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EKF: add mag bias reset helper and update IMU bias reset to match (#924)
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@ -92,9 +92,6 @@ void Ekf::initialiseCovariance()
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_prev_dvel_bias_var(1) = P(14,14) = P(13,13);
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_prev_dvel_bias_var(2) = P(15,15) = P(13,13);
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// record IMU bias state covariance reset time - used to prevent resets being performed too often
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_last_imu_bias_cov_reset_us = _imu_sample_delayed.time_us;
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resetMagCov();
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// wind
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25
EKF/ekf.h
25
EKF/ekf.h
@ -165,12 +165,13 @@ public:
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// get the vehicle control limits required by the estimator to keep within sensor limitations
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void get_ekf_ctrl_limits(float *vxy_max, float *vz_max, float *hagl_min, float *hagl_max) const;
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/*
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Reset all IMU bias states and covariances to initial alignment values.
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Use when the IMU sensor has changed.
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Returns true if reset performed, false if rejected due to less than 10 seconds lapsed since last reset.
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*/
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bool reset_imu_bias();
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// Reset all IMU bias states and covariances to initial alignment values.
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void resetImuBias();
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void resetGyroBias();
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void resetAccelBias();
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// Reset all magnetometer bias states and covariances to initial alignment values.
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void resetMagBias();
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Vector3f getVelocityVariance() const { return P.slice<3, 3>(4, 4).diag(); };
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@ -208,11 +209,13 @@ public:
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// get the terrain variance
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float get_terrain_var() const { return _terrain_var; }
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// get the accelerometer bias in m/s**2
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Vector3f getAccelBias() const { return _state.delta_vel_bias / _dt_ekf_avg; }
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Vector3f getGyroBias() const { return _state.delta_ang_bias / _dt_ekf_avg; } // get the gyroscope bias in rad/s
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Vector3f getAccelBias() const { return _state.delta_vel_bias / _dt_ekf_avg; } // get the accelerometer bias in m/s**2
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const Vector3f& getMagBias() const { return _state.mag_B; }
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// get the gyroscope bias in rad/s
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Vector3f getGyroBias() const { return _state.delta_ang_bias / _dt_ekf_avg; }
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Vector3f getGyroBiasVariance() const { return Vector3f{P(10, 10), P(11, 11), P(12, 12)} / _dt_ekf_avg; } // get the gyroscope bias variance in rad/s
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Vector3f getAccelBiasVariance() const { return Vector3f{P(13, 13), P(14, 14), P(15, 15)} / _dt_ekf_avg; } // get the accelerometer bias variance in m/s**2
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Vector3f getMagBiasVariance() const { return Vector3f{P(19, 19), P(20, 20), P(21, 21)}; }
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// get GPS check status
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void get_gps_check_status(uint16_t *val) const { *val = _gps_check_fail_status.value; }
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@ -354,8 +357,6 @@ private:
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uint64_t _time_acc_bias_check{0}; ///< last time the accel bias check passed (uSec)
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uint64_t _delta_time_baro_us{0}; ///< delta time between two consecutive delayed baro samples from the buffer (uSec)
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uint64_t _last_imu_bias_cov_reset_us{0}; ///< time the last reset of IMU delta angle and velocity state covariances was performed (uSec)
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Vector3f _earth_rate_NED; ///< earth rotation vector (NED) in rad/s
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Dcmf _R_to_earth; ///< transformation matrix from body frame to earth frame from last EKF prediction
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@ -845,26 +845,49 @@ void Ekf::get_ekf_ctrl_limits(float *vxy_max, float *vz_max, float *hagl_min, fl
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}
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}
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bool Ekf::reset_imu_bias()
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void Ekf::resetImuBias()
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{
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if (_imu_sample_delayed.time_us - _last_imu_bias_cov_reset_us < (uint64_t)10e6) {
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return false;
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}
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resetGyroBias();
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resetAccelBias();
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}
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void Ekf::resetGyroBias()
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{
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// Zero the delta angle and delta velocity bias states
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_state.delta_ang_bias.zero();
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_state.delta_vel_bias.zero();
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// Zero the corresponding covariances and set
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// variances to the values use for initial alignment
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P.uncorrelateCovarianceSetVariance<3>(10, sq(_params.switch_on_gyro_bias * FILTER_UPDATE_PERIOD_S));
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}
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void Ekf::resetAccelBias()
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{
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// Zero the delta angle and delta velocity bias states
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_state.delta_vel_bias.zero();
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// Zero the corresponding covariances and set
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// variances to the values use for initial alignment
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P.uncorrelateCovarianceSetVariance<3>(13, sq(_params.switch_on_accel_bias * FILTER_UPDATE_PERIOD_S));
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_last_imu_bias_cov_reset_us = _imu_sample_delayed.time_us;
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// Set previous frame values
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_prev_dvel_bias_var = P.slice<3, 3>(13, 13).diag();
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}
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return true;
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void Ekf::resetMagBias()
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{
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// Zero the magnetometer bias states
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_state.mag_B.zero();
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// Zero the corresponding covariances and set
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// variances to the values use for initial alignment
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P.uncorrelateCovarianceSetVariance<3>(19, sq(_params.mag_noise));
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// reset any saved covariance data for re-use when auto-switching between heading and 3-axis fusion
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// _saved_mag_bf_variance[0] is the the D earth axis
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_saved_mag_bf_variance[1] = 0;
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_saved_mag_bf_variance[2] = 0;
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_saved_mag_bf_variance[3] = 0;
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}
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// get EKF innovation consistency check status information comprising of:
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