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https://gitee.com/mirrors_PX4/PX4-Autopilot.git
synced 2026-05-16 16:17:36 +08:00
ekf2: new EKF2_IMU_CTRL parameter and gyro bias inhibit mechanism
- EKF2_AID_MASK accel bias inhibit moves to EKF2_IMU_CTRL
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@@ -126,6 +126,11 @@ enum class PositionSensor : uint8_t {
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EV = 2,
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};
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enum class ImuCtrl : uint8_t {
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GyroBias = (1<<0),
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AccelBias = (1<<1),
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};
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enum GnssCtrl : uint8_t {
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HPOS = (1<<0),
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VPOS = (1<<1),
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@@ -150,7 +155,7 @@ enum SensorFusionMask : uint16_t {
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// Bit locations for fusion_mode
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DEPRECATED_USE_GPS = (1<<0), ///< set to true to use GPS data (DEPRECATED, use gnss_ctrl)
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USE_OPT_FLOW = (1<<1), ///< set to true to use optical flow data
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INHIBIT_ACC_BIAS = (1<<2), ///< set to true to inhibit estimation of accelerometer delta velocity bias
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DEPRECATED_INHIBIT_ACC_BIAS = (1<<2), ///< set to true to inhibit estimation of accelerometer delta velocity bias
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DEPRECATED_USE_EXT_VIS_POS = (1<<3), ///< set to true to use external vision position data
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DEPRECATED_USE_EXT_VIS_YAW = (1<<4), ///< set to true to use external vision quaternion data for yaw
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USE_DRAG = (1<<5), ///< set to true to use the multi-rotor drag model to estimate wind
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@@ -279,6 +284,8 @@ struct parameters {
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int32_t filter_update_interval_us{10000}; ///< filter update interval in microseconds
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int32_t imu_ctrl{static_cast<int32_t>(ImuCtrl::GyroBias) | static_cast<int32_t>(ImuCtrl::AccelBias)};
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// measurement source control
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int32_t fusion_mode{}; ///< bitmasked integer that selects some aiding sources
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int32_t height_sensor_ref{HeightSensor::BARO};
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@@ -81,9 +81,9 @@ void Ekf::initialiseCovariance()
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}
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// gyro bias
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P(10,10) = sq(_params.switch_on_gyro_bias * dt);
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P(11,11) = P(10,10);
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P(12,12) = P(10,10);
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_prev_delta_ang_bias_var(0) = P(10,10) = sq(_params.switch_on_gyro_bias * dt);
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_prev_delta_ang_bias_var(1) = P(11,11) = P(10,10);
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_prev_delta_ang_bias_var(2) = P(12,12) = P(10,10);
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// accel bias
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_prev_dvel_bias_var(0) = P(13,13) = sq(_params.switch_on_accel_bias * dt);
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@@ -121,7 +121,36 @@ void Ekf::predictCovariance(const imuSample &imu_delayed)
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const bool is_manoeuvre_level_high = _ang_rate_magnitude_filt > _params.acc_bias_learn_gyr_lim
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|| _accel_magnitude_filt > _params.acc_bias_learn_acc_lim;
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const bool do_inhibit_all_axes = (_params.fusion_mode & SensorFusionMask::INHIBIT_ACC_BIAS)
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// gyro bias inhibit
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const bool do_inhibit_all_gyro_axes = !(_params.imu_ctrl & static_cast<int32_t>(ImuCtrl::GyroBias));
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for (unsigned stateIndex = 10; stateIndex <= 12; stateIndex++) {
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const unsigned index = stateIndex - 10;
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bool is_bias_observable = true;
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// TODO: gyro bias conditions
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const bool do_inhibit_axis = do_inhibit_all_gyro_axes || !is_bias_observable;
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if (do_inhibit_axis) {
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// store the bias state variances to be reinstated later
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if (!_gyro_bias_inhibit[index]) {
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_prev_delta_ang_bias_var(index) = P(stateIndex, stateIndex);
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_gyro_bias_inhibit[index] = true;
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}
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} else {
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if (_gyro_bias_inhibit[index]) {
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// reinstate the bias state variances
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P(stateIndex, stateIndex) = _prev_delta_ang_bias_var(index);
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_gyro_bias_inhibit[index] = false;
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}
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}
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}
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// accel bias inhibit
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const bool do_inhibit_all_accel_axes = !(_params.imu_ctrl & static_cast<int32_t>(ImuCtrl::AccelBias))
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|| is_manoeuvre_level_high
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|| _fault_status.flags.bad_acc_vertical;
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@@ -141,7 +170,7 @@ void Ekf::predictCovariance(const imuSample &imu_delayed)
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is_bias_observable = (fabsf(_R_to_earth(2, index)) > 0.966f); // cos 15 degrees ~= 0.966
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}
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const bool do_inhibit_axis = do_inhibit_all_axes || imu_delayed.delta_vel_clipping[index] || !is_bias_observable;
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const bool do_inhibit_axis = do_inhibit_all_accel_axes || imu_delayed.delta_vel_clipping[index] || !is_bias_observable;
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if (do_inhibit_axis) {
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// store the bias state variances to be reinstated later
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@@ -239,7 +268,17 @@ void Ekf::predictCovariance(const imuSample &imu_delayed)
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// the variances, therefore use algorithm to minimise numerical error
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for (unsigned i = 10; i <= 12; i++) {
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const int index = i - 10;
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nextP(i, i) = kahanSummation(nextP(i, i), process_noise(i), _delta_angle_bias_var_accum(index));
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if (!_gyro_bias_inhibit[index]) {
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// add process noise that is not from the IMU
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// process noise contribution for delta velocity states can be very small compared to
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// the variances, therefore use algorithm to minimise numerical error
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nextP(i, i) = kahanSummation(nextP(i, i), process_noise(i), _delta_angle_bias_var_accum(index));
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} else {
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nextP.uncorrelateCovarianceSetVariance<1>(i, _prev_delta_ang_bias_var(index));
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_delta_angle_bias_var_accum(index) = 0.f;
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}
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}
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for (int i = 13; i <= 15; i++) {
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@@ -329,6 +329,7 @@ public:
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float getMagBiasLimit() const { return 0.5f; } // 0.5 Gauss
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bool accel_bias_inhibited() const { return _accel_bias_inhibit[0] || _accel_bias_inhibit[1] || _accel_bias_inhibit[2]; }
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bool gyro_bias_inhibited() const { return _gyro_bias_inhibit[0] || _gyro_bias_inhibit[1] || _gyro_bias_inhibit[2]; }
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const auto &state_reset_status() const { return _state_reset_status; }
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@@ -531,8 +532,8 @@ private:
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SquareMatrix24f P{}; ///< state covariance matrix
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Vector3f _delta_vel_bias_var_accum{}; ///< kahan summation algorithm accumulator for delta velocity bias variance
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Vector3f _delta_angle_bias_var_accum{}; ///< kahan summation algorithm accumulator for delta angle bias variance
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Vector3f _delta_vel_bias_var_accum{}; ///< kahan summation algorithm accumulator for delta velocity bias variance
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Vector2f _drag_innov{}; ///< multirotor drag measurement innovation (m/sec**2)
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Vector2f _drag_innov_var{}; ///< multirotor drag measurement innovation variance ((m/sec**2)**2)
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@@ -614,9 +615,11 @@ private:
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// variables used to inhibit accel bias learning
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bool _accel_bias_inhibit[3] {}; ///< true when the accel bias learning is being inhibited for the specified axis
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bool _gyro_bias_inhibit[3] {}; ///< true when the gyro bias learning is being inhibited for the specified axis
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Vector3f _accel_vec_filt{}; ///< acceleration vector after application of a low pass filter (m/sec**2)
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float _accel_magnitude_filt{0.0f}; ///< acceleration magnitude after application of a decaying envelope filter (rad/sec)
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float _ang_rate_magnitude_filt{0.0f}; ///< angular rate magnitude after application of a decaying envelope filter (rad/sec)
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Vector3f _prev_delta_ang_bias_var{}; ///< saved delta angle XYZ bias variances (rad/sec)
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Vector3f _prev_dvel_bias_var{}; ///< saved delta velocity XYZ bias variances (m/sec)**2
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// Terrain height state estimation
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@@ -765,6 +768,12 @@ private:
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bool measurementUpdate(Vector24f &K, float innovation_variance, float innovation)
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{
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for (unsigned i = 0; i < 3; i++) {
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// gyro bias: states 10, 11, 12
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if (_gyro_bias_inhibit[i]) {
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K(10 + i) = 0.0f;
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}
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// accel bias: states 13, 14, 15
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if (_accel_bias_inhibit[i]) {
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K(13 + i) = 0.0f;
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}
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@@ -201,6 +201,12 @@ bool Ekf::fuseVelPosHeight(const float innov, const float innov_var, const int o
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}
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for (unsigned i = 0; i < 3; i++) {
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// gyro bias: states 10, 11, 12
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if (_gyro_bias_inhibit[i]) {
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Kfusion(10 + i) = 0.0f;
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}
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// accel bias: states 13, 14, 15
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if (_accel_bias_inhibit[i]) {
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Kfusion(13 + i) = 0.0f;
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}
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@@ -59,6 +59,7 @@ EKF2::EKF2(bool multi_mode, const px4::wq_config_t &config, bool replay_mode):
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_wind_pub(multi_mode ? ORB_ID(estimator_wind) : ORB_ID(wind)),
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_params(_ekf.getParamHandle()),
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_param_ekf2_predict_us(_params->filter_update_interval_us),
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_param_ekf2_imu_ctrl(_params->imu_ctrl),
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_param_ekf2_mag_delay(_params->mag_delay_ms),
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_param_ekf2_baro_delay(_params->baro_delay_ms),
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_param_ekf2_gps_delay(_params->gps_delay_ms),
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@@ -744,6 +745,27 @@ void EKF2::VerifyParams()
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events::send<float>(events::ID("ekf2_aid_mask_ev"), events::Log::Warning,
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"Use EKF2_EV_CTRL instead", _param_ekf2_aid_mask.get());
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}
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// IMU EKF2_AID_MASK -> EKF2_IMU_CTRL (2023-01-31)
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if (_param_ekf2_aid_mask.get() & SensorFusionMask::DEPRECATED_INHIBIT_ACC_BIAS) {
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// EKF2_IMU_CTRL set disable accel bias bit
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_param_ekf2_imu_ctrl.set(_param_ekf2_imu_ctrl.get() & ~(static_cast<int32_t>(ImuCtrl::AccelBias)));
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// EKF2_AID_MASK clear inhibit accel bias bit
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_param_ekf2_aid_mask.set(_param_ekf2_aid_mask.get() & ~(SensorFusionMask::DEPRECATED_INHIBIT_ACC_BIAS));
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_param_ekf2_imu_ctrl.commit();
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_param_ekf2_aid_mask.commit();
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mavlink_log_critical(&_mavlink_log_pub, "EKF2 IMU accel bias inhibit use EKF2_IMU_CTRL instead of EKF2_AID_MASK\n");
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/* EVENT
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* @description <param>EKF2_AID_MASK</param> is set to {1:.0}.
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*/
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events::send<float>(events::ID("ekf2_aid_mask_imu"), events::Log::Warning,
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"Use EKF2_IMU_CTRL instead", _param_ekf2_aid_mask.get());
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}
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}
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void EKF2::PublishAidSourceStatus(const hrt_abstime ×tamp)
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@@ -1320,7 +1342,7 @@ void EKF2::PublishSensorBias(const hrt_abstime ×tamp)
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bias.timestamp_sample = _ekf.time_delayed_us();
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// take device ids from sensor_selection_s if not using specific vehicle_imu_s
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if (_device_id_gyro != 0) {
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if ((_device_id_gyro != 0) && (_param_ekf2_imu_ctrl.get() & static_cast<int32_t>(ImuCtrl::GyroBias))) {
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bias.gyro_device_id = _device_id_gyro;
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gyro_bias.copyTo(bias.gyro_bias);
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bias.gyro_bias_limit = _ekf.getGyroBiasLimit();
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@@ -1330,7 +1352,7 @@ void EKF2::PublishSensorBias(const hrt_abstime ×tamp)
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_last_gyro_bias_published = gyro_bias;
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}
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if ((_device_id_accel != 0) && !(_param_ekf2_aid_mask.get() & SensorFusionMask::INHIBIT_ACC_BIAS)) {
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if ((_device_id_accel != 0) && (_param_ekf2_imu_ctrl.get() & static_cast<int32_t>(ImuCtrl::AccelBias))) {
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bias.accel_device_id = _device_id_accel;
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accel_bias.copyTo(bias.accel_bias);
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bias.accel_bias_limit = _ekf.getAccelBiasLimit();
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@@ -2212,7 +2234,7 @@ void EKF2::UpdateCalibration(const hrt_abstime ×tamp, InFlightCalibration &
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void EKF2::UpdateAccelCalibration(const hrt_abstime ×tamp)
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{
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// the EKF is operating in the correct mode and there are no filter faults
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const bool bias_valid = !(_param_ekf2_aid_mask.get() & SensorFusionMask::INHIBIT_ACC_BIAS)
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const bool bias_valid = (_param_ekf2_imu_ctrl.get() & static_cast<int32_t>(ImuCtrl::AccelBias))
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&& _ekf.control_status_flags().tilt_align
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&& (_ekf.fault_status().value == 0)
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&& !_ekf.fault_status_flags().bad_acc_bias
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@@ -2229,10 +2251,11 @@ void EKF2::UpdateAccelCalibration(const hrt_abstime ×tamp)
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void EKF2::UpdateGyroCalibration(const hrt_abstime ×tamp)
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{
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// the EKF is operating in the correct mode and there are no filter faults
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const bool bias_valid = _ekf.control_status_flags().tilt_align
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const bool bias_valid = (_param_ekf2_imu_ctrl.get() & static_cast<int32_t>(ImuCtrl::GyroBias))
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&& _ekf.control_status_flags().tilt_align
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&& (_ekf.fault_status().value == 0);
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const bool learning_valid = bias_valid; // TODO
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const bool learning_valid = bias_valid && !_ekf.gyro_bias_inhibited();
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UpdateCalibration(timestamp, _gyro_cal, _ekf.getGyroBias(), _ekf.getGyroBiasVariance(), _ekf.getGyroBiasLimit(),
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bias_valid, learning_valid);
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@@ -397,6 +397,8 @@ private:
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DEFINE_PARAMETERS(
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(ParamExtInt<px4::params::EKF2_PREDICT_US>) _param_ekf2_predict_us,
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(ParamExtInt<px4::params::EKF2_IMU_CTRL>) _param_ekf2_imu_ctrl,
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(ParamExtFloat<px4::params::EKF2_MAG_DELAY>)
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_param_ekf2_mag_delay, ///< magnetometer measurement delay relative to the IMU (mSec)
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(ParamExtFloat<px4::params::EKF2_BARO_DELAY>)
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@@ -52,6 +52,17 @@
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*/
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PARAM_DEFINE_INT32(EKF2_PREDICT_US, 10000);
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/**
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* IMU control
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*
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* @group EKF2
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* @min 0
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* @max 3
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* @bit 0 Gyro Bias
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* @bit 1 Accel Bias
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*/
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PARAM_DEFINE_INT32(EKF2_IMU_CTRL, 3);
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/**
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* Magnetometer measurement delay relative to IMU measurements
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*
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@@ -602,7 +613,7 @@ PARAM_DEFINE_FLOAT(EKF2_TAS_GATE, 3.0f);
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* Set bits in the following positions to enable:
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* 0 : Deprecated, use EKF2_GPS_CTRL instead
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* 1 : Set to true to use optical flow data if available
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* 2 : Set to true to inhibit IMU delta velocity bias estimation
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* 2 : Deprecated, use EKF2_IMU_CTRL instead
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* 3 : Deprecated, use EKF2_EV_CTRL instead
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* 4 : Deprecated, use EKF2_EV_CTRL instead
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* 5 : Set to true to enable multi-rotor drag specific force fusion
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@@ -615,7 +626,7 @@ PARAM_DEFINE_FLOAT(EKF2_TAS_GATE, 3.0f);
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* @max 511
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* @bit 0 unused
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* @bit 1 use optical flow
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* @bit 2 inhibit IMU bias estimation
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* @bit 2 unused
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* @bit 3 unused
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* @bit 4 unused
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* @bit 5 multi-rotor drag fusion
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