ekf2: consolidate airspeed fusion logic and helpers

- pass new airspeed sample around when available
 - can't completely eliminate _airspeed_sample_delayed until resetWind()
called from sideslip fusion is updated
This commit is contained in:
Daniel Agar
2023-02-21 10:29:57 -05:00
parent 241cee2bb7
commit 08f111f694
6 changed files with 91 additions and 98 deletions

View File

@@ -70,13 +70,15 @@ void Ekf::controlAirDataFusion(const imuSample &imu_delayed)
_tas_data_ready = _airspeed_buffer->pop_first_older_than(imu_delayed.time_us, &_airspeed_sample_delayed);
}
const airspeedSample &airspeed_sample = _airspeed_sample_delayed;
if (_tas_data_ready) {
updateAirspeed(_airspeed_sample_delayed, _aid_src_airspeed);
updateAirspeed(airspeed_sample, _aid_src_airspeed);
_innov_check_fail_status.flags.reject_airspeed = _aid_src_airspeed.innovation_rejected; // TODO: remove this redundant flag
const bool continuing_conditions_passing = _control_status.flags.in_air && _control_status.flags.fixed_wing && !_control_status.flags.fake_pos;
const bool is_airspeed_significant = _airspeed_sample_delayed.true_airspeed > _params.arsp_thr;
const bool is_airspeed_significant = airspeed_sample.true_airspeed > _params.arsp_thr;
const bool is_airspeed_consistent = (_aid_src_airspeed.test_ratio > 0.f && _aid_src_airspeed.test_ratio < 1.f);
const bool starting_conditions_passing = continuing_conditions_passing && is_airspeed_significant
&& (is_airspeed_consistent || !_control_status.flags.wind); // if wind isn't already estimated, the states are reset when starting airspeed fusion
@@ -84,7 +86,7 @@ void Ekf::controlAirDataFusion(const imuSample &imu_delayed)
if (_control_status.flags.fuse_aspd) {
if (continuing_conditions_passing) {
if (is_airspeed_significant) {
fuseAirspeed(_aid_src_airspeed);
fuseAirspeed(airspeed_sample, _aid_src_airspeed);
}
const bool is_fusion_failing = isTimedOut(_aid_src_airspeed.time_last_fuse, (uint64_t)10e6);
@@ -98,19 +100,29 @@ void Ekf::controlAirDataFusion(const imuSample &imu_delayed)
}
} else if (starting_conditions_passing) {
startAirspeedFusion();
ECL_INFO("starting airspeed fusion");
// If starting wind state estimation, reset the wind states and covariances before fusing any data
if (!_control_status.flags.wind) {
// activate the wind states
_control_status.flags.wind = true;
// reset the wind speed states and corresponding covariances
resetWindUsingAirspeed(airspeed_sample);
}
_control_status.flags.fuse_aspd = true;
}
} else if (_control_status.flags.fuse_aspd && !isRecent(_airspeed_sample_delayed.time_us, (uint64_t)1e6)) {
} else if (_control_status.flags.fuse_aspd && !isRecent(airspeed_sample.time_us, (uint64_t)1e6)) {
ECL_WARN("Airspeed data stopped");
stopAirspeedFusion();
}
}
void Ekf::updateAirspeed(const airspeedSample &airspeed_sample, estimator_aid_source1d_s &airspeed) const
void Ekf::updateAirspeed(const airspeedSample &airspeed_sample, estimator_aid_source1d_s &aid_src) const
{
// reset flags
resetEstimatorAidStatus(airspeed);
resetEstimatorAidStatus(aid_src);
// Variance for true airspeed measurement - (m/sec)^2
const float R = sq(math::constrain(_params.eas_noise, 0.5f, 5.0f) *
@@ -120,37 +132,37 @@ void Ekf::updateAirspeed(const airspeedSample &airspeed_sample, estimator_aid_so
float innov_var = 0.f;
sym::ComputeAirspeedInnovAndInnovVar(getStateAtFusionHorizonAsVector(), P, airspeed_sample.true_airspeed, R, FLT_EPSILON, &innov, &innov_var);
airspeed.observation = airspeed_sample.true_airspeed;
airspeed.observation_variance = R;
airspeed.innovation = innov;
airspeed.innovation_variance = innov_var;
aid_src.observation = airspeed_sample.true_airspeed;
aid_src.observation_variance = R;
aid_src.innovation = innov;
aid_src.innovation_variance = innov_var;
airspeed.fusion_enabled = _control_status.flags.fuse_aspd;
aid_src.fusion_enabled = _control_status.flags.fuse_aspd;
airspeed.timestamp_sample = airspeed_sample.time_us;
aid_src.timestamp_sample = airspeed_sample.time_us;
const float innov_gate = fmaxf(_params.tas_innov_gate, 1.f);
setEstimatorAidStatusTestRatio(airspeed, innov_gate);
setEstimatorAidStatusTestRatio(aid_src, innov_gate);
}
void Ekf::fuseAirspeed(estimator_aid_source1d_s &airspeed)
void Ekf::fuseAirspeed(const airspeedSample &airspeed_sample, estimator_aid_source1d_s &aid_src)
{
if (airspeed.innovation_rejected) {
if (aid_src.innovation_rejected) {
return;
}
// determine if we need the airspeed fusion to correct states other than wind
const bool update_wind_only = !_control_status.flags.wind_dead_reckoning;
const float innov_var = airspeed.innovation_variance;
const float innov_var = aid_src.innovation_variance;
if (innov_var < airspeed.observation_variance || innov_var < FLT_EPSILON) {
if (innov_var < aid_src.observation_variance || innov_var < FLT_EPSILON) {
// Reset the estimator covariance matrix
// if we are getting aiding from other sources, warn and reset the wind states and covariances only
const char *action_string = nullptr;
if (update_wind_only) {
resetWindUsingAirspeed();
resetWindUsingAirspeed(airspeed_sample);
action_string = "wind";
} else {
@@ -179,13 +191,22 @@ void Ekf::fuseAirspeed(estimator_aid_source1d_s &airspeed)
}
}
const bool is_fused = measurementUpdate(K, airspeed.innovation_variance, airspeed.innovation);
const bool is_fused = measurementUpdate(K, aid_src.innovation_variance, aid_src.innovation);
airspeed.fused = is_fused;
aid_src.fused = is_fused;
_fault_status.flags.bad_airspeed = !is_fused;
if (is_fused) {
airspeed.time_last_fuse = _time_delayed_us;
aid_src.time_last_fuse = _time_delayed_us;
}
}
void Ekf::stopAirspeedFusion()
{
if (_control_status.flags.fuse_aspd) {
ECL_INFO("stopping airspeed fusion");
resetEstimatorAidStatus(_aid_src_airspeed);
_control_status.flags.fuse_aspd = false;
}
}
@@ -196,32 +217,60 @@ float Ekf::getTrueAirspeed() const
void Ekf::resetWind()
{
if (_control_status.flags.fuse_aspd) {
resetWindUsingAirspeed();
if (_control_status.flags.fuse_aspd && isRecent(_airspeed_sample_delayed.time_us, 1e6)) {
resetWindUsingAirspeed(_airspeed_sample_delayed);
} else {
resetWindToZero();
}
}
/*
* Reset the wind states using the current airspeed measurement, ground relative nav velocity, yaw angle and assumption of zero sideslip
*/
void Ekf::resetWindUsingAirspeed()
void Ekf::resetWindUsingAirspeed(const airspeedSample &airspeed_sample)
{
const float euler_yaw = getEulerYaw(_R_to_earth);
// estimate wind using zero sideslip assumption and airspeed measurement if airspeed available
_state.wind_vel(0) = _state.vel(0) - _airspeed_sample_delayed.true_airspeed * cosf(euler_yaw);
_state.wind_vel(1) = _state.vel(1) - _airspeed_sample_delayed.true_airspeed * sinf(euler_yaw);
_state.wind_vel(0) = _state.vel(0) - airspeed_sample.true_airspeed * cosf(euler_yaw);
_state.wind_vel(1) = _state.vel(1) - airspeed_sample.true_airspeed * sinf(euler_yaw);
ECL_INFO("reset wind using airspeed to (%.3f, %.3f)", (double)_state.wind_vel(0), (double)_state.wind_vel(1));
resetWindCovarianceUsingAirspeed();
resetWindCovarianceUsingAirspeed(airspeed_sample);
_aid_src_airspeed.time_last_fuse = _time_delayed_us;
}
void Ekf::resetWindCovarianceUsingAirspeed(const airspeedSample &airspeed_sample)
{
// Derived using EKF/matlab/scripts/Inertial Nav EKF/wind_cov.py
// TODO: explicitly include the sideslip angle in the derivation
const float euler_yaw = getEulerYaw(_R_to_earth);
const float R_TAS = sq(math::constrain(_params.eas_noise, 0.5f, 5.0f) * math::constrain(airspeed_sample.eas2tas, 0.9f, 10.0f));
constexpr float initial_sideslip_uncertainty = math::radians(15.0f);
const float initial_wind_var_body_y = sq(airspeed_sample.true_airspeed * sinf(initial_sideslip_uncertainty));
constexpr float R_yaw = sq(math::radians(10.0f));
const float cos_yaw = cosf(euler_yaw);
const float sin_yaw = sinf(euler_yaw);
// rotate wind velocity into earth frame aligned with vehicle yaw
const float Wx = _state.wind_vel(0) * cos_yaw + _state.wind_vel(1) * sin_yaw;
const float Wy = -_state.wind_vel(0) * sin_yaw + _state.wind_vel(1) * cos_yaw;
// it is safer to remove all existing correlations to other states at this time
P.uncorrelateCovarianceSetVariance<2>(22, 0.0f);
P(22, 22) = R_TAS * sq(cos_yaw) + R_yaw * sq(-Wx * sin_yaw - Wy * cos_yaw) + initial_wind_var_body_y * sq(sin_yaw);
P(22, 23) = R_TAS * sin_yaw * cos_yaw + R_yaw * (-Wx * sin_yaw - Wy * cos_yaw) * (Wx * cos_yaw - Wy * sin_yaw) -
initial_wind_var_body_y * sin_yaw * cos_yaw;
P(23, 22) = P(22, 23);
P(23, 23) = R_TAS * sq(sin_yaw) + R_yaw * sq(Wx * cos_yaw - Wy * sin_yaw) + initial_wind_var_body_y * sq(cos_yaw);
// Now add the variance due to uncertainty in vehicle velocity that was used to calculate the initial wind speed
P(22, 22) += P(4, 4);
P(23, 23) += P(5, 5);
}
void Ekf::resetWindToZero()
{
ECL_INFO("reset wind to zero");

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@@ -605,34 +605,3 @@ void Ekf::resetZDeltaAngBiasCov()
P.uncorrelateCovarianceSetVariance<1>(12, init_delta_ang_bias_var);
}
void Ekf::resetWindCovarianceUsingAirspeed()
{
// Derived using EKF/matlab/scripts/Inertial Nav EKF/wind_cov.py
// TODO: explicitly include the sideslip angle in the derivation
const float euler_yaw = getEulerYaw(_R_to_earth);
const float R_TAS = sq(math::constrain(_params.eas_noise, 0.5f, 5.0f) * math::constrain(_airspeed_sample_delayed.eas2tas, 0.9f, 10.0f));
constexpr float initial_sideslip_uncertainty = math::radians(15.0f);
const float initial_wind_var_body_y = sq(_airspeed_sample_delayed.true_airspeed * sinf(initial_sideslip_uncertainty));
constexpr float R_yaw = sq(math::radians(10.0f));
const float cos_yaw = cosf(euler_yaw);
const float sin_yaw = sinf(euler_yaw);
// rotate wind velocity into earth frame aligned with vehicle yaw
const float Wx = _state.wind_vel(0) * cos_yaw + _state.wind_vel(1) * sin_yaw;
const float Wy = -_state.wind_vel(0) * sin_yaw + _state.wind_vel(1) * cos_yaw;
// it is safer to remove all existing correlations to other states at this time
P.uncorrelateCovarianceSetVariance<2>(22, 0.0f);
P(22, 22) = R_TAS * sq(cos_yaw) + R_yaw * sq(-Wx * sin_yaw - Wy * cos_yaw) + initial_wind_var_body_y * sq(sin_yaw);
P(22, 23) = R_TAS * sin_yaw * cos_yaw + R_yaw * (-Wx * sin_yaw - Wy * cos_yaw) * (Wx * cos_yaw - Wy * sin_yaw) -
initial_wind_var_body_y * sin_yaw * cos_yaw;
P(23, 22) = P(22, 23);
P(23, 23) = R_TAS * sq(sin_yaw) + R_yaw * sq(Wx * cos_yaw - Wy * sin_yaw) + initial_wind_var_body_y * sq(cos_yaw);
// Now add the variance due to uncertainty in vehicle velocity that was used to calculate the initial wind speed
P(22, 22) += P(4, 4);
P(23, 23) += P(5, 5);
}

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@@ -50,11 +50,9 @@ void Ekf::controlDragFusion()
if (!_control_status.flags.wind) {
// reset the wind states and covariances when starting drag accel fusion
_control_status.flags.wind = true;
resetWind();
resetWindToZero();
}
dragSample drag_sample;
if (_drag_buffer->pop_first_older_than(_time_delayed_us, &drag_sample)) {

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@@ -682,8 +682,8 @@ private:
// apply sensible limits to the declination and length of the NE mag field states estimates
void limitDeclination();
void updateAirspeed(const airspeedSample &airspeed_sample, estimator_aid_source1d_s &airspeed) const;
void fuseAirspeed(estimator_aid_source1d_s &airspeed);
void updateAirspeed(const airspeedSample &airspeed_sample, estimator_aid_source1d_s &aid_src) const;
void fuseAirspeed(const airspeedSample &airspeed_sample, estimator_aid_source1d_s &aid_src);
// fuse synthetic zero sideslip measurement
void updateSideslip(estimator_aid_source1d_s &_aid_src_sideslip) const;
@@ -952,12 +952,15 @@ private:
void zeroQuatCov();
void resetMagCov();
// perform a limited reset of the wind state covariances
void resetWindCovarianceUsingAirspeed();
// perform a reset of the wind states and related covariances
void resetWind();
void resetWindUsingAirspeed();
// Reset the wind states using the current airspeed measurement, ground relative nav velocity, yaw angle and assumption of zero sideslip
void resetWindUsingAirspeed(const airspeedSample &airspeed_sample);
// perform a limited reset of the wind state covariances
void resetWindCovarianceUsingAirspeed(const airspeedSample &airspeed_sample);
void resetWindToZero();
// check that the range finder data is continuous
@@ -997,7 +1000,6 @@ private:
return (sensor_timestamp != 0) && (sensor_timestamp + acceptance_interval > _time_latest_us);
}
void startAirspeedFusion();
void stopAirspeedFusion();
void stopGpsFusion();

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@@ -1181,31 +1181,6 @@ void Ekf::loadMagCovData()
P(18, 18) = _saved_mag_ef_d_variance;
}
void Ekf::startAirspeedFusion()
{
if (!_control_status.flags.fuse_aspd) {
ECL_INFO("starting airspeed fusion");
// If starting wind state estimation, reset the wind states and covariances before fusing any data
if (!_control_status.flags.wind) {
// activate the wind states
_control_status.flags.wind = true;
// reset the wind speed states and corresponding covariances
resetWindUsingAirspeed();
}
_control_status.flags.fuse_aspd = true;
}
}
void Ekf::stopAirspeedFusion()
{
if (_control_status.flags.fuse_aspd) {
ECL_INFO("stopping airspeed fusion");
_control_status.flags.fuse_aspd = false;
}
}
void Ekf::stopGpsFusion()
{
if (_control_status.flags.gps) {

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@@ -68,7 +68,7 @@ void Ekf::controlBetaFusion(const imuSample &imu_delayed)
_control_status.flags.wind = true;
// reset the timeout timers to prevent repeated resets
_aid_src_sideslip.time_last_fuse = imu_delayed.time_us;
resetWind();
resetWindToZero();
}
if (Vector2f(Vector2f(_state.vel) - _state.wind_vel).longerThan(7.f)) {