropagationParametersDrivers().getDrivers()) {
if (BrouwerLyddanePropagator.M2_NAME.equals(driver.getName())) {
newM2 = driver.getValue();
isSelected = driver.isSelected();
}
}
// Initialize propagator
final BrouwerLyddanePropagator propagator = new BrouwerLyddanePropagator(createInitialOrbit(), getAttitudeProvider(), provider, newM2);
propagator.getParametersDrivers().get(0).setSelected(isSelected);
// Return
return propagator;
}
/** {@inheritDoc} */
@Override
public AbstractBatchLSModel buildLSModel(final OrbitDeterminationPropagatorBuilder[] builders,
final List<ObservedMeasurement<?>> measurements,
final ParameterDriversList estimatedMeasurementsParameters,
final ModelObserver observer) {
return new BatchLSModel(builders, measurements, estimatedMeasurementsParameters, observer);
}
/** {@inheritDoc} */
@Override
public AbstractKalmanModel buildKalmanModel(final List<OrbitDeterminationPropagatorBuilder> propagatorBuilders,
final List<CovarianceMatrixProvider> covarianceMatricesProviders,
final ParameterDriversList estimatedMeasurementsParameters,
final CovarianceMatrixProvider measurementProcessNoiseMatrix) {
return new KalmanModel(propagatorBuilders, covarianceMatricesProviders, estimatedMeasurementsParameters, measurementProcessNoiseMatrix);
}
}