ekf2: new EKF2_IMU_CTRL parameter and gyro bias inhibit mechanism

- EKF2_AID_MASK accel bias inhibit moves to EKF2_IMU_CTRL
This commit is contained in:
Daniel Agar
2023-02-03 09:52:24 -05:00
committed by GitHub
parent f668ea5aa6
commit 264a99fb77
7 changed files with 112 additions and 15 deletions
+8 -1
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@@ -126,6 +126,11 @@ enum class PositionSensor : uint8_t {
EV = 2,
};
enum class ImuCtrl : uint8_t {
GyroBias = (1<<0),
AccelBias = (1<<1),
};
enum GnssCtrl : uint8_t {
HPOS = (1<<0),
VPOS = (1<<1),
@@ -150,7 +155,7 @@ enum SensorFusionMask : uint16_t {
// Bit locations for fusion_mode
DEPRECATED_USE_GPS = (1<<0), ///< set to true to use GPS data (DEPRECATED, use gnss_ctrl)
USE_OPT_FLOW = (1<<1), ///< set to true to use optical flow data
INHIBIT_ACC_BIAS = (1<<2), ///< set to true to inhibit estimation of accelerometer delta velocity bias
DEPRECATED_INHIBIT_ACC_BIAS = (1<<2), ///< set to true to inhibit estimation of accelerometer delta velocity bias
DEPRECATED_USE_EXT_VIS_POS = (1<<3), ///< set to true to use external vision position data
DEPRECATED_USE_EXT_VIS_YAW = (1<<4), ///< set to true to use external vision quaternion data for yaw
USE_DRAG = (1<<5), ///< set to true to use the multi-rotor drag model to estimate wind
@@ -279,6 +284,8 @@ struct parameters {
int32_t filter_update_interval_us{10000}; ///< filter update interval in microseconds
int32_t imu_ctrl{static_cast<int32_t>(ImuCtrl::GyroBias) | static_cast<int32_t>(ImuCtrl::AccelBias)};
// measurement source control
int32_t fusion_mode{}; ///< bitmasked integer that selects some aiding sources
int32_t height_sensor_ref{HeightSensor::BARO};
+45 -6
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@@ -81,9 +81,9 @@ void Ekf::initialiseCovariance()
}
// gyro bias
P(10,10) = sq(_params.switch_on_gyro_bias * dt);
P(11,11) = P(10,10);
P(12,12) = P(10,10);
_prev_delta_ang_bias_var(0) = P(10,10) = sq(_params.switch_on_gyro_bias * dt);
_prev_delta_ang_bias_var(1) = P(11,11) = P(10,10);
_prev_delta_ang_bias_var(2) = P(12,12) = P(10,10);
// accel bias
_prev_dvel_bias_var(0) = P(13,13) = sq(_params.switch_on_accel_bias * dt);
@@ -121,7 +121,36 @@ void Ekf::predictCovariance(const imuSample &imu_delayed)
const bool is_manoeuvre_level_high = _ang_rate_magnitude_filt > _params.acc_bias_learn_gyr_lim
|| _accel_magnitude_filt > _params.acc_bias_learn_acc_lim;
const bool do_inhibit_all_axes = (_params.fusion_mode & SensorFusionMask::INHIBIT_ACC_BIAS)
// gyro bias inhibit
const bool do_inhibit_all_gyro_axes = !(_params.imu_ctrl & static_cast<int32_t>(ImuCtrl::GyroBias));
for (unsigned stateIndex = 10; stateIndex <= 12; stateIndex++) {
const unsigned index = stateIndex - 10;
bool is_bias_observable = true;
// TODO: gyro bias conditions
const bool do_inhibit_axis = do_inhibit_all_gyro_axes || !is_bias_observable;
if (do_inhibit_axis) {
// store the bias state variances to be reinstated later
if (!_gyro_bias_inhibit[index]) {
_prev_delta_ang_bias_var(index) = P(stateIndex, stateIndex);
_gyro_bias_inhibit[index] = true;
}
} else {
if (_gyro_bias_inhibit[index]) {
// reinstate the bias state variances
P(stateIndex, stateIndex) = _prev_delta_ang_bias_var(index);
_gyro_bias_inhibit[index] = false;
}
}
}
// accel bias inhibit
const bool do_inhibit_all_accel_axes = !(_params.imu_ctrl & static_cast<int32_t>(ImuCtrl::AccelBias))
|| is_manoeuvre_level_high
|| _fault_status.flags.bad_acc_vertical;
@@ -141,7 +170,7 @@ void Ekf::predictCovariance(const imuSample &imu_delayed)
is_bias_observable = (fabsf(_R_to_earth(2, index)) > 0.966f); // cos 15 degrees ~= 0.966
}
const bool do_inhibit_axis = do_inhibit_all_axes || imu_delayed.delta_vel_clipping[index] || !is_bias_observable;
const bool do_inhibit_axis = do_inhibit_all_accel_axes || imu_delayed.delta_vel_clipping[index] || !is_bias_observable;
if (do_inhibit_axis) {
// store the bias state variances to be reinstated later
@@ -239,7 +268,17 @@ void Ekf::predictCovariance(const imuSample &imu_delayed)
// the variances, therefore use algorithm to minimise numerical error
for (unsigned i = 10; i <= 12; i++) {
const int index = i - 10;
nextP(i, i) = kahanSummation(nextP(i, i), process_noise(i), _delta_angle_bias_var_accum(index));
if (!_gyro_bias_inhibit[index]) {
// add process noise that is not from the IMU
// process noise contribution for delta velocity states can be very small compared to
// the variances, therefore use algorithm to minimise numerical error
nextP(i, i) = kahanSummation(nextP(i, i), process_noise(i), _delta_angle_bias_var_accum(index));
} else {
nextP.uncorrelateCovarianceSetVariance<1>(i, _prev_delta_ang_bias_var(index));
_delta_angle_bias_var_accum(index) = 0.f;
}
}
for (int i = 13; i <= 15; i++) {
+10 -1
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@@ -329,6 +329,7 @@ public:
float getMagBiasLimit() const { return 0.5f; } // 0.5 Gauss
bool accel_bias_inhibited() const { return _accel_bias_inhibit[0] || _accel_bias_inhibit[1] || _accel_bias_inhibit[2]; }
bool gyro_bias_inhibited() const { return _gyro_bias_inhibit[0] || _gyro_bias_inhibit[1] || _gyro_bias_inhibit[2]; }
const auto &state_reset_status() const { return _state_reset_status; }
@@ -531,8 +532,8 @@ private:
SquareMatrix24f P{}; ///< state covariance matrix
Vector3f _delta_vel_bias_var_accum{}; ///< kahan summation algorithm accumulator for delta velocity bias variance
Vector3f _delta_angle_bias_var_accum{}; ///< kahan summation algorithm accumulator for delta angle bias variance
Vector3f _delta_vel_bias_var_accum{}; ///< kahan summation algorithm accumulator for delta velocity bias variance
Vector2f _drag_innov{}; ///< multirotor drag measurement innovation (m/sec**2)
Vector2f _drag_innov_var{}; ///< multirotor drag measurement innovation variance ((m/sec**2)**2)
@@ -614,9 +615,11 @@ private:
// variables used to inhibit accel bias learning
bool _accel_bias_inhibit[3] {}; ///< true when the accel bias learning is being inhibited for the specified axis
bool _gyro_bias_inhibit[3] {}; ///< true when the gyro bias learning is being inhibited for the specified axis
Vector3f _accel_vec_filt{}; ///< acceleration vector after application of a low pass filter (m/sec**2)
float _accel_magnitude_filt{0.0f}; ///< acceleration magnitude after application of a decaying envelope filter (rad/sec)
float _ang_rate_magnitude_filt{0.0f}; ///< angular rate magnitude after application of a decaying envelope filter (rad/sec)
Vector3f _prev_delta_ang_bias_var{}; ///< saved delta angle XYZ bias variances (rad/sec)
Vector3f _prev_dvel_bias_var{}; ///< saved delta velocity XYZ bias variances (m/sec)**2
// Terrain height state estimation
@@ -765,6 +768,12 @@ private:
bool measurementUpdate(Vector24f &K, float innovation_variance, float innovation)
{
for (unsigned i = 0; i < 3; i++) {
// gyro bias: states 10, 11, 12
if (_gyro_bias_inhibit[i]) {
K(10 + i) = 0.0f;
}
// accel bias: states 13, 14, 15
if (_accel_bias_inhibit[i]) {
K(13 + i) = 0.0f;
}
+6
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@@ -201,6 +201,12 @@ bool Ekf::fuseVelPosHeight(const float innov, const float innov_var, const int o
}
for (unsigned i = 0; i < 3; i++) {
// gyro bias: states 10, 11, 12
if (_gyro_bias_inhibit[i]) {
Kfusion(10 + i) = 0.0f;
}
// accel bias: states 13, 14, 15
if (_accel_bias_inhibit[i]) {
Kfusion(13 + i) = 0.0f;
}
+28 -5
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@@ -59,6 +59,7 @@ EKF2::EKF2(bool multi_mode, const px4::wq_config_t &config, bool replay_mode):
_wind_pub(multi_mode ? ORB_ID(estimator_wind) : ORB_ID(wind)),
_params(_ekf.getParamHandle()),
_param_ekf2_predict_us(_params->filter_update_interval_us),
_param_ekf2_imu_ctrl(_params->imu_ctrl),
_param_ekf2_mag_delay(_params->mag_delay_ms),
_param_ekf2_baro_delay(_params->baro_delay_ms),
_param_ekf2_gps_delay(_params->gps_delay_ms),
@@ -744,6 +745,27 @@ void EKF2::VerifyParams()
events::send<float>(events::ID("ekf2_aid_mask_ev"), events::Log::Warning,
"Use EKF2_EV_CTRL instead", _param_ekf2_aid_mask.get());
}
// IMU EKF2_AID_MASK -> EKF2_IMU_CTRL (2023-01-31)
if (_param_ekf2_aid_mask.get() & SensorFusionMask::DEPRECATED_INHIBIT_ACC_BIAS) {
// EKF2_IMU_CTRL set disable accel bias bit
_param_ekf2_imu_ctrl.set(_param_ekf2_imu_ctrl.get() & ~(static_cast<int32_t>(ImuCtrl::AccelBias)));
// EKF2_AID_MASK clear inhibit accel bias bit
_param_ekf2_aid_mask.set(_param_ekf2_aid_mask.get() & ~(SensorFusionMask::DEPRECATED_INHIBIT_ACC_BIAS));
_param_ekf2_imu_ctrl.commit();
_param_ekf2_aid_mask.commit();
mavlink_log_critical(&_mavlink_log_pub, "EKF2 IMU accel bias inhibit use EKF2_IMU_CTRL instead of EKF2_AID_MASK\n");
/* EVENT
* @description <param>EKF2_AID_MASK</param> is set to {1:.0}.
*/
events::send<float>(events::ID("ekf2_aid_mask_imu"), events::Log::Warning,
"Use EKF2_IMU_CTRL instead", _param_ekf2_aid_mask.get());
}
}
void EKF2::PublishAidSourceStatus(const hrt_abstime &timestamp)
@@ -1320,7 +1342,7 @@ void EKF2::PublishSensorBias(const hrt_abstime &timestamp)
bias.timestamp_sample = _ekf.time_delayed_us();
// take device ids from sensor_selection_s if not using specific vehicle_imu_s
if (_device_id_gyro != 0) {
if ((_device_id_gyro != 0) && (_param_ekf2_imu_ctrl.get() & static_cast<int32_t>(ImuCtrl::GyroBias))) {
bias.gyro_device_id = _device_id_gyro;
gyro_bias.copyTo(bias.gyro_bias);
bias.gyro_bias_limit = _ekf.getGyroBiasLimit();
@@ -1330,7 +1352,7 @@ void EKF2::PublishSensorBias(const hrt_abstime &timestamp)
_last_gyro_bias_published = gyro_bias;
}
if ((_device_id_accel != 0) && !(_param_ekf2_aid_mask.get() & SensorFusionMask::INHIBIT_ACC_BIAS)) {
if ((_device_id_accel != 0) && (_param_ekf2_imu_ctrl.get() & static_cast<int32_t>(ImuCtrl::AccelBias))) {
bias.accel_device_id = _device_id_accel;
accel_bias.copyTo(bias.accel_bias);
bias.accel_bias_limit = _ekf.getAccelBiasLimit();
@@ -2212,7 +2234,7 @@ void EKF2::UpdateCalibration(const hrt_abstime &timestamp, InFlightCalibration &
void EKF2::UpdateAccelCalibration(const hrt_abstime &timestamp)
{
// the EKF is operating in the correct mode and there are no filter faults
const bool bias_valid = !(_param_ekf2_aid_mask.get() & SensorFusionMask::INHIBIT_ACC_BIAS)
const bool bias_valid = (_param_ekf2_imu_ctrl.get() & static_cast<int32_t>(ImuCtrl::AccelBias))
&& _ekf.control_status_flags().tilt_align
&& (_ekf.fault_status().value == 0)
&& !_ekf.fault_status_flags().bad_acc_bias
@@ -2229,10 +2251,11 @@ void EKF2::UpdateAccelCalibration(const hrt_abstime &timestamp)
void EKF2::UpdateGyroCalibration(const hrt_abstime &timestamp)
{
// the EKF is operating in the correct mode and there are no filter faults
const bool bias_valid = _ekf.control_status_flags().tilt_align
const bool bias_valid = (_param_ekf2_imu_ctrl.get() & static_cast<int32_t>(ImuCtrl::GyroBias))
&& _ekf.control_status_flags().tilt_align
&& (_ekf.fault_status().value == 0);
const bool learning_valid = bias_valid; // TODO
const bool learning_valid = bias_valid && !_ekf.gyro_bias_inhibited();
UpdateCalibration(timestamp, _gyro_cal, _ekf.getGyroBias(), _ekf.getGyroBiasVariance(), _ekf.getGyroBiasLimit(),
bias_valid, learning_valid);
+2
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@@ -397,6 +397,8 @@ private:
DEFINE_PARAMETERS(
(ParamExtInt<px4::params::EKF2_PREDICT_US>) _param_ekf2_predict_us,
(ParamExtInt<px4::params::EKF2_IMU_CTRL>) _param_ekf2_imu_ctrl,
(ParamExtFloat<px4::params::EKF2_MAG_DELAY>)
_param_ekf2_mag_delay, ///< magnetometer measurement delay relative to the IMU (mSec)
(ParamExtFloat<px4::params::EKF2_BARO_DELAY>)
+13 -2
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@@ -52,6 +52,17 @@
*/
PARAM_DEFINE_INT32(EKF2_PREDICT_US, 10000);
/**
* IMU control
*
* @group EKF2
* @min 0
* @max 3
* @bit 0 Gyro Bias
* @bit 1 Accel Bias
*/
PARAM_DEFINE_INT32(EKF2_IMU_CTRL, 3);
/**
* Magnetometer measurement delay relative to IMU measurements
*
@@ -602,7 +613,7 @@ PARAM_DEFINE_FLOAT(EKF2_TAS_GATE, 3.0f);
* Set bits in the following positions to enable:
* 0 : Deprecated, use EKF2_GPS_CTRL instead
* 1 : Set to true to use optical flow data if available
* 2 : Set to true to inhibit IMU delta velocity bias estimation
* 2 : Deprecated, use EKF2_IMU_CTRL instead
* 3 : Deprecated, use EKF2_EV_CTRL instead
* 4 : Deprecated, use EKF2_EV_CTRL instead
* 5 : Set to true to enable multi-rotor drag specific force fusion
@@ -615,7 +626,7 @@ PARAM_DEFINE_FLOAT(EKF2_TAS_GATE, 3.0f);
* @max 511
* @bit 0 unused
* @bit 1 use optical flow
* @bit 2 inhibit IMU bias estimation
* @bit 2 unused
* @bit 3 unused
* @bit 4 unused
* @bit 5 multi-rotor drag fusion