1 /* Copyright 2002-2026 CS GROUP
2 * Licensed to CS GROUP (CS) under one or more
3 * contributor license agreements. See the NOTICE file distributed with
4 * this work for additional information regarding copyright ownership.
5 * CS licenses this file to You under the Apache License, Version 2.0
6 * (the "License"); you may not use this file except in compliance with
7 * the License. You may obtain a copy of the License at
8 *
9 * http://www.apache.org/licenses/LICENSE-2.0
10 *
11 * Unless required by applicable law or agreed to in writing, software
12 * distributed under the License is distributed on an "AS IS" BASIS,
13 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
14 * See the License for the specific language governing permissions and
15 * limitations under the License.
16 */
17 package org.orekit.propagation.numerical;
18
19 import org.hipparchus.analysis.differentiation.Gradient;
20 import org.hipparchus.geometry.euclidean.threed.FieldVector3D;
21 import org.hipparchus.linear.Array2DRowRealMatrix;
22 import org.hipparchus.linear.DecompositionSolver;
23 import org.hipparchus.linear.MatrixUtils;
24 import org.hipparchus.linear.QRDecomposition;
25 import org.hipparchus.linear.RealMatrix;
26 import org.orekit.errors.OrekitException;
27 import org.orekit.errors.OrekitMessages;
28 import org.orekit.forces.ForceModel;
29 import org.orekit.forces.gravity.ThirdBodyAttractionEpoch;
30 import org.orekit.propagation.FieldSpacecraftState;
31 import org.orekit.propagation.SpacecraftState;
32 import org.orekit.propagation.integration.AdditionalDerivativesProvider;
33 import org.orekit.propagation.integration.CombinedDerivatives;
34 import org.orekit.utils.drivers.ParameterDriver;
35 import org.orekit.utils.drivers.ParameterDriversList;
36
37 import java.util.IdentityHashMap;
38 import java.util.Map;
39
40 /** Computes derivatives of the acceleration, including ThirdBodyAttraction.
41 * <p>
42 * {@link AdditionalDerivativesProvider Provider} computing the partial derivatives
43 * of the state (orbit) with respect to initial state and force models parameters.
44 * </p>
45 * <p>
46 * This set of equations are automatically added to a {@link NumericalPropagator numerical propagator}
47 * in order to compute partial derivatives of the orbit along with the orbit itself. This is
48 * useful for example in orbit determination applications.
49 * </p>
50 * <p>
51 * The partial derivatives with respect to initial state can be either dimension 6
52 * (orbit only) or 7 (orbit and mass).
53 * </p>
54 * <p>
55 * The partial derivatives with respect to force models parameters has a dimension
56 * equal to the number of selected parameters. Parameters selection is implemented at
57 * {@link ForceModel force models} level. Users must retrieve a {@link ParameterDriver
58 * parameter driver} using {@link ForceModel#getParameterDriver(String)} and then
59 * select it by calling {@link ParameterDriver#setSelected(boolean) setSelected(true)}.
60 * </p>
61 * <p>
62 * If several force models provide different {@link ParameterDriver drivers} for the
63 * same parameter name, selecting any of these drivers has the side effect of
64 * selecting all the drivers for this shared parameter. In this case, the partial
65 * derivatives will be the sum of the partial derivatives contributed by the
66 * corresponding force models. This case typically arises for central attraction
67 * coefficient, which has an influence on {@link org.orekit.forces.gravity.NewtonianAttraction
68 * Newtonian attraction}, {@link org.orekit.forces.gravity.HolmesFeatherstoneAttractionModel
69 * gravity field}, and {@link org.orekit.forces.gravity.Relativity relativity}.
70 * </p>
71 * @author Véronique Pommier-Maurussane
72 * @author Luc Maisonobe
73 * @since 10.2
74 */
75 public class EpochDerivativesEquations
76 implements AdditionalDerivativesProvider {
77
78 /** State dimension, fixed to 6. */
79 public static final int STATE_DIMENSION = 6;
80
81 /** Propagator computing state evolution. */
82 private final NumericalPropagator propagator;
83
84 /** Selected parameters for Jacobian computation. */
85 private ParameterDriversList selected;
86
87 /** Parameters map. */
88 private Map<String, Integer> map;
89
90 /** Name. */
91 private final String name;
92
93 /** Simple constructor.
94 * <p>
95 * Upon construction, this set of equations is <em>automatically</em> added to
96 * the propagator by calling its {@link
97 * NumericalPropagator#addAdditionalDerivativesProvider(AdditionalDerivativesProvider)} method. So
98 * there is no need to call this method explicitly for these equations.
99 * </p>
100 * @param name name of the partial derivatives equations
101 * @param propagator the propagator that will handle the orbit propagation
102 */
103 public EpochDerivativesEquations(final String name, final NumericalPropagator propagator) {
104 this.name = name;
105 this.selected = null;
106 this.map = null;
107 this.propagator = propagator;
108 propagator.addAdditionalDerivativesProvider(this);
109 }
110
111 /** {@inheritDoc} */
112 public String getName() {
113 return name;
114 }
115
116 /** {@inheritDoc} */
117 @Override
118 public int getDimension() {
119 freezeParametersSelection();
120 return 6 * (6 + selected.getNbParams() + 1);
121 }
122
123 /** Freeze the selected parameters from the force models.
124 */
125 private void freezeParametersSelection() {
126 if (selected == null) {
127
128 // first pass: gather all parameters, binding similar names together
129 selected = new ParameterDriversList();
130 for (final ForceModel provider : propagator.getAllForceModels()) {
131 for (final ParameterDriver driver : provider.getParametersDrivers()) {
132 selected.add(driver);
133 }
134 }
135
136 // second pass: now that shared parameter names are bound together,
137 // their selections status have been synchronized, we can filter them
138 selected.filter(true);
139
140 // third pass: sort parameters lexicographically
141 selected.sort();
142
143 // fourth pass: set up a map between parameters drivers and matrices columns
144 map = new IdentityHashMap<>();
145 int parameterIndex = 0;
146 int previousParameterIndex = 0;
147 for (final ParameterDriver selectedDriver : selected.getDrivers()) {
148 for (final ForceModel provider : propagator.getAllForceModels()) {
149 for (final ParameterDriver driver : provider.getParametersDrivers()) {
150 if (driver.getName().equals(selectedDriver.getName())) {
151 previousParameterIndex = parameterIndex;
152 map.put(driver.getName(), previousParameterIndex++);
153 }
154 }
155 }
156 parameterIndex = previousParameterIndex;
157 }
158
159 }
160 }
161
162 /** Set the initial value of the Jacobian with respect to state and parameter.
163 * <p>
164 * This method is equivalent to call {@link #setInitialJacobians(SpacecraftState,
165 * double[][], double[][])} with dYdY0 set to the identity matrix and dYdP set
166 * to a zero matrix.
167 * </p>
168 * <p>
169 * The force models parameters for which partial derivatives are desired,
170 * <em>must</em> have been {@link ParameterDriver#setSelected(boolean) selected}
171 * before this method is called, so proper matrices dimensions are used.
172 * </p>
173 * @param s0 initial state
174 * @return state with initial Jacobians added
175 */
176 public SpacecraftState setInitialJacobians(final SpacecraftState s0) {
177 freezeParametersSelection();
178 final int epochStateDimension = 6;
179 final double[][] dYdY0 = new double[epochStateDimension][epochStateDimension];
180 final double[][] dYdP = new double[epochStateDimension][selected.getNbParams() + 6];
181 for (int i = 0; i < epochStateDimension; ++i) {
182 dYdY0[i][i] = 1.0;
183 }
184 return setInitialJacobians(s0, dYdY0, dYdP);
185 }
186
187 /** Set the initial value of the Jacobian with respect to state and parameter.
188 * <p>
189 * The returned state must be added to the propagator (it is not done
190 * automatically, as the user may need to add more states to it).
191 * </p>
192 * <p>
193 * The force models parameters for which partial derivatives are desired,
194 * <em>must</em> have been {@link ParameterDriver#setSelected(boolean) selected}
195 * before this method is called, and the {@code dY1dP} matrix dimension <em>must</em>
196 * be consistent with the selection.
197 * </p>
198 * @param s1 current state
199 * @param dY1dY0 Jacobian of current state at time t₁ with respect
200 * to state at some previous time t₀ (must be 6x6)
201 * @param dY1dP Jacobian of current state at time t₁ with respect
202 * to parameters (may be null if no parameters are selected)
203 * @return state with initial Jacobians added
204 */
205 public SpacecraftState setInitialJacobians(final SpacecraftState s1,
206 final double[][] dY1dY0, final double[][] dY1dP) {
207
208 freezeParametersSelection();
209
210 // Check dimensions
211 final int stateDimEpoch = dY1dY0.length;
212 if (stateDimEpoch != 6 || stateDimEpoch != dY1dY0[0].length) {
213 throw new OrekitException(OrekitMessages.STATE_JACOBIAN_NOT_6X6,
214 stateDimEpoch, dY1dY0[0].length);
215 }
216 if (dY1dP != null && stateDimEpoch != dY1dP.length) {
217 throw new OrekitException(OrekitMessages.STATE_AND_PARAMETERS_JACOBIANS_ROWS_MISMATCH,
218 stateDimEpoch, dY1dP.length);
219 }
220
221 // store the matrices as a single dimension array
222 final double[] p = new double[STATE_DIMENSION * (STATE_DIMENSION + selected.getNbParams()) + 6];
223 setInitialJacobians(s1, dY1dY0, dY1dP, p);
224
225 // set value in propagator
226 return s1.addAdditionalData(name, p);
227
228 }
229
230 /** Set the Jacobian with respect to state into a one-dimensional additional state array.
231 * <p>
232 * This method converts the Jacobians to Cartesian parameters and put the converted data
233 * in the one-dimensional {@code p} array.
234 * </p>
235 * @param state spacecraft state
236 * @param dY1dY0 Jacobian of current state at time t₁
237 * with respect to state at some previous time t₀
238 * @param dY1dP Jacobian of current state at time t₁
239 * with respect to parameters (may be null if there are no parameters)
240 * @param p placeholder where to put the one-dimensional additional state
241 */
242 public void setInitialJacobians(final SpacecraftState state, final double[][] dY1dY0,
243 final double[][] dY1dP, final double[] p) {
244
245 // set up a converter
246 final RealMatrix dY1dC1 = MatrixUtils.createRealIdentityMatrix(STATE_DIMENSION);
247 final DecompositionSolver solver = new QRDecomposition(dY1dC1).getSolver();
248
249 // convert the provided state Jacobian
250 final RealMatrix dC1dY0 = solver.solve(new Array2DRowRealMatrix(dY1dY0, false));
251
252 // map the converted state Jacobian to one-dimensional array
253 int index = 0;
254 for (int i = 0; i < STATE_DIMENSION; ++i) {
255 for (int j = 0; j < STATE_DIMENSION; ++j) {
256 p[index++] = dC1dY0.getEntry(i, j);
257 }
258 }
259
260 if (selected.getNbParams() != 0) {
261 // convert the provided state Jacobian
262 final RealMatrix dC1dP = solver.solve(new Array2DRowRealMatrix(dY1dP, false));
263
264 // map the converted parameters Jacobian to one-dimensional array
265 for (int i = 0; i < STATE_DIMENSION; ++i) {
266 for (int j = 0; j < selected.getNbParams(); ++j) {
267 p[index++] = dC1dP.getEntry(i, j);
268 }
269 }
270 }
271
272 }
273
274 /** {@inheritDoc} */
275 public CombinedDerivatives combinedDerivatives(final SpacecraftState s) {
276
277 // initialize acceleration Jacobians to zero
278 final int paramDimEpoch = selected.getNbParams() + 1; // added epoch
279 final int dimEpoch = 3;
280 final double[][] dAccdParam = new double[dimEpoch][paramDimEpoch];
281 final double[][] dAccdPos = new double[dimEpoch][dimEpoch];
282 final double[][] dAccdVel = new double[dimEpoch][dimEpoch];
283
284 final NumericalGradientConverter fullConverter = new NumericalGradientConverter(s, 6, propagator.getAttitudeProvider());
285 final NumericalGradientConverter posOnlyConverter = new NumericalGradientConverter(s, 3, propagator.getAttitudeProvider());
286
287 // compute acceleration Jacobians, finishing with the largest force: Newtonian attraction
288 for (final ForceModel forceModel : propagator.getAllForceModels()) {
289 final NumericalGradientConverter converter = forceModel.dependsOnPositionOnly() ? posOnlyConverter : fullConverter;
290 final FieldSpacecraftState<Gradient> dsState = converter.getState(forceModel);
291 final Gradient[] parameters = converter.getParametersAtStateDate(dsState, forceModel);
292
293 final FieldVector3D<Gradient> acceleration = forceModel.acceleration(dsState, parameters);
294 final double[] derivativesX = acceleration.getX().getGradient();
295 final double[] derivativesY = acceleration.getY().getGradient();
296 final double[] derivativesZ = acceleration.getZ().getGradient();
297
298 // update Jacobians with respect to state
299 addToRow(derivativesX, 0, converter.getFreeStateParameters(), dAccdPos, dAccdVel);
300 addToRow(derivativesY, 1, converter.getFreeStateParameters(), dAccdPos, dAccdVel);
301 addToRow(derivativesZ, 2, converter.getFreeStateParameters(), dAccdPos, dAccdVel);
302
303 int index = converter.getFreeStateParameters();
304 for (ParameterDriver driver : forceModel.getParametersDrivers()) {
305 if (driver.isSelected()) {
306 final int parameterIndex = map.get(driver.getName());
307 dAccdParam[0][parameterIndex] += derivativesX[index];
308 dAccdParam[1][parameterIndex] += derivativesY[index];
309 dAccdParam[2][parameterIndex] += derivativesZ[index];
310 ++index;
311 }
312 }
313
314 // Add the derivatives of the acceleration w.r.t. the Epoch
315 if (forceModel instanceof ThirdBodyAttractionEpoch epoch) {
316 final double[] parametersValues = new double[] {parameters[0].getValue()};
317 final double[] derivatives = epoch.getDerivativesToEpoch(s, parametersValues);
318 dAccdParam[0][paramDimEpoch - 1] += derivatives[0];
319 dAccdParam[1][paramDimEpoch - 1] += derivatives[1];
320 dAccdParam[2][paramDimEpoch - 1] += derivatives[2];
321 }
322
323 }
324
325 // the variational equations of the complete state Jacobian matrix have the following form:
326
327 // [ | ] [ | ] [ | ]
328 // [ Adot | Bdot ] [ dVel/dPos = 0 | dVel/dVel = Id ] [ A | B ]
329 // [ | ] [ | ] [ | ]
330 // ---------+--------- ------------------+------------------- * ------+------
331 // [ | ] [ | ] [ | ]
332 // [ Cdot | Ddot ] = [ dAcc/dPos | dAcc/dVel ] [ C | D ]
333 // [ | ] [ | ] [ | ]
334
335 // The A, B, C and D sub-matrices and their derivatives (Adot ...) are 3x3 matrices
336
337 // The expanded multiplication above can be rewritten to take into account
338 // the fixed values found in the sub-matrices in the left factor. This leads to:
339
340 // [ Adot ] = [ C ]
341 // [ Bdot ] = [ D ]
342 // [ Cdot ] = [ dAcc/dPos ] * [ A ] + [ dAcc/dVel ] * [ C ]
343 // [ Ddot ] = [ dAcc/dPos ] * [ B ] + [ dAcc/dVel ] * [ D ]
344
345 // The following loops compute these expressions taking care of the mapping of the
346 // (A, B, C, D) matrices into the single dimension array p and of the mapping of the
347 // (Adot, Bdot, Cdot, Ddot) matrices into the single dimension array pDot.
348
349 // copy C and E into Adot and Bdot
350 final int stateDim = 6;
351 final double[] p = s.getAdditionalState(getName());
352 final double[] pDot = new double[p.length];
353 System.arraycopy(p, dimEpoch * stateDim, pDot, 0, dimEpoch * stateDim);
354
355 // compute Cdot and Ddot
356 for (int i = 0; i < dimEpoch; ++i) {
357 final double[] dAdPi = dAccdPos[i];
358 final double[] dAdVi = dAccdVel[i];
359 for (int j = 0; j < stateDim; ++j) {
360 pDot[(dimEpoch + i) * stateDim + j] =
361 dAdPi[0] * p[j] + dAdPi[1] * p[j + stateDim] + dAdPi[2] * p[j + 2 * stateDim] +
362 dAdVi[0] * p[j + 3 * stateDim] + dAdVi[1] * p[j + 4 * stateDim] + dAdVi[2] * p[j + 5 * stateDim];
363 }
364 }
365
366 for (int k = 0; k < paramDimEpoch; ++k) {
367 // the variational equations of the parameters Jacobian matrix are computed
368 // one column at a time, they have the following form:
369 // [ ] [ | ] [ ] [ ]
370 // [ Edot ] [ dVel/dPos = 0 | dVel/dVel = Id ] [ E ] [ dVel/dParam = 0 ]
371 // [ ] [ | ] [ ] [ ]
372 // -------- ------------------+------------------- * ----- + --------------------
373 // [ ] [ | ] [ ] [ ]
374 // [ Fdot ] = [ dAcc/dPos | dAcc/dVel ] [ F ] [ dAcc/dParam ]
375 // [ ] [ | ] [ ] [ ]
376
377 // The E and F sub-columns and their derivatives (Edot, Fdot) are 3 elements columns.
378
379 // The expanded multiplication and addition above can be rewritten to take into
380 // account the fixed values found in the sub-matrices in the left factor. This leads to:
381
382 // [ Edot ] = [ F ]
383 // [ Fdot ] = [ dAcc/dPos ] * [ E ] + [ dAcc/dVel ] * [ F ] + [ dAcc/dParam ]
384
385 // The following loops compute these expressions taking care of the mapping of the
386 // (E, F) columns into the single dimension array p and of the mapping of the
387 // (Edot, Fdot) columns into the single dimension array pDot.
388
389 // copy F into Edot
390 final int columnTop = stateDim * stateDim + k;
391 pDot[columnTop] = p[columnTop + 3 * paramDimEpoch];
392 pDot[columnTop + paramDimEpoch] = p[columnTop + 4 * paramDimEpoch];
393 pDot[columnTop + 2 * paramDimEpoch] = p[columnTop + 5 * paramDimEpoch];
394
395 // compute Fdot
396 for (int i = 0; i < dimEpoch; ++i) {
397 final double[] dAdP = dAccdPos[i];
398 final double[] dAdV = dAccdVel[i];
399 pDot[columnTop + (dimEpoch + i) * paramDimEpoch] =
400 dAccdParam[i][k] +
401 dAdP[0] * p[columnTop] + dAdP[1] * p[columnTop + paramDimEpoch] + dAdP[2] * p[columnTop + 2 * paramDimEpoch] +
402 dAdV[0] * p[columnTop + 3 * paramDimEpoch] + dAdV[1] * p[columnTop + 4 * paramDimEpoch] + dAdV[2] * p[columnTop + 5 * paramDimEpoch];
403 }
404
405 }
406
407 return new CombinedDerivatives(pDot, null);
408
409 }
410
411 /** Fill Jacobians rows.
412 * @param derivatives derivatives of a component of acceleration (along either x, y or z)
413 * @param index component index (0 for x, 1 for y, 2 for z)
414 * @param freeStateParameters number of free parameters, either 3 (position),
415 * 6 (position-velocity) or 7 (position-velocity-mass)
416 * @param dAccdPos Jacobian of acceleration with respect to spacecraft position
417 * @param dAccdVel Jacobian of acceleration with respect to spacecraft velocity
418 */
419 private void addToRow(final double[] derivatives, final int index, final int freeStateParameters,
420 final double[][] dAccdPos, final double[][] dAccdVel) {
421
422 for (int i = 0; i < 3; ++i) {
423 dAccdPos[index][i] += derivatives[i];
424 }
425 if (freeStateParameters > 3) {
426 for (int i = 0; i < 3; ++i) {
427 dAccdVel[index][i] += derivatives[i + 3];
428 }
429 }
430
431 }
432
433 }
434