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https://github.com/PX4/PX4-Autopilot.git
synced 2026-05-21 04:33:10 +08:00
ekf2: move range buffer pop to controlRangeHeightFusion()
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@@ -130,50 +130,6 @@ void Ekf::controlFusionModes(const imuSample &imu_delayed)
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}
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}
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if (_range_buffer) {
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// Get range data from buffer and check validity
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_rng_data_ready = _range_buffer->pop_first_older_than(imu_delayed.time_us, _range_sensor.getSampleAddress());
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_range_sensor.setDataReadiness(_rng_data_ready);
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// update range sensor angle parameters in case they have changed
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_range_sensor.setPitchOffset(_params.rng_sens_pitch);
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_range_sensor.setCosMaxTilt(_params.range_cos_max_tilt);
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_range_sensor.setQualityHysteresis(_params.range_valid_quality_s);
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_range_sensor.runChecks(imu_delayed.time_us, _R_to_earth);
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if (_range_sensor.isDataHealthy()) {
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// correct the range data for position offset relative to the IMU
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const Vector3f pos_offset_body = _params.rng_pos_body - _params.imu_pos_body;
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const Vector3f pos_offset_earth = _R_to_earth * pos_offset_body;
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_range_sensor.setRange(_range_sensor.getRange() + pos_offset_earth(2) / _range_sensor.getCosTilt());
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// Run the kinematic consistency check when not moving horizontally
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if (_control_status.flags.in_air && !_control_status.flags.fixed_wing
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&& (sq(_state.vel(0)) + sq(_state.vel(1)) < fmaxf(P(4, 4) + P(5, 5), 0.1f))) {
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const float dist_dependant_var = sq(_params.range_noise_scaler * _range_sensor.getDistBottom());
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const float var = sq(_params.range_noise) + dist_dependant_var;
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_rng_consistency_check.setGate(_params.range_kin_consistency_gate);
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_rng_consistency_check.update(_range_sensor.getDistBottom(), math::max(var, 0.001f), _state.vel(2), P(6, 6), imu_delayed.time_us);
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}
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} else {
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// If we are supposed to be using range finder data as the primary height sensor, have bad range measurements
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// and are on the ground, then synthesise a measurement at the expected on ground value
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if (!_control_status.flags.in_air
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&& _range_sensor.isRegularlySendingData()
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&& _range_sensor.isDataReady()) {
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_range_sensor.setRange(_params.rng_gnd_clearance);
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_range_sensor.setValidity(true); // bypass the checks
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}
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}
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_control_status.flags.rng_kin_consistent = _rng_consistency_check.isKinematicallyConsistent();
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}
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// run EKF-GSF yaw estimator once per imu_delayed update after all main EKF data samples available
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runYawEKFGSF(imu_delayed);
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@@ -488,7 +488,6 @@ private:
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// booleans true when fresh sensor data is available at the fusion time horizon
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bool _gps_data_ready{false}; ///< true when new GPS data has fallen behind the fusion time horizon and is available to be fused
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bool _rng_data_ready{false};
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bool _flow_data_ready{false}; ///< true when the leading edge of the optical flow integration period has fallen behind the fusion time horizon
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bool _tas_data_ready{false}; ///< true when new true airspeed data has fallen behind the fusion time horizon and is available to be fused
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bool _flow_for_terrain_data_ready{false}; /// same flag as "_flow_data_ready" but used for separate terrain estimator
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@@ -42,12 +42,61 @@ void Ekf::controlRangeHeightFusion()
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{
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static constexpr const char *HGT_SRC_NAME = "RNG";
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bool rng_data_ready = false;
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if (_range_buffer) {
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// Get range data from buffer and check validity
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rng_data_ready = _range_buffer->pop_first_older_than(_time_delayed_us, _range_sensor.getSampleAddress());
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_range_sensor.setDataReadiness(rng_data_ready);
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// update range sensor angle parameters in case they have changed
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_range_sensor.setPitchOffset(_params.rng_sens_pitch);
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_range_sensor.setCosMaxTilt(_params.range_cos_max_tilt);
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_range_sensor.setQualityHysteresis(_params.range_valid_quality_s);
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_range_sensor.runChecks(_time_delayed_us, _R_to_earth);
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if (_range_sensor.isDataHealthy()) {
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// correct the range data for position offset relative to the IMU
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const Vector3f pos_offset_body = _params.rng_pos_body - _params.imu_pos_body;
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const Vector3f pos_offset_earth = _R_to_earth * pos_offset_body;
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_range_sensor.setRange(_range_sensor.getRange() + pos_offset_earth(2) / _range_sensor.getCosTilt());
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// Run the kinematic consistency check when not moving horizontally
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if (_control_status.flags.in_air && !_control_status.flags.fixed_wing
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&& (sq(_state.vel(0)) + sq(_state.vel(1)) < fmaxf(P(4, 4) + P(5, 5), 0.1f))) {
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const float dist_dependant_var = sq(_params.range_noise_scaler * _range_sensor.getDistBottom());
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const float var = sq(_params.range_noise) + dist_dependant_var;
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_rng_consistency_check.setGate(_params.range_kin_consistency_gate);
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_rng_consistency_check.update(_range_sensor.getDistBottom(), math::max(var, 0.001f), _state.vel(2), P(6, 6), _time_delayed_us);
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}
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} else {
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// If we are supposed to be using range finder data as the primary height sensor, have bad range measurements
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// and are on the ground, then synthesise a measurement at the expected on ground value
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if (!_control_status.flags.in_air
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&& _range_sensor.isRegularlySendingData()
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&& _range_sensor.isDataReady()) {
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_range_sensor.setRange(_params.rng_gnd_clearance);
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_range_sensor.setValidity(true); // bypass the checks
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}
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}
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_control_status.flags.rng_kin_consistent = _rng_consistency_check.isKinematicallyConsistent();
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} else {
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return;
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}
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auto &aid_src = _aid_src_rng_hgt;
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HeightBiasEstimator &bias_est = _rng_hgt_b_est;
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bias_est.predict(_dt_ekf_avg);
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if (_rng_data_ready && _range_sensor.getSampleAddress()) {
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if (rng_data_ready && _range_sensor.getSampleAddress()) {
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const float measurement = math::max(_range_sensor.getDistBottom(), _params.rng_gnd_clearance);
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const float measurement_var = sq(_params.range_noise) + sq(_params.range_noise_scaler * _range_sensor.getDistBottom());
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