Telemetry related Changes #394
@ -14,7 +14,7 @@
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/*Initialisation of values for parameters in constructor*/
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MultiplicativeKalmanFilter::MultiplicativeKalmanFilter(AcsParameters *acsParameters_)
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: initialQuaternion{0.5, 0.5, 0.5, 0.5},
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: initialQuaternion{0, 0, 0, 1},
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initialCovarianceMatrix{{0, 0, 0, 0, 0, 0}, {0, 0, 0, 0, 0, 0}, {0, 0, 0, 0, 0, 0},
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{0, 0, 0, 0, 0, 0}, {0, 0, 0, 0, 0, 0}, {0, 0, 0, 0, 0, 0}} {
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loadAcsParameters(acsParameters_);
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@ -27,12 +27,10 @@ void MultiplicativeKalmanFilter::loadAcsParameters(AcsParameters *acsParameters_
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kalmanFilterParameters = &(acsParameters_->kalmanFilterParameters);
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}
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void MultiplicativeKalmanFilter::reset() {}
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void MultiplicativeKalmanFilter::init(
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const double *magneticField_, const bool validMagField_, const double *sunDir_,
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const bool validSS, const double *sunDirJ, const bool validSSModel, const double *magFieldJ,
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const bool validMagModel) { // valids for "model measurements"?
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const bool validMagModel, acsctrl::MekfData *mekfData) { // valids for "model measurements"?
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// check for valid mag/sun
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if (validMagField_ && validSS && validSSModel && validMagModel) {
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validInit = true;
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@ -190,9 +188,11 @@ void MultiplicativeKalmanFilter::init(
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initialCovarianceMatrix[5][3] = initGyroCov[2][0];
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initialCovarianceMatrix[5][4] = initGyroCov[2][1];
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initialCovarianceMatrix[5][5] = initGyroCov[2][2];
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updateDataSetWithoutData(mekfData, MekfStatus::INITIALIZED);
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} else {
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// no initialisation possible, no valid measurements
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validInit = false;
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updateDataSetWithoutData(mekfData, MekfStatus::UNINITIALIZED);
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}
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}
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@ -208,32 +208,12 @@ ReturnValue_t MultiplicativeKalmanFilter::mekfEst(const double *quaternionSTR, c
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// Check for GYR Measurements
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int MDF = 0; // Matrix Dimension Factor
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if (!validGYRs_) {
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{
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PoolReadGuard pg(mekfData);
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if (pg.getReadResult() == returnvalue::OK) {
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double unitQuat[4] = {0.0, 0.0, 0.0, 1.0};
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double zeroVec[3] = {0.0, 0.0, 0.0};
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std::memcpy(mekfData->quatMekf.value, unitQuat, 4 * sizeof(double));
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std::memcpy(mekfData->satRotRateMekf.value, zeroVec, 3 * sizeof(double));
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mekfData->setValidity(false, true);
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}
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}
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validMekf = false;
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updateDataSetWithoutData(mekfData, MekfStatus::NO_GYR_DATA);
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return KALMAN_NO_GYR_MEAS;
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}
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// Check for Model Calculations
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else if (!validSSModel || !validMagModel) {
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{
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PoolReadGuard pg(mekfData);
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if (pg.getReadResult() == returnvalue::OK) {
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double unitQuat[4] = {0.0, 0.0, 0.0, 1.0};
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double zeroVec[3] = {0.0, 0.0, 0.0};
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std::memcpy(mekfData->quatMekf.value, unitQuat, 4 * sizeof(double));
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std::memcpy(mekfData->satRotRateMekf.value, zeroVec, 3 * sizeof(double));
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mekfData->setValidity(false, true);
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}
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}
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validMekf = false;
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updateDataSetWithoutData(mekfData, MekfStatus::NO_MODEL_VECTORS);
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return KALMAN_NO_MODEL;
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}
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// Check Measurements available from SS, MAG, STR
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@ -260,17 +240,7 @@ ReturnValue_t MultiplicativeKalmanFilter::mekfEst(const double *quaternionSTR, c
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MDF = 3;
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} else {
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sensorsAvail = 8; // no measurements
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validMekf = false;
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{
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PoolReadGuard pg(mekfData);
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if (pg.getReadResult() == returnvalue::OK) {
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double unitQuat[4] = {0.0, 0.0, 0.0, 1.0};
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double zeroVec[3] = {0.0, 0.0, 0.0};
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std::memcpy(mekfData->quatMekf.value, unitQuat, 4 * sizeof(double));
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std::memcpy(mekfData->satRotRateMekf.value, zeroVec, 3 * sizeof(double));
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mekfData->setValidity(false, true);
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}
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}
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updateDataSetWithoutData(mekfData, MekfStatus::NO_SUS_MGM_STR_DATA);
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return returnvalue::FAILED;
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}
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@ -881,17 +851,7 @@ ReturnValue_t MultiplicativeKalmanFilter::mekfEst(const double *quaternionSTR, c
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double invResidualCov[MDF][MDF] = {{0}};
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int inversionFailed = MathOperations<double>::inverseMatrix(*residualCov, *invResidualCov, MDF);
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if (inversionFailed) {
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{
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PoolReadGuard pg(mekfData);
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if (pg.getReadResult() == returnvalue::OK) {
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double unitQuat[4] = {0.0, 0.0, 0.0, 1.0};
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double zeroVec[3] = {0.0, 0.0, 0.0};
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std::memcpy(mekfData->quatMekf.value, unitQuat, 4 * sizeof(double));
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std::memcpy(mekfData->satRotRateMekf.value, zeroVec, 3 * sizeof(double));
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mekfData->setValidity(false, true);
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}
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}
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validMekf = false;
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updateDataSetWithoutData(mekfData, MekfStatus::COVARIANCE_INVERSION_FAILED);
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return KALMAN_INVERSION_FAILED; // RETURN VALUE ? -- Like: Kalman Inversion Failed
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}
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@ -1121,20 +1081,40 @@ ReturnValue_t MultiplicativeKalmanFilter::mekfEst(const double *quaternionSTR, c
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MatrixOperations<double>::multiply(*discTimeMatrix, *cov1, *cov1, 6, 6, 6);
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MatrixOperations<double>::add(*cov0, *cov1, *initialCovarianceMatrix, 6, 6);
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validMekf = true;
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// Discrete Time Step
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updateDataSet(mekfData, MekfStatus::RUNNING, quatBJ, rotRateEst);
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return returnvalue::OK;
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}
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// Check for new data in measurement -> SensorProcessing ?
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void MultiplicativeKalmanFilter::reset() {}
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void MultiplicativeKalmanFilter::updateDataSetWithoutData(acsctrl::MekfData *mekfData,
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MekfStatus mekfStatus) {
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{
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PoolReadGuard pg(mekfData);
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if (pg.getReadResult() == returnvalue::OK) {
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std::memcpy(mekfData->quatMekf.value, quatBJ, 4 * sizeof(double));
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std::memcpy(mekfData->satRotRateMekf.value, rotRateEst, 3 * sizeof(double));
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mekfData->setValidity(true, true);
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double unitQuat[4] = {0.0, 0.0, 0.0, 1.0};
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double zeroVec[3] = {0.0, 0.0, 0.0};
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std::memcpy(mekfData->quatMekf.value, unitQuat, 4 * sizeof(double));
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mekfData->quatMekf.setValid(false);
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std::memcpy(mekfData->satRotRateMekf.value, zeroVec, 3 * sizeof(double));
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mekfData->satRotRateMekf.setValid(false);
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mekfData->mekfStatus = mekfStatus;
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mekfData->setValidity(true, false);
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}
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}
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}
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return returnvalue::OK;
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void MultiplicativeKalmanFilter::updateDataSet(acsctrl::MekfData *mekfData,
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MekfStatus mekfStatus, double quat[4],
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double satRotRate[3]) {
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{
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PoolReadGuard pg(mekfData);
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if (pg.getReadResult() == returnvalue::OK) {
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std::memcpy(mekfData->quatMekf.value, quat, 4 * sizeof(double));
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std::memcpy(mekfData->satRotRateMekf.value, satRotRate, 3 * sizeof(double));
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mekfData->mekfStatus = mekfStatus;
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mekfData->setValidity(true, true);
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}
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}
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}
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@ -41,7 +41,7 @@ class MultiplicativeKalmanFilter {
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*/
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void init(const double *magneticField_, const bool validMagField_, const double *sunDir_,
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const bool validSS, const double *sunDirJ, const bool validSSModel,
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const double *magFieldJ, const bool validMagModel);
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const double *magFieldJ, const bool validMagModel, acsctrl::MekfData *mekfData);
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/* @brief: mekfEst() - This function calculates the quaternion and gyro bias of the Kalman Filter
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* for the current step after the initalization
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@ -63,6 +63,16 @@ class MultiplicativeKalmanFilter {
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const double *sunDirJ, const bool validSSModel, const double *magFieldJ,
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const bool validMagModel, double sampleTime, acsctrl::MekfData *mekfData);
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enum MekfStatus : uint8_t {
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UNINITIALIZED = 0,
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NO_GYR_DATA = 1,
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NO_MODEL_VECTORS = 2,
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NO_SUS_MGM_STR_DATA = 3,
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COVARIANCE_INVERSION_FAILED = 4,
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INITIALIZED = 10,
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RUNNING = 11,
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};
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// resetting Mekf
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static constexpr uint8_t IF_KAL_ID = CLASS_ID::ACS_KALMAN;
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static constexpr ReturnValue_t KALMAN_NO_GYR_MEAS = returnvalue::makeCode(IF_KAL_ID, 1);
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@ -80,16 +90,17 @@ class MultiplicativeKalmanFilter {
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double initialQuaternion[4]; /*after reset?QUEST*/
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double initialCovarianceMatrix[6][6]; /*after reset?QUEST*/
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double propagatedQuaternion[4]; /*Filter Quaternion for next step*/
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bool validMekf;
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uint8_t sensorsAvail;
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/*Outputs*/
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double quatBJ[4]; /* Output Quaternion */
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double biasGYR[3]; /*Between measured and estimated sat Rate*/
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/*Parameter INIT*/
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// double alpha, gamma, beta;
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/*Functions*/
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void loadAcsParameters(AcsParameters *acsParameters_);
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void updateDataSetWithoutData(acsctrl::MekfData *mekfData, MekfStatus mekfStatus);
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void updateDataSet(acsctrl::MekfData *mekfData, MekfStatus mekfStatus, double quat[4],
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double satRotRate[3]);
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};
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#endif /* ACS_MULTIPLICATIVEKALMANFILTER_H_ */
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@ -1,10 +1,3 @@
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/*
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* Navigation.cpp
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*
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* Created on: 23 May 2022
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* Author: Robin Marquardt
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*/
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#include "Navigation.h"
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#include <fsfw/globalfunctions/math/MatrixOperations.h>
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@ -46,7 +39,7 @@ void Navigation::useMekf(ACS::SensorValues *sensorValues,
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mgmDataProcessed->mgmVecTot.value, mgmDataProcessed->mgmVecTot.isValid(),
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susDataProcessed->susVecTot.value, susDataProcessed->susVecTot.isValid(),
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susDataProcessed->sunIjkModel.value, susDataProcessed->sunIjkModel.isValid(),
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mgmDataProcessed->magIgrfModel.value, mgmDataProcessed->magIgrfModel.isValid());
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mgmDataProcessed->magIgrfModel.value, mgmDataProcessed->magIgrfModel.isValid(), mekfData);
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kalmanInit = true;
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*mekfValid = returnvalue::OK;
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Block a user