mirror of https://github.com/ArduPilot/ardupilot
AP_NavEKF2: add numerical error checking and isolation to mag decl fusion
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@ -941,18 +941,6 @@ void NavEKF2_core::FuseDeclination()
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innovation = -0.5f;
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}
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// zero the attitude error state - by definition it is assumed to be zero before each observaton fusion
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stateStruct.angErr.zero();
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// correct the state vector
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for (uint8_t j= 0; j<=stateIndexLim; j++) {
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statesArray[j] = statesArray[j] - Kfusion[j] * innovation;
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}
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// the first 3 states represent the angular misalignment vector. This is
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// is used to correct the estimated quaternion on the current time step
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stateStruct.quat.rotate(stateStruct.angErr);
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// correct the covariance P = (I - K*H)*P
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// take advantage of the empty columns in KH to reduce the
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// number of operations
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@ -971,17 +959,45 @@ void NavEKF2_core::FuseDeclination()
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KHP[i][j] = KH[i][16] * P[16][j] + KH[i][17] * P[17][j];
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}
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}
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for (unsigned i = 0; i<=stateIndexLim; i++) {
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for (unsigned j = 0; j<=stateIndexLim; j++) {
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P[i][j] = P[i][j] - KHP[i][j];
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// Check that we are not going to drive any variances negative and skip the update if so
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bool healthyFusion = true;
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for (uint8_t i= 0; i<=stateIndexLim; i++) {
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if (KHP[i][i] > P[i][i]) {
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healthyFusion = false;
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}
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}
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// force the covariance matrix to be symmetrical and limit the variances to prevent
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// ill-condiioning.
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ForceSymmetry();
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ConstrainVariances();
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if (healthyFusion) {
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// update the covariance matrix
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for (uint8_t i= 0; i<=stateIndexLim; i++) {
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for (uint8_t j= 0; j<=stateIndexLim; j++) {
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P[i][j] = P[i][j] - KHP[i][j];
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}
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}
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// force the covariance matrix to be symmetrical and limit the variances to prevent ill-condiioning.
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ForceSymmetry();
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ConstrainVariances();
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// zero the attitude error state - by definition it is assumed to be zero before each observaton fusion
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stateStruct.angErr.zero();
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// correct the state vector
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for (uint8_t j= 0; j<=stateIndexLim; j++) {
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statesArray[j] = statesArray[j] - Kfusion[j] * innovation;
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}
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// the first 3 states represent the angular misalignment vector. This is
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// is used to correct the estimated quaternion on the current time step
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stateStruct.quat.rotate(stateStruct.angErr);
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// record fusion health status
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faultStatus.bad_decl = false;
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} else {
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// record fusion health status
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faultStatus.bad_decl = true;
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}
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}
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/********************************************************
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@ -885,6 +885,7 @@ private:
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bool bad_epos:1;
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bool bad_dpos:1;
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bool bad_yaw:1;
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bool bad_decl:1;
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} faultStatus;
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// flags indicating which GPS quality checks are failing
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