ekf2: push mag cal reset to delayed time horizon

This commit is contained in:
Daniel Agar
2022-12-13 10:24:02 -05:00
parent 57b82af3a0
commit 805ffa9d0b
5 changed files with 32 additions and 34 deletions
+1
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@@ -205,6 +205,7 @@ struct gpsSample {
struct magSample {
uint64_t time_us{}; ///< timestamp of the measurement (uSec)
Vector3f mag{}; ///< NED magnetometer body frame measurements (Gauss)
bool reset{false}; ///< magnetometer changed (different sensor or calibration change)
};
struct baroSample {
-4
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@@ -239,10 +239,6 @@ public:
void resetGyroBias();
void resetAccelBias();
// Reset all magnetometer bias states and covariances to initial alignment values.
// Requests full mag yaw reset (if using mag)
void resetMagBiasAndYaw();
Vector3f getVelocityVariance() const { return P.slice<3, 3>(4, 4).diag(); };
Vector3f getPositionVariance() const { return P.slice<3, 3>(7, 7).diag(); }
+6 -24
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@@ -735,27 +735,6 @@ void Ekf::resetAccelBias()
_prev_dvel_bias_var = P.slice<3, 3>(13, 13).diag();
}
void Ekf::resetMagBiasAndYaw()
{
// Zero the magnetometer bias states
_state.mag_B.zero();
// Zero the corresponding covariances and set
// variances to the values use for initial alignment
P.uncorrelateCovarianceSetVariance<3>(19, sq(_params.mag_noise));
// reset any saved covariance data for re-use when auto-switching between heading and 3-axis fusion
_saved_mag_bf_variance.zero();
if (_control_status.flags.mag_hdg || _control_status.flags.mag_3D) {
_mag_yaw_reset_req = true;
}
_control_status.flags.mag_fault = false;
_mag_counter = 0;
}
// get EKF innovation consistency check status information comprising of:
// status - a bitmask integer containing the pass/fail status for each EKF measurement innovation consistency check
// Innovation Test Ratios - these are the ratio of the innovation to the acceptance threshold.
@@ -1112,9 +1091,12 @@ void Ekf::initialiseQuatCovariances(Vector3f &rot_vec_var)
void Ekf::stopMagFusion()
{
stopMag3DFusion();
stopMagHdgFusion();
clearMagCov();
if (_control_status.flags.mag_hdg || _control_status.flags.mag_3D) {
ECL_INFO("stopping mag fusion");
stopMag3DFusion();
stopMagHdgFusion();
clearMagCov();
}
}
void Ekf::stopMag3DFusion()
+23 -3
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@@ -49,8 +49,28 @@ void Ekf::controlMagFusion()
mag_data_ready = _mag_buffer->pop_first_older_than(_imu_sample_delayed.time_us, &mag_sample);
if (mag_data_ready) {
_mag_lpf.update(mag_sample.mag);
_mag_counter++;
// sensor or calibration has changed, clear any mag bias and reset low pass filter
if (mag_sample.reset) {
// Zero the magnetometer bias states
_state.mag_B.zero();
// Zero the corresponding covariances and set
// variances to the values use for initial alignment
P.uncorrelateCovarianceSetVariance<3>(19, sq(_params.mag_noise));
// reset any saved covariance data for re-use when auto-switching between heading and 3-axis fusion
_saved_mag_bf_variance.zero();
_control_status.flags.mag_fault = false;
_mag_lpf.reset(mag_sample.mag);
_mag_counter = 1;
} else {
_mag_lpf.update(mag_sample.mag);
_mag_counter++;
}
// if enabled, use knowledge of theoretical magnetic field vector to calculate a synthetic magnetomter Z component value.
// this is useful if there is a lot of interference on the sensor measurement.
@@ -134,7 +154,7 @@ void Ekf::controlMagFusion()
const bool mag_enabled = _control_status.flags.mag_hdg || _control_status.flags.mag_3D;
if (!mag_enabled_previously && mag_enabled) {
if ((!mag_enabled_previously && mag_enabled) || mag_sample.reset) {
_mag_yaw_reset_req = true;
}
+2 -3
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@@ -1972,7 +1972,7 @@ void EKF2::UpdateMagSample(ekf2_timestamps_s &ekf2_timestamps)
// check if magnetometer has changed
if (magnetometer.device_id != _device_id_mag) {
if (_device_id_mag != 0) {
PX4_WARN("%d - mag sensor ID changed %" PRIu32 " -> %" PRIu32, _instance, _device_id_mag, magnetometer.device_id);
PX4_DEBUG("%d - mag sensor ID changed %" PRIu32 " -> %" PRIu32, _instance, _device_id_mag, magnetometer.device_id);
}
reset = true;
@@ -1984,7 +1984,6 @@ void EKF2::UpdateMagSample(ekf2_timestamps_s &ekf2_timestamps)
}
if (reset) {
_ekf.resetMagBiasAndYaw();
_device_id_mag = magnetometer.device_id;
_mag_calibration_count = magnetometer.calibration_count;
@@ -1992,7 +1991,7 @@ void EKF2::UpdateMagSample(ekf2_timestamps_s &ekf2_timestamps)
_mag_cal = {};
}
_ekf.setMagData(magSample{magnetometer.timestamp_sample, Vector3f{magnetometer.magnetometer_ga}});
_ekf.setMagData(magSample{magnetometer.timestamp_sample, Vector3f{magnetometer.magnetometer_ga}, reset});
ekf2_timestamps.vehicle_magnetometer_timestamp_rel = (int16_t)((int64_t)magnetometer.timestamp / 100 -
(int64_t)ekf2_timestamps.timestamp / 100);