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ekf2 airspeed fusion:
- finished logic for fusion - fixed bug where previous control status was set in the wrong location
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@ -52,8 +52,8 @@ void Ekf::fuseAirspeed()
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float vwn; // Wind speed in north direction
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float vwe; // Wind speed in east direction
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float v_tas_pred; // Predicted measurement
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float EAS2TAS = 1.0f; // Where can I get this from?
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float R_TAS = sq(math::constrain(_params.eas_noise, 0.5f, 5.0f) * math::constrain(EAS2TAS, 0.9f, 10.0f)); // Variance for true airspeed measurement - (m/sec)^2
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float R_TAS = sq(math::constrain(_params.eas_noise, 0.5f, 5.0f) * math::constrain(_airspeed_sample_delayed.eas2tas, 0.9f,
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10.0f)); // Variance for true airspeed measurement - (m/sec)^2
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float SH_TAS[3] = {}; // Varialbe used to optimise calculations of measurement jacobian
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float H_TAS[24] = {}; // Observation Jacobian
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float SK_TAS[2] = {}; // Varialbe used to optimise calculations of the Kalman gain vector
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@ -84,57 +84,88 @@ void Ekf::fuseAirspeed()
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H_TAS[5] = vd * SH_TAS[0];
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H_TAS[22] = -SH_TAS[2];
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H_TAS[23] = -SH_TAS[1];
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// We don't want to update the innovation variance if the calculation is ill conditioned
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float _airspeed_innov_var_temp = (R_TAS + SH_TAS[2] * (P[3][3] * SH_TAS[2] + P[4][3] * SH_TAS[1] - P[22][3] * SH_TAS[2] - P[23][3] * SH_TAS[1] + P[5][3] * vd *SH_TAS[0]) + SH_TAS[1] * (P[3][4] * SH_TAS[2] + P[4][4] * SH_TAS[1] - P[22][4] * SH_TAS[2] - P[23][4] * SH_TAS[1] + P[5][4] * vd *SH_TAS[0]) - SH_TAS[2] * (P[3][22] * SH_TAS[2] + P[4][22] * SH_TAS[1] - P[22][22] * SH_TAS[2] - P[23][22] * SH_TAS[1] + P[5][22] * vd *SH_TAS[0]) - SH_TAS[1] * (P[3][23] * SH_TAS[2] + P[4][23] * SH_TAS[1] - P[22][23] * SH_TAS[2] - P[23][23] * SH_TAS[1] + P[5][23] * vd *SH_TAS[0]) + vd *SH_TAS[0] * (P[3][5] * SH_TAS[2] + P[4][5] * SH_TAS[1] - P[22][5] * SH_TAS[2] - P[23][5] * SH_TAS[1] + P[5][5] * vd *SH_TAS[0]));
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float _airspeed_innov_var_temp = (R_TAS + SH_TAS[2] * (P[3][3] * SH_TAS[2] + P[4][3] * SH_TAS[1] - P[22][3] * SH_TAS[2]
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- P[23][3] * SH_TAS[1] + P[5][3] * vd * SH_TAS[0]) + SH_TAS[1] * (P[3][4] * SH_TAS[2] + P[4][4] * SH_TAS[1] - P[22][4] *
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SH_TAS[2] - P[23][4] * SH_TAS[1] + P[5][4] * vd * SH_TAS[0]) - SH_TAS[2] * (P[3][22] * SH_TAS[2] + P[4][22] * SH_TAS[1]
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- P[22][22] * SH_TAS[2] - P[23][22] * SH_TAS[1] + P[5][22] * vd * SH_TAS[0]) - SH_TAS[1] *
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(P[3][23] * SH_TAS[2] + P[4][23] * SH_TAS[1] - P[22][23] * SH_TAS[2] - P[23][23] * SH_TAS[1] + P[5][23] * vd *
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SH_TAS[0]) + vd * SH_TAS[0] * (P[3][5] * SH_TAS[2] + P[4][5] * SH_TAS[1] - P[22][5] * SH_TAS[2] - P[23][5] * SH_TAS[1] +
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P[5][5] * vd * SH_TAS[0]));
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if (_airspeed_innov_var_temp >= R_TAS) { // Check for badly conditioned calculation
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SK_TAS[0] = 1.0f / _airspeed_innov_var_temp;
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_fault_status.bad_airspeed = false;
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} else { // Reset the estimator
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_fault_status.bad_airspeed = true;
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initialiseCovariance();
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return;
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}
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SK_TAS[0] = 1.0f / _airspeed_innov_var_temp;
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} else { // Reset the estimator
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initialiseCovariance();
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return;
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}
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SK_TAS[1] = SH_TAS[1];
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Kfusion[0] = SK_TAS[0]*(P[0][3]*SH_TAS[2] - P[0][22]*SH_TAS[2] + P[0][4]*SK_TAS[1] - P[0][23]*SK_TAS[1] + P[0][5]*vd*SH_TAS[0]);
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Kfusion[1] = SK_TAS[0]*(P[1][3]*SH_TAS[2] - P[1][22]*SH_TAS[2] + P[1][4]*SK_TAS[1] - P[1][23]*SK_TAS[1] + P[1][5]*vd*SH_TAS[0]);
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Kfusion[2] = SK_TAS[0]*(P[2][3]*SH_TAS[2] - P[2][22]*SH_TAS[2] + P[2][4]*SK_TAS[1] - P[2][23]*SK_TAS[1] + P[2][5]*vd*SH_TAS[0]);
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Kfusion[3] = SK_TAS[0]*(P[3][3]*SH_TAS[2] - P[3][22]*SH_TAS[2] + P[3][4]*SK_TAS[1] - P[3][23]*SK_TAS[1] + P[3][5]*vd*SH_TAS[0]);
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Kfusion[4] = SK_TAS[0]*(P[4][3]*SH_TAS[2] - P[4][22]*SH_TAS[2] + P[4][4]*SK_TAS[1] - P[4][23]*SK_TAS[1] + P[4][5]*vd*SH_TAS[0]);
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Kfusion[5] = SK_TAS[0]*(P[5][3]*SH_TAS[2] - P[5][22]*SH_TAS[2] + P[5][4]*SK_TAS[1] - P[5][23]*SK_TAS[1] + P[5][5]*vd*SH_TAS[0]);
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Kfusion[6] = SK_TAS[0]*(P[6][3]*SH_TAS[2] - P[6][22]*SH_TAS[2] + P[6][4]*SK_TAS[1] - P[6][23]*SK_TAS[1] + P[6][5]*vd*SH_TAS[0]);
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Kfusion[7] = SK_TAS[0]*(P[7][3]*SH_TAS[2] - P[7][22]*SH_TAS[2] + P[7][4]*SK_TAS[1] - P[7][23]*SK_TAS[1] + P[7][5]*vd*SH_TAS[0]);
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Kfusion[8] = SK_TAS[0]*(P[8][3]*SH_TAS[2] - P[8][22]*SH_TAS[2] + P[8][4]*SK_TAS[1] - P[8][23]*SK_TAS[1] + P[8][5]*vd*SH_TAS[0]);
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Kfusion[9] = SK_TAS[0]*(P[9][3]*SH_TAS[2] - P[9][22]*SH_TAS[2] + P[9][4]*SK_TAS[1] - P[9][23]*SK_TAS[1] + P[9][5]*vd*SH_TAS[0]);
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Kfusion[10] = SK_TAS[0]*(P[10][3]*SH_TAS[2] - P[10][22]*SH_TAS[2] + P[10][4]*SK_TAS[1] - P[10][23]*SK_TAS[1] + P[10][5]*vd*SH_TAS[0]);
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Kfusion[11] = SK_TAS[0]*(P[11][3]*SH_TAS[2] - P[11][22]*SH_TAS[2] + P[11][4]*SK_TAS[1] - P[11][23]*SK_TAS[1] + P[11][5]*vd*SH_TAS[0]);
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Kfusion[12] = SK_TAS[0]*(P[12][3]*SH_TAS[2] - P[12][22]*SH_TAS[2] + P[12][4]*SK_TAS[1] - P[12][23]*SK_TAS[1] + P[12][5]*vd*SH_TAS[0]);
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Kfusion[13] = SK_TAS[0]*(P[13][3]*SH_TAS[2] - P[13][22]*SH_TAS[2] + P[13][4]*SK_TAS[1] - P[13][23]*SK_TAS[1] + P[13][5]*vd*SH_TAS[0]);
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Kfusion[14] = SK_TAS[0]*(P[14][3]*SH_TAS[2] - P[14][22]*SH_TAS[2] + P[14][4]*SK_TAS[1] - P[14][23]*SK_TAS[1] + P[14][5]*vd*SH_TAS[0]);
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Kfusion[15] = SK_TAS[0]*(P[15][3]*SH_TAS[2] - P[15][22]*SH_TAS[2] + P[15][4]*SK_TAS[1] - P[15][23]*SK_TAS[1] + P[15][5]*vd*SH_TAS[0]);
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Kfusion[22] = SK_TAS[0]*(P[22][3]*SH_TAS[2] - P[22][22]*SH_TAS[2] + P[22][4]*SK_TAS[1] - P[22][23]*SK_TAS[1] + P[22][5]*vd*SH_TAS[0]);
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Kfusion[23] = SK_TAS[0]*(P[23][3]*SH_TAS[2] - P[23][22]*SH_TAS[2] + P[23][4]*SK_TAS[1] - P[23][23]*SK_TAS[1] + P[23][5]*vd*SH_TAS[0]);
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Kfusion[0] = SK_TAS[0] * (P[0][3] * SH_TAS[2] - P[0][22] * SH_TAS[2] + P[0][4] * SK_TAS[1] - P[0][23] * SK_TAS[1] +
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P[0][5] * vd * SH_TAS[0]);
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Kfusion[1] = SK_TAS[0] * (P[1][3] * SH_TAS[2] - P[1][22] * SH_TAS[2] + P[1][4] * SK_TAS[1] - P[1][23] * SK_TAS[1] +
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P[1][5] * vd * SH_TAS[0]);
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Kfusion[2] = SK_TAS[0] * (P[2][3] * SH_TAS[2] - P[2][22] * SH_TAS[2] + P[2][4] * SK_TAS[1] - P[2][23] * SK_TAS[1] +
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P[2][5] * vd * SH_TAS[0]);
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Kfusion[3] = SK_TAS[0] * (P[3][3] * SH_TAS[2] - P[3][22] * SH_TAS[2] + P[3][4] * SK_TAS[1] - P[3][23] * SK_TAS[1] +
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P[3][5] * vd * SH_TAS[0]);
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Kfusion[4] = SK_TAS[0] * (P[4][3] * SH_TAS[2] - P[4][22] * SH_TAS[2] + P[4][4] * SK_TAS[1] - P[4][23] * SK_TAS[1] +
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P[4][5] * vd * SH_TAS[0]);
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Kfusion[5] = SK_TAS[0] * (P[5][3] * SH_TAS[2] - P[5][22] * SH_TAS[2] + P[5][4] * SK_TAS[1] - P[5][23] * SK_TAS[1] +
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P[5][5] * vd * SH_TAS[0]);
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Kfusion[6] = SK_TAS[0] * (P[6][3] * SH_TAS[2] - P[6][22] * SH_TAS[2] + P[6][4] * SK_TAS[1] - P[6][23] * SK_TAS[1] +
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P[6][5] * vd * SH_TAS[0]);
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Kfusion[7] = SK_TAS[0] * (P[7][3] * SH_TAS[2] - P[7][22] * SH_TAS[2] + P[7][4] * SK_TAS[1] - P[7][23] * SK_TAS[1] +
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P[7][5] * vd * SH_TAS[0]);
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Kfusion[8] = SK_TAS[0] * (P[8][3] * SH_TAS[2] - P[8][22] * SH_TAS[2] + P[8][4] * SK_TAS[1] - P[8][23] * SK_TAS[1] +
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P[8][5] * vd * SH_TAS[0]);
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Kfusion[9] = SK_TAS[0] * (P[9][3] * SH_TAS[2] - P[9][22] * SH_TAS[2] + P[9][4] * SK_TAS[1] - P[9][23] * SK_TAS[1] +
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P[9][5] * vd * SH_TAS[0]);
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Kfusion[10] = SK_TAS[0] * (P[10][3] * SH_TAS[2] - P[10][22] * SH_TAS[2] + P[10][4] * SK_TAS[1] - P[10][23] * SK_TAS[1] +
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P[10][5] * vd * SH_TAS[0]);
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Kfusion[11] = SK_TAS[0] * (P[11][3] * SH_TAS[2] - P[11][22] * SH_TAS[2] + P[11][4] * SK_TAS[1] - P[11][23] * SK_TAS[1] +
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P[11][5] * vd * SH_TAS[0]);
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Kfusion[12] = SK_TAS[0] * (P[12][3] * SH_TAS[2] - P[12][22] * SH_TAS[2] + P[12][4] * SK_TAS[1] - P[12][23] * SK_TAS[1] +
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P[12][5] * vd * SH_TAS[0]);
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Kfusion[13] = SK_TAS[0] * (P[13][3] * SH_TAS[2] - P[13][22] * SH_TAS[2] + P[13][4] * SK_TAS[1] - P[13][23] * SK_TAS[1] +
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P[13][5] * vd * SH_TAS[0]);
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Kfusion[14] = SK_TAS[0] * (P[14][3] * SH_TAS[2] - P[14][22] * SH_TAS[2] + P[14][4] * SK_TAS[1] - P[14][23] * SK_TAS[1] +
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P[14][5] * vd * SH_TAS[0]);
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Kfusion[15] = SK_TAS[0] * (P[15][3] * SH_TAS[2] - P[15][22] * SH_TAS[2] + P[15][4] * SK_TAS[1] - P[15][23] * SK_TAS[1] +
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P[15][5] * vd * SH_TAS[0]);
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Kfusion[22] = SK_TAS[0] * (P[22][3] * SH_TAS[2] - P[22][22] * SH_TAS[2] + P[22][4] * SK_TAS[1] - P[22][23] * SK_TAS[1] +
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P[22][5] * vd * SH_TAS[0]);
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Kfusion[23] = SK_TAS[0] * (P[23][3] * SH_TAS[2] - P[23][22] * SH_TAS[2] + P[23][4] * SK_TAS[1] - P[23][23] * SK_TAS[1] +
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P[23][5] * vd * SH_TAS[0]);
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// Only update the magnetometer states if we are airborne and using 3D mag fusion
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if(_control_status.flags.mag_3D && _control_status.flags.in_air){
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Kfusion[16] = SK_TAS[0]*(P[16][3]*SH_TAS[2] - P[16][22]*SH_TAS[2] + P[16][4]*SK_TAS[1] - P[16][23]*SK_TAS[1] + P[16][5]*vd*SH_TAS[0]);
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Kfusion[17] = SK_TAS[0]*(P[17][3]*SH_TAS[2] - P[17][22]*SH_TAS[2] + P[17][4]*SK_TAS[1] - P[17][23]*SK_TAS[1] + P[17][5]*vd*SH_TAS[0]);
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Kfusion[18] = SK_TAS[0]*(P[18][3]*SH_TAS[2] - P[18][22]*SH_TAS[2] + P[18][4]*SK_TAS[1] - P[18][23]*SK_TAS[1] + P[18][5]*vd*SH_TAS[0]);
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Kfusion[19] = SK_TAS[0]*(P[19][3]*SH_TAS[2] - P[19][22]*SH_TAS[2] + P[19][4]*SK_TAS[1] - P[19][23]*SK_TAS[1] + P[19][5]*vd*SH_TAS[0]);
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Kfusion[20] = SK_TAS[0]*(P[20][3]*SH_TAS[2] - P[20][22]*SH_TAS[2] + P[20][4]*SK_TAS[1] - P[20][23]*SK_TAS[1] + P[20][5]*vd*SH_TAS[0]);
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Kfusion[21] = SK_TAS[0]*(P[21][3]*SH_TAS[2] - P[21][22]*SH_TAS[2] + P[21][4]*SK_TAS[1] - P[21][23]*SK_TAS[1] + P[21][5]*vd*SH_TAS[0]);
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}
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else{
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for (int i = 16; i <= 21; i++)
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{
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if (_control_status.flags.mag_3D && _control_status.flags.in_air) {
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Kfusion[16] = SK_TAS[0] * (P[16][3] * SH_TAS[2] - P[16][22] * SH_TAS[2] + P[16][4] * SK_TAS[1] - P[16][23] * SK_TAS[1] +
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P[16][5] * vd * SH_TAS[0]);
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Kfusion[17] = SK_TAS[0] * (P[17][3] * SH_TAS[2] - P[17][22] * SH_TAS[2] + P[17][4] * SK_TAS[1] - P[17][23] * SK_TAS[1] +
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P[17][5] * vd * SH_TAS[0]);
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Kfusion[18] = SK_TAS[0] * (P[18][3] * SH_TAS[2] - P[18][22] * SH_TAS[2] + P[18][4] * SK_TAS[1] - P[18][23] * SK_TAS[1] +
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P[18][5] * vd * SH_TAS[0]);
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Kfusion[19] = SK_TAS[0] * (P[19][3] * SH_TAS[2] - P[19][22] * SH_TAS[2] + P[19][4] * SK_TAS[1] - P[19][23] * SK_TAS[1] +
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P[19][5] * vd * SH_TAS[0]);
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Kfusion[20] = SK_TAS[0] * (P[20][3] * SH_TAS[2] - P[20][22] * SH_TAS[2] + P[20][4] * SK_TAS[1] - P[20][23] * SK_TAS[1] +
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P[20][5] * vd * SH_TAS[0]);
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Kfusion[21] = SK_TAS[0] * (P[21][3] * SH_TAS[2] - P[21][22] * SH_TAS[2] + P[21][4] * SK_TAS[1] - P[21][23] * SK_TAS[1] +
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P[21][5] * vd * SH_TAS[0]);
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} else {
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for (int i = 16; i <= 21; i++) {
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Kfusion[i] = 0.0f;
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}
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}
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// calculate measurement innovation
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_airspeed_innov = v_tas_pred - _airspeed_sample_delayed.true_airspeed;
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_airspeed_innov = v_tas_pred -
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_airspeed_sample_delayed.true_airspeed; // This is TAS, maybe we should indicate that in some way
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// Calculate the innovation variance
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_airspeed_innov_var = 1.0f / SK_TAS[0];
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@ -142,42 +173,53 @@ void Ekf::fuseAirspeed()
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// Compute the ratio of innovation to gate size
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_tas_test_ratio = sq(_airspeed_innov) / (sq(fmaxf(_params.tas_innov_gate, 1.0f)) * _airspeed_innov_var);
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if (_tas_test_ratio < 1.0f)
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{
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// by definition the angle error state is zero at the fusion time
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_state.ang_error.setZero();
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// if the innocation consistency check fails then don't fuse the sample and indicate bad airspeed health
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if (_tas_test_ratio > 1.0f) {
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_airspeed_healthy = false;
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return;
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}
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// Fuse airspeed measurement
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fuse(Kfusion, _airspeed_innov);
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// airspeed measurement sample has passed check so record it
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_time_last_arsp_fuse = _time_last_imu;
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// correct the nominal quaternion
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Quaternion dq;
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dq.from_axis_angle(_state.ang_error);
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_state.quat_nominal = dq * _state.quat_nominal;
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_state.quat_nominal.normalize();
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for (unsigned row = 0; row < _k_num_states; row++) {
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for (unsigned column = 0; column < _k_num_states; column++) { // Here it will be a lot of zeros, should optimize that...
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KH[row][column] = Kfusion[row] * H_TAS[column];
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}
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// by definition the angle error state is zero at the fusion time
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_state.ang_error.setZero();
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// Fuse airspeed measurement
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fuse(Kfusion, _airspeed_innov); //Why calculate angle error when it is always zero?
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// correct the nominal quaternion
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Quaternion dq;
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dq.from_axis_angle(_state.ang_error);
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_state.quat_nominal = dq * _state.quat_nominal;
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_state.quat_nominal.normalize();
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// update covariance matrix via Pnew = (I - KH)P = P - KHP
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float KH[_k_num_states][_k_num_states] = {};
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float KHP[_k_num_states][_k_num_states] = {};
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for (unsigned row = 0; row < _k_num_states; row++) {
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for (unsigned column = 0; column < _k_num_states; column++) { // Here it will be a lot of zeros, should optimize that...
|
||||
KH[row][column] = Kfusion[row] * H_TAS[column];
|
||||
}
|
||||
}
|
||||
|
||||
for (unsigned row = 0; row < _k_num_states; row++) {
|
||||
for (unsigned column = 0; column < _k_num_states; column++) {
|
||||
for (unsigned i = 0; i < _k_num_states; i++) { // Check if this is correct matrix multiplication!
|
||||
KHP[row][column] += KH[row][i] * P[i][column];
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
for (unsigned row = 0; row < _k_num_states; row++) {
|
||||
for (unsigned column = 0; column < _k_num_states; column++) {
|
||||
P[row][column] = P[row][column] - KHP[row][column];
|
||||
for (unsigned row = 0; row < _k_num_states; row++) {
|
||||
for (unsigned column = 0; column < _k_num_states; column++) {
|
||||
for (unsigned i = 0; i < _k_num_states; i++) { // Check if this is correct matrix multiplication!
|
||||
KHP[row][column] += KH[row][i] * P[i][column];
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
makeSymmetrical();
|
||||
for (unsigned row = 0; row < _k_num_states; row++) {
|
||||
for (unsigned column = 0; column < _k_num_states; column++) {
|
||||
P[row][column] = P[row][column] - KHP[row][column];
|
||||
}
|
||||
}
|
||||
|
||||
makeSymmetrical();
|
||||
limitCov();
|
||||
}
|
||||
}
|
||||
@ -113,6 +113,7 @@ struct rangeSample {
|
||||
|
||||
struct airspeedSample {
|
||||
float true_airspeed; // true airspeed measurement in m/s
|
||||
float eas2tas; // equivalent to true airspeed factor
|
||||
uint64_t time_us; // timestamp in microseconds
|
||||
};
|
||||
|
||||
|
||||
@ -43,6 +43,8 @@
|
||||
|
||||
void Ekf::controlFusionModes()
|
||||
{
|
||||
// Store the status to enable change detection
|
||||
_control_status_prev.value = _control_status.value;
|
||||
// Determine the vehicle status
|
||||
calculateVehicleStatus();
|
||||
|
||||
@ -339,14 +341,13 @@ void Ekf::controlFusionModes()
|
||||
_control_status.flags.rng_hgt = true;
|
||||
}
|
||||
|
||||
// Placeholder for control of wind velocity states estimation
|
||||
// TODO add methods for true airspeed and/or sidelsip fusion or some type of drag force measurement
|
||||
if (false) {
|
||||
// if the airspeed measurements have timed out for 10 seconds we declare the wind estimate to be invalid
|
||||
if (_time_last_imu - _time_last_arsp_fuse > 10e6 || _time_last_arsp_fuse == 0) {
|
||||
_control_status.flags.wind = false;
|
||||
} else {
|
||||
_control_status.flags.wind = true;
|
||||
}
|
||||
|
||||
// Store the status to enable change detection
|
||||
_control_status_prev.value = _control_status.value;
|
||||
}
|
||||
|
||||
void Ekf::calculateVehicleStatus()
|
||||
|
||||
@ -172,7 +172,7 @@ void Ekf::predictCovariance()
|
||||
float wind_vel_sig;
|
||||
|
||||
// Don't continue to grow wind velocity state variances if they are becoming too large or we are not using wind velocity states as this can make the covariance matrix badly conditioned
|
||||
if (_control_status.flags.wind && (P[22][22] + P[22][22]) < 1000.0f) {
|
||||
if (_control_status.flags.wind && (P[22][22] + P[23][23]) < 1000.0f) {
|
||||
wind_vel_sig = dt * math::constrain(_params.wind_vel_p_noise, 0.0f, 1.0f);
|
||||
|
||||
} else {
|
||||
@ -641,10 +641,47 @@ void Ekf::predictCovariance()
|
||||
|
||||
// Don't do covariance prediction on wind states unless we are using them
|
||||
if (_control_status.flags.wind) {
|
||||
// Check if we have jsut transitioned to using wind states and set the variances accordingly
|
||||
if (!_control_status_prev.flags.mag_3D) {
|
||||
// Check if we have just transitioned to using wind states and set the variances accordingly
|
||||
if (!_control_status_prev.flags.wind) {
|
||||
// simple initialisation of wind states: calculate wind component along the forward axis
|
||||
// of the plane.
|
||||
|
||||
matrix::Euler<float> euler(_output_new.quat_nominal);
|
||||
float heading = euler(2);
|
||||
|
||||
// ground speed component in the xy plane projected onto the directon the plane is heading to
|
||||
float ground_speed_xy_nose = _output_new.vel(0) * cosf(heading) + _output_new.vel(1) * sinf(heading);
|
||||
airspeedSample tmp = _airspeed_buffer.get_newest();
|
||||
float airspeed = tmp.true_airspeed;
|
||||
|
||||
// check if the calculation is well conditioned:
|
||||
// our airspeed measurement is at least as hight as our down velocity and the plane is moving forward
|
||||
if (airspeed > fabsf(_output_new.vel(2)) && ground_speed_xy_nose > 0) {
|
||||
|
||||
float ground_speed = sqrtf(_output_new.vel(0) * _output_new.vel(0) + _output_new.vel(1) * _output_new.vel(1) + _output_new.vel(2) * _output_new.vel(2));
|
||||
|
||||
// wind magnitude in the direction the plane is
|
||||
float wind_magnitude = ground_speed_xy_nose - sqrtf(airspeed * airspeed - _output_new.vel(2) * _output_new.vel(2));
|
||||
|
||||
// determine direction of wind
|
||||
float wind_sign = 1;
|
||||
if (airspeed < ground_speed) {
|
||||
// wind is in nose direction
|
||||
wind_sign = 1;
|
||||
} else {
|
||||
wind_sign = -1;
|
||||
}
|
||||
|
||||
_state.wind_vel(0) = cosf(heading) * wind_magnitude * wind_sign;
|
||||
_state.wind_vel(1) = sinf(heading) * wind_magnitude * wind_sign;
|
||||
|
||||
} else {
|
||||
// calculation is badly conditioned, just set wind states to zero
|
||||
_state.wind_vel.setZero();
|
||||
}
|
||||
|
||||
// initialise diagonal of covariance matrix for the wind velocity states
|
||||
for (uint8_t index = 22; index <= 23; index++) {
|
||||
// TODO initialise wind states using ground speed and airspeed and set initial variance using sum of ground speed and airspeed variances
|
||||
P[index][index] = sq(5.0f);
|
||||
}
|
||||
}
|
||||
@ -725,6 +762,9 @@ void Ekf::predictCovariance()
|
||||
|
||||
// copy variances (diagonals)
|
||||
for (unsigned i = 0; i < _k_num_states; i++) {
|
||||
if(!_control_status.flags.wind && i > 21) {
|
||||
continue;
|
||||
}
|
||||
P[i][i] = nextP[i][i];
|
||||
}
|
||||
|
||||
|
||||
@ -56,6 +56,7 @@ Ekf::Ekf():
|
||||
_time_last_vel_fuse(0),
|
||||
_time_last_hgt_fuse(0),
|
||||
_time_last_of_fuse(0),
|
||||
_time_last_arsp_fuse(0),
|
||||
_last_disarmed_posD(0.0f),
|
||||
_airspeed_innov(0.0f),
|
||||
_airspeed_innov_var(0.0f),
|
||||
@ -326,7 +327,7 @@ bool Ekf::update()
|
||||
}
|
||||
|
||||
// TODO This is just to get the logic inside but we will only start fusion once we tested this again
|
||||
if (_airspeed_buffer.pop_first_older_than(_imu_sample_delayed.time_us, &_airspeed_sample_delayed) && false) {
|
||||
if (_airspeed_buffer.pop_first_older_than(_imu_sample_delayed.time_us, &_airspeed_sample_delayed)) {
|
||||
fuseAirspeed();
|
||||
}
|
||||
}
|
||||
|
||||
@ -147,6 +147,7 @@ private:
|
||||
uint64_t _time_last_vel_fuse; // time the last fusion of velocity measurements was performed (usec)
|
||||
uint64_t _time_last_hgt_fuse; // time the last fusion of height measurements was performed (usec)
|
||||
uint64_t _time_last_of_fuse; // time the last fusion of optical flow measurements were performed (usec)
|
||||
uint64_t _time_last_arsp_fuse; // time the last fusion of airspeed measurements were performed (usec)
|
||||
Vector2f _last_known_posNE; // last known local NE position vector (m)
|
||||
float _last_disarmed_posD; // vertical position recorded at arming (m)
|
||||
|
||||
|
||||
@ -59,6 +59,7 @@ EstimatorInterface::EstimatorInterface():
|
||||
_gps_origin_eph(0.0f),
|
||||
_gps_origin_epv(0.0f),
|
||||
_mag_healthy(false),
|
||||
_airspeed_healthy(false),
|
||||
_yaw_test_ratio(0.0f),
|
||||
_time_last_imu(0),
|
||||
_time_last_gps(0),
|
||||
@ -200,15 +201,16 @@ void EstimatorInterface::setBaroData(uint64_t time_usec, float *data)
|
||||
}
|
||||
}
|
||||
|
||||
void EstimatorInterface::setAirspeedData(uint64_t time_usec, float *data)
|
||||
void EstimatorInterface::setAirspeedData(uint64_t time_usec, float *true_airspeed, float *eas2tas)
|
||||
{
|
||||
if (!collect_airspeed(time_usec, data) || !_initialised) {
|
||||
if (!collect_airspeed(time_usec, true_airspeed, eas2tas) || !_initialised) {
|
||||
return;
|
||||
}
|
||||
|
||||
if (time_usec - _time_last_airspeed > 80000) {
|
||||
airspeedSample airspeed_sample_new;
|
||||
airspeed_sample_new.true_airspeed = *data;
|
||||
airspeed_sample_new.true_airspeed = *true_airspeed;
|
||||
airspeed_sample_new.eas2tas = *eas2tas;
|
||||
airspeed_sample_new.time_us = time_usec - _params.airspeed_delay_ms * 1000;
|
||||
airspeed_sample_new.time_us -= FILTER_UPDATE_PERRIOD_MS * 1000 / 2; //typo PeRRiod
|
||||
_time_last_airspeed = time_usec;
|
||||
|
||||
@ -117,7 +117,7 @@ public:
|
||||
|
||||
virtual bool collect_baro(uint64_t time_usec, float *data) { return true; }
|
||||
|
||||
virtual bool collect_airspeed(uint64_t time_usec, float *data) { return true; }
|
||||
virtual bool collect_airspeed(uint64_t time_usec, float *true_airspeed, float *eas2tas) { return true; }
|
||||
|
||||
virtual bool collect_range(uint64_t time_usec, float *data) { return true; }
|
||||
|
||||
@ -137,7 +137,7 @@ public:
|
||||
void setBaroData(uint64_t time_usec, float *data);
|
||||
|
||||
// set airspeed data
|
||||
void setAirspeedData(uint64_t time_usec, float *data);
|
||||
void setAirspeedData(uint64_t time_usec, float *true_airspeed, float *eas2tas);
|
||||
|
||||
// set range data
|
||||
void setRangeData(uint64_t time_usec, float *data);
|
||||
@ -250,6 +250,7 @@ protected:
|
||||
struct map_projection_reference_s _pos_ref = {}; // Contains WGS-84 position latitude and longitude (radians)
|
||||
|
||||
bool _mag_healthy; // computed by mag innovation test
|
||||
float _airspeed_healthy; // computed by airspeed innovation test
|
||||
float _yaw_test_ratio; // yaw innovation consistency check ratio
|
||||
float _mag_test_ratio[3]; // magnetometer XYZ innovation consistency check ratios
|
||||
float _vel_pos_test_ratio[6]; // velocity and position innovation consistency check ratios
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user