/**************************************************************************** * * Copyright (c) 2015 Estimation and Control Library (ECL). All rights reserved. * * Redistribution and use in source and binary forms, with or without * modification, are permitted provided that the following conditions * are met: * * 1. Redistributions of source code must retain the above copyright * notice, this list of conditions and the following disclaimer. * 2. Redistributions in binary form must reproduce the above copyright * notice, this list of conditions and the following disclaimer in * the documentation and/or other materials provided with the * distribution. * 3. Neither the name ECL nor the names of its contributors may be * used to endorse or promote products derived from this software * without specific prior written permission. * * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS * "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS * FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE * COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, * INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, * BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS * OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED * AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT * LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN * ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE * POSSIBILITY OF SUCH DAMAGE. * ****************************************************************************/ /** * @file control.cpp * Control functions for ekf attitude and position estimator. * * @author Paul Riseborough * */ #include "../ecl.h" #include "ekf.h" #include void Ekf::controlFusionModes() { // Store the status to enable change detection _control_status_prev.value = _control_status.value; // monitor the tilt alignment if (!_control_status.flags.tilt_align) { // whilst we are aligning the tilt, monitor the variances Vector3f angle_err_var_vec = calcRotVecVariances(); // Once the tilt variances have reduced to equivalent of 3deg uncertainty, re-set the yaw and magnetic field states // and declare the tilt alignment complete if ((angle_err_var_vec(0) + angle_err_var_vec(1)) < sq(math::radians(3.0f))) { _control_status.flags.tilt_align = true; _control_status.flags.yaw_align = resetMagHeading(_mag_lpf.getState()); // send alignment status message to the console if (_control_status.flags.baro_hgt) { ECL_INFO("EKF aligned, (pressure height, IMU buf: %i, OBS buf: %i)", (int)_imu_buffer_length, (int)_obs_buffer_length); } else if (_control_status.flags.ev_hgt) { ECL_INFO("EKF aligned, (EV height, IMU buf: %i, OBS buf: %i)", (int)_imu_buffer_length, (int)_obs_buffer_length); } else if (_control_status.flags.gps_hgt) { ECL_INFO("EKF aligned, (GPS height, IMU buf: %i, OBS buf: %i)", (int)_imu_buffer_length, (int)_obs_buffer_length); } else if (_control_status.flags.rng_hgt) { ECL_INFO("EKF aligned, (range height, IMU buf: %i, OBS buf: %i)", (int)_imu_buffer_length, (int)_obs_buffer_length); } else { ECL_ERR("EKF aligned, (unknown height, IMU buf: %i, OBS buf: %i)", (int)_imu_buffer_length, (int)_obs_buffer_length); } } } // check for intermittent data (before pop_first_older_than) const baroSample &baro_init = _baro_buffer.get_newest(); _baro_hgt_faulty = !((_time_last_imu - baro_init.time_us) < 2 * BARO_MAX_INTERVAL); const gpsSample &gps_init = _gps_buffer.get_newest(); _gps_hgt_intermittent = !((_time_last_imu - gps_init.time_us) < 2 * GPS_MAX_INTERVAL); // check for arrival of new sensor data at the fusion time horizon _gps_data_ready = _gps_buffer.pop_first_older_than(_imu_sample_delayed.time_us, &_gps_sample_delayed); _mag_data_ready = _mag_buffer.pop_first_older_than(_imu_sample_delayed.time_us, &_mag_sample_delayed); if (_mag_data_ready) { // 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. if (_params.synthesize_mag_z && (_params.mag_declination_source & MASK_USE_GEO_DECL) &&_NED_origin_initialised) { Vector3f mag_earth_pred = Dcmf(Eulerf(0, -_mag_inclination_gps, _mag_declination_gps)) * Vector3f(_mag_strength_gps, 0, 0); _mag_sample_delayed.mag(2) = calculate_synthetic_mag_z_measurement(_mag_sample_delayed.mag, mag_earth_pred); _control_status.flags.synthetic_mag_z = true; } else { _control_status.flags.synthetic_mag_z = false; } } _delta_time_baro_us = _baro_sample_delayed.time_us; _baro_data_ready = _baro_buffer.pop_first_older_than(_imu_sample_delayed.time_us, &_baro_sample_delayed); // if we have a new baro sample save the delta time between this sample and the last sample which is // used below for baro offset calculations if (_baro_data_ready) { _delta_time_baro_us = _baro_sample_delayed.time_us - _delta_time_baro_us; } // calculate 2,2 element of rotation matrix from sensor frame to earth frame // this is required for use of range finder and flow data _R_rng_to_earth_2_2 = _R_to_earth(2, 0) * _sin_tilt_rng + _R_to_earth(2, 2) * _cos_tilt_rng; // Get range data from buffer and check validity _range_data_ready = _range_buffer.pop_first_older_than(_imu_sample_delayed.time_us, &_range_sample_delayed); updateRangeDataValidity(); if (_range_data_ready && _rng_hgt_valid) { // correct the range data for position offset relative to the IMU Vector3f pos_offset_body = _params.rng_pos_body - _params.imu_pos_body; Vector3f pos_offset_earth = _R_to_earth * pos_offset_body; _range_sample_delayed.rng += pos_offset_earth(2) / _R_rng_to_earth_2_2; } // We don't fuse flow data immediately because we have to wait for the mid integration point to fall behind the fusion time horizon. // This means we stop looking for new data until the old data has been fused. if (!_flow_data_ready) { _flow_data_ready = _flow_buffer.pop_first_older_than(_imu_sample_delayed.time_us, &_flow_sample_delayed) && (_R_to_earth(2, 2) > _params.range_cos_max_tilt); } // check if we should fuse flow data for terrain estimation if (!_flow_for_terrain_data_ready && _flow_data_ready && _control_status.flags.in_air) { // only fuse flow for terrain if range data hasn't been fused for 5 seconds _flow_for_terrain_data_ready = (_time_last_imu - _time_last_hagl_fuse) > 5 * 1000 * 1000; // only fuse flow for terrain if the main filter is not fusing flow and we are using gps _flow_for_terrain_data_ready &= (!_control_status.flags.opt_flow && _control_status.flags.gps); } _ev_data_ready = _ext_vision_buffer.pop_first_older_than(_imu_sample_delayed.time_us, &_ev_sample_delayed); _tas_data_ready = _airspeed_buffer.pop_first_older_than(_imu_sample_delayed.time_us, &_airspeed_sample_delayed); // check for height sensor timeouts and reset and change sensor if necessary controlHeightSensorTimeouts(); // control use of observations for aiding controlMagFusion(); controlOpticalFlowFusion(); controlGpsFusion(); controlAirDataFusion(); controlBetaFusion(); controlDragFusion(); controlHeightFusion(); // Additional data odoemtery data from an external estimator can be fused. controlExternalVisionFusion(); // Additional horizontal velocity data from an auxiliary sensor can be fused controlAuxVelFusion(); // Fake position measurement for constraining drift when no other velocity or position measurements controlFakePosFusion(); // check if we are no longer fusing measurements that directly constrain velocity drift update_deadreckoning_status(); } void Ekf::controlExternalVisionFusion() { // Check for new external vision data if (_ev_data_ready) { // if the ev data is not in a NED reference frame, then the transformation between EV and EKF navigation frames // needs to be calculated and the observations rotated into the EKF frame of reference if ((_params.fusion_mode & MASK_ROTATE_EV) && ((_params.fusion_mode & MASK_USE_EVPOS) || (_params.fusion_mode & MASK_USE_EVVEL)) && !_control_status.flags.ev_yaw) { // rotate EV measurements into the EKF Navigation frame calcExtVisRotMat(); } // external vision aiding selection logic if (_control_status.flags.tilt_align && _control_status.flags.yaw_align) { // check for a external vision measurement that has fallen behind the fusion time horizon if ((_time_last_imu - _time_last_ext_vision) < (2 * EV_MAX_INTERVAL)) { // turn on use of external vision measurements for position if (_params.fusion_mode & MASK_USE_EVPOS && !_control_status.flags.ev_pos) { _control_status.flags.ev_pos = true; resetPosition(); ECL_INFO_TIMESTAMPED("commencing external vision position fusion"); } // turn on use of external vision measurements for velocity if (_params.fusion_mode & MASK_USE_EVVEL && !_control_status.flags.ev_vel) { _control_status.flags.ev_vel = true; resetVelocity(); ECL_INFO_TIMESTAMPED("commencing external vision velocity fusion"); } if ((_params.fusion_mode & MASK_ROTATE_EV) && !(_params.fusion_mode & MASK_USE_EVYAW) && !_ev_rot_mat_initialised) { // Reset transformation between EV and EKF navigation frames when starting fusion resetExtVisRotMat(); _ev_rot_mat_initialised = true; ECL_INFO_TIMESTAMPED("external vision aligned"); } } } // external vision yaw aiding selection logic if (!_control_status.flags.gps && (_params.fusion_mode & MASK_USE_EVYAW) && !_control_status.flags.ev_yaw && _control_status.flags.tilt_align) { // don't start using EV data unless daa is arriving frequently if (_time_last_imu - _time_last_ext_vision < 2 * EV_MAX_INTERVAL) { // reset the yaw angle to the value from the observation quaternion // get the roll, pitch, yaw estimates from the quaternion states Quatf q_init(_state.quat_nominal); Eulerf euler_init(q_init); // get initial yaw from the observation quaternion const extVisionSample &ev_newest = _ext_vision_buffer.get_newest(); Quatf q_obs(ev_newest.quat); Eulerf euler_obs(q_obs); euler_init(2) = euler_obs(2); // save a copy of the quaternion state for later use in calculating the amount of reset change Quatf quat_before_reset = _state.quat_nominal; // calculate initial quaternion states for the ekf _state.quat_nominal = Quatf(euler_init); uncorrelateQuatStates(); // adjust the quaternion covariances estimated yaw error increaseQuatYawErrVariance(sq(fmaxf(_ev_sample_delayed.angErr, 1.0e-2f))); // calculate the amount that the quaternion has changed by _state_reset_status.quat_change = _state.quat_nominal * quat_before_reset.inversed(); // add the reset amount to the output observer buffered data for (uint8_t i = 0; i < _output_buffer.get_length(); i++) { _output_buffer[i].quat_nominal = _state_reset_status.quat_change * _output_buffer[i].quat_nominal; } // apply the change in attitude quaternion to our newest quaternion estimate // which was already taken out from the output buffer _output_new.quat_nominal = _state_reset_status.quat_change * _output_new.quat_nominal; // capture the reset event _state_reset_status.quat_counter++; // flag the yaw as aligned _control_status.flags.yaw_align = true; // turn on fusion of external vision yaw measurements and disable all magnetometer fusion _control_status.flags.ev_yaw = true; _control_status.flags.mag_dec = false; stopMagHdgFusion(); stopMag3DFusion(); ECL_INFO_TIMESTAMPED("commencing external vision yaw fusion"); } } // determine if we should use the horizontal position observations if (_control_status.flags.ev_pos) { Vector3f ev_pos_obs_var{}; Vector2f ev_pos_innov_gates{}; // correct position and height for offset relative to IMU Vector3f pos_offset_body = _params.ev_pos_body - _params.imu_pos_body; Vector3f pos_offset_earth = _R_to_earth * pos_offset_body; _ev_sample_delayed.pos(0) -= pos_offset_earth(0); _ev_sample_delayed.pos(1) -= pos_offset_earth(1); _ev_sample_delayed.pos(2) -= pos_offset_earth(2); // Use an incremental position fusion method for EV position data if GPS is also used if (_params.fusion_mode & MASK_USE_GPS) { _fuse_hpos_as_odom = true; } else { _fuse_hpos_as_odom = false; } if (_fuse_hpos_as_odom) { if (!_hpos_prev_available) { // no previous observation available to calculate position change _fuse_pos = false; _hpos_prev_available = true; } else { // calculate the change in position since the last measurement Vector3f ev_delta_pos = _ev_sample_delayed.pos - _pos_meas_prev; // rotate measurement into body frame is required when fusing with GPS ev_delta_pos = _ev_rot_mat * ev_delta_pos; // use the change in position since the last measurement _ev_pos_innov(0) = _state.pos(0) - _hpos_pred_prev(0) - ev_delta_pos(0); _ev_pos_innov(1) = _state.pos(1) - _hpos_pred_prev(1) - ev_delta_pos(1); // observation 1-STD error, incremental pos observation is expected to have more uncertainty ev_pos_obs_var(0) = ev_pos_obs_var(1) = sq(fmaxf(_ev_sample_delayed.posErr, 0.5f)); } // record observation and estimate for use next time _pos_meas_prev = _ev_sample_delayed.pos; _hpos_pred_prev(0) = _state.pos(0); _hpos_pred_prev(1) = _state.pos(1); } else { // use the absolute position Vector3f ev_pos_meas = _ev_sample_delayed.pos; if (_params.fusion_mode & MASK_ROTATE_EV) { ev_pos_meas = _ev_rot_mat * ev_pos_meas; } _ev_pos_innov(0) = _state.pos(0) - ev_pos_meas(0); _ev_pos_innov(1) = _state.pos(1) - ev_pos_meas(1); // observation 1-STD error ev_pos_obs_var(0) = ev_pos_obs_var(1) = sq(fmaxf(_ev_sample_delayed.posErr, 0.01f)); // check if we have been deadreckoning too long if ((_time_last_imu - _time_last_hor_pos_fuse) > _params.reset_timeout_max) { // don't reset velocity if we have another source of aiding constraining it if (((_time_last_imu - _time_last_of_fuse) > (uint64_t)1E6) && ((_time_last_imu - _time_last_hor_vel_fuse) > (uint64_t)1E6)) { resetVelocity(); } resetPosition(); } } // innovation gate size ev_pos_innov_gates(0) = fmaxf(_params.ev_pos_innov_gate, 1.0f); fuseHorizontalPosition(_ev_pos_innov, ev_pos_innov_gates, ev_pos_obs_var, _ev_pos_innov_var, _ev_pos_test_ratio); } // determine if we should use the velocity observations if (_control_status.flags.ev_vel) { Vector3f ev_vel_obs_var{}; Vector2f ev_vel_innov_gates{}; Vector3f vel_aligned{_ev_sample_delayed.vel}; // rotate measurement into correct earth frame if required if (_params.fusion_mode & MASK_ROTATE_EV) { vel_aligned = _ev_rot_mat * _ev_sample_delayed.vel; } // correct velocity for offset relative to IMU Vector3f ang_rate = _imu_sample_delayed.delta_ang * (1.0f / _imu_sample_delayed.delta_ang_dt); Vector3f pos_offset_body = _params.ev_pos_body - _params.imu_pos_body; Vector3f vel_offset_body = cross_product(ang_rate, pos_offset_body); Vector3f vel_offset_earth = _R_to_earth * vel_offset_body; vel_aligned -= vel_offset_earth; _ev_vel_innov(0) = _state.vel(0) - vel_aligned(0); _ev_vel_innov(1) = _state.vel(1) - vel_aligned(1); _ev_vel_innov(2) = _state.vel(2) - vel_aligned(2); // check if we have been deadreckoning too long if ((_time_last_imu - _time_last_hor_vel_fuse) > _params.reset_timeout_max) { // don't reset velocity if we have another source of aiding constraining it if (((_time_last_imu - _time_last_of_fuse) > (uint64_t)1E6) && ((_time_last_imu - _time_last_hor_pos_fuse) > (uint64_t)1E6)) { resetVelocity(); } } // observation 1-STD error ev_vel_obs_var(0) = ev_vel_obs_var(1) = ev_vel_obs_var(2) = sq(fmaxf(_ev_sample_delayed.velErr, 0.01f)); // innovation gate size ev_vel_innov_gates(0) = ev_vel_innov_gates(1) = fmaxf(_params.ev_vel_innov_gate, 1.0f); fuseHorizontalVelocity(_ev_vel_innov, ev_vel_innov_gates,ev_vel_obs_var, _ev_vel_innov_var, _ev_vel_test_ratio); fuseVerticalVelocity(_ev_vel_innov, ev_vel_innov_gates, ev_vel_obs_var, _ev_vel_innov_var, _ev_vel_test_ratio); } // determine if we should use the yaw observation if (_control_status.flags.ev_yaw) { fuseHeading(); } } else if ((_control_status.flags.ev_pos || _control_status.flags.ev_vel) && (_time_last_imu >= _time_last_ext_vision) && ((_time_last_imu - _time_last_ext_vision) > (uint64_t)_params.reset_timeout_max)) { // Turn off EV fusion mode if no data has been received stopEvFusion(); ECL_INFO_TIMESTAMPED("External Vision Data Stopped"); } } void Ekf::controlOpticalFlowFusion() { // Check if on ground motion is un-suitable for use of optical flow if (!_control_status.flags.in_air) { // When on ground check if the vehicle is being shaken or moved in a way that could cause a loss of navigation const float accel_norm = _accel_vec_filt.norm(); const bool motion_is_excessive = ((accel_norm > (CONSTANTS_ONE_G * 1.5f)) // upper g limit || (accel_norm < (CONSTANTS_ONE_G * 0.5f)) // lower g limit || (_ang_rate_mag_filt > _flow_max_rate) // angular rate exceeds flow sensor limit || (_R_to_earth(2,2) < cosf(math::radians(30.0f)))); // tilted excessively if (motion_is_excessive) { _time_bad_motion_us = _imu_sample_delayed.time_us; } else { _time_good_motion_us = _imu_sample_delayed.time_us; } } else { _time_bad_motion_us = 0; _time_good_motion_us = _imu_sample_delayed.time_us; } // Accumulate autopilot gyro data across the same time interval as the flow sensor _imu_del_ang_of += _imu_sample_delayed.delta_ang - _state.delta_ang_bias; _delta_time_of += _imu_sample_delayed.delta_ang_dt; // New optical flow data is available and is ready to be fused when the midpoint of the sample falls behind the fusion time horizon if (_flow_data_ready) { // Inhibit flow use if motion is un-suitable or we have good quality GPS // Apply hysteresis to prevent rapid mode switching float gps_err_norm_lim; if (_control_status.flags.opt_flow) { gps_err_norm_lim = 0.7f; } else { gps_err_norm_lim = 1.0f; } // Check if we are in-air and require optical flow to control position drift bool flow_required = _control_status.flags.in_air && (_is_dead_reckoning // is doing inertial dead-reckoning so must constrain drift urgently || (_control_status.flags.opt_flow && !_control_status.flags.gps && !_control_status.flags.ev_pos && !_control_status.flags.ev_vel) // is completely reliant on optical flow || (_control_status.flags.gps && (_gps_error_norm > gps_err_norm_lim))); // is using GPS, but GPS is bad if (!_inhibit_flow_use && _control_status.flags.opt_flow) { // inhibit use of optical flow if motion is unsuitable and we are not reliant on it for flight navigation bool preflight_motion_not_ok = !_control_status.flags.in_air && ((_imu_sample_delayed.time_us - _time_good_motion_us) > (uint64_t)1E5); bool flight_motion_not_ok = _control_status.flags.in_air && !isRangeAidSuitable(); if ((preflight_motion_not_ok || flight_motion_not_ok) && !flow_required) { _inhibit_flow_use = true; } } else if (_inhibit_flow_use && !_control_status.flags.opt_flow){ // allow use of optical flow if motion is suitable or we are reliant on it for flight navigation bool preflight_motion_ok = !_control_status.flags.in_air && ((_imu_sample_delayed.time_us - _time_bad_motion_us) > (uint64_t)5E6); bool flight_motion_ok = _control_status.flags.in_air && isRangeAidSuitable(); if (preflight_motion_ok || flight_motion_ok || flow_required) { _inhibit_flow_use = false; } } // Handle cases where we are using optical flow but are no longer able to because data is old // or its use has been inhibited. if (_control_status.flags.opt_flow) { if (_inhibit_flow_use) { stopFlowFusion(); _time_last_of_fuse = 0; } else if ((_time_last_imu - _time_last_of_fuse) > (uint64_t)_params.reset_timeout_max) { stopFlowFusion(); } } // optical flow fusion mode selection logic if ((_params.fusion_mode & MASK_USE_OF) // optical flow has been selected by the user && !_control_status.flags.opt_flow // we are not yet using flow data && _control_status.flags.tilt_align // we know our tilt attitude && !_inhibit_flow_use && isTerrainEstimateValid()) { // If the heading is not aligned, reset the yaw and magnetic field states if (!_control_status.flags.yaw_align) { _control_status.flags.yaw_align = resetMagHeading(_mag_lpf.getState()); } // If the heading is valid and use is not inhibited , start using optical flow aiding if (_control_status.flags.yaw_align) { // set the flag and reset the fusion timeout _control_status.flags.opt_flow = true; _time_last_of_fuse = _time_last_imu; // if we are not using GPS or external vision aiding, then the velocity and position states and covariances need to be set const bool flow_aid_only = !(_control_status.flags.gps || _control_status.flags.ev_pos || _control_status.flags.ev_vel); if (flow_aid_only) { resetVelocity(); resetPosition(); // align the output observer to the EKF states alignOutputFilter(); } } } else if (!(_params.fusion_mode & MASK_USE_OF)) { _control_status.flags.opt_flow = false; } // handle the case when we have optical flow, are reliant on it, but have not been using it for an extended period if (_control_status.flags.opt_flow && !_control_status.flags.gps && !_control_status.flags.ev_pos && !_control_status.flags.ev_vel) { bool do_reset = ((_time_last_imu - _time_last_of_fuse) > _params.reset_timeout_max); if (do_reset) { resetVelocity(); resetPosition(); } } // Only fuse optical flow if valid body rate compensation data is available if (calcOptFlowBodyRateComp()) { bool flow_quality_good = (_flow_sample_delayed.quality >= _params.flow_qual_min); if (!flow_quality_good && !_control_status.flags.in_air) { // when on the ground with poor flow quality, assume zero ground relative velocity and LOS rate _flowRadXYcomp.zero(); } else { // compensate for body motion to give a LOS rate _flowRadXYcomp(0) = _flow_sample_delayed.flowRadXY(0) - _flow_sample_delayed.gyroXYZ(0); _flowRadXYcomp(1) = _flow_sample_delayed.flowRadXY(1) - _flow_sample_delayed.gyroXYZ(1); } } else { // don't use this flow data and wait for the next data to arrive _flow_data_ready = false; } } // Wait until the midpoint of the flow sample has fallen behind the fusion time horizon if (_flow_data_ready && (_imu_sample_delayed.time_us > _flow_sample_delayed.time_us - uint32_t(1e6f * _flow_sample_delayed.dt) / 2)) { // Fuse optical flow LOS rate observations into the main filter only if height above ground has been updated recently // but use a relaxed time criteria to enable it to coast through bad range finder data if (_control_status.flags.opt_flow && ((_time_last_imu - _time_last_hagl_fuse) < (uint64_t)10e6)) { fuseOptFlow(); _last_known_posNE(0) = _state.pos(0); _last_known_posNE(1) = _state.pos(1); } _flow_data_ready = false; } } void Ekf::controlGpsFusion() { // Check for new GPS data that has fallen behind the fusion time horizon if (_gps_data_ready) { // GPS yaw aiding selection logic if ((_params.fusion_mode & MASK_USE_GPSYAW) && ISFINITE(_gps_sample_delayed.yaw) && _control_status.flags.tilt_align && (!_control_status.flags.gps_yaw || !_control_status.flags.yaw_align) && ((_time_last_imu - _time_last_gps) < (2 * GPS_MAX_INTERVAL))) { if (resetGpsAntYaw()) { // flag the yaw as aligned _control_status.flags.yaw_align = true; // turn on fusion of external vision yaw measurements and disable all other yaw fusion _control_status.flags.gps_yaw = true; _control_status.flags.ev_yaw = false; _control_status.flags.mag_dec = false; stopMagHdgFusion(); stopMag3DFusion(); ECL_INFO_TIMESTAMPED("commencing GPS yaw fusion"); } } // fuse the yaw observation if (_control_status.flags.gps_yaw) { fuseGpsAntYaw(); } // Determine if we should use GPS aiding for velocity and horizontal position // To start using GPS we need angular alignment completed, the local NED origin set and GPS data that has not failed checks recently bool gps_checks_passing = (_time_last_imu - _last_gps_fail_us > (uint64_t)5e6); bool gps_checks_failing = (_time_last_imu - _last_gps_pass_us > (uint64_t)5e6); if ((_params.fusion_mode & MASK_USE_GPS) && !_control_status.flags.gps) { if (_control_status.flags.tilt_align && _NED_origin_initialised && gps_checks_passing) { // If the heading is not aligned, reset the yaw and magnetic field states // Do not use external vision for yaw if using GPS because yaw needs to be // defined relative to an NED reference frame const bool want_to_reset_mag_heading = !_control_status.flags.yaw_align || _control_status.flags.ev_yaw || _mag_inhibit_yaw_reset_req; if (want_to_reset_mag_heading && canResetMagHeading()) { _control_status.flags.ev_yaw = false; _control_status.flags.yaw_align = resetMagHeading(_mag_lpf.getState()); // Handle the special case where we have not been constraining yaw drift or learning yaw bias due // to assumed invalid mag field associated with indoor operation with a downwards looking flow sensor. if (_mag_inhibit_yaw_reset_req) { _mag_inhibit_yaw_reset_req = false; // Zero the yaw bias covariance and set the variance to the initial alignment uncertainty setDiag(P, 12, 12, sq(_params.switch_on_gyro_bias * FILTER_UPDATE_PERIOD_S)); } } // If the heading is valid start using gps aiding if (_control_status.flags.yaw_align) { // if we are not already aiding with optical flow, then we need to reset the position and velocity // otherwise we only need to reset the position _control_status.flags.gps = true; if (!_control_status.flags.opt_flow) { if (!resetPosition() || !resetVelocity()) { _control_status.flags.gps = false; } } else if (!resetPosition()) { _control_status.flags.gps = false; } if (_control_status.flags.gps) { ECL_INFO_TIMESTAMPED("commencing GPS fusion"); _time_last_gps = _time_last_imu; } } } } else if (!(_params.fusion_mode & MASK_USE_GPS)) { _control_status.flags.gps = false; } // Handle the case where we are using GPS and another source of aiding and GPS is failing checks if (_control_status.flags.gps && gps_checks_failing && (_control_status.flags.opt_flow || _control_status.flags.ev_pos || _control_status.flags.ev_vel)) { stopGpsFusion(); // Reset position state to external vision if we are going to use absolute values if (_control_status.flags.ev_pos && !(_params.fusion_mode & MASK_ROTATE_EV)) { resetPosition(); } ECL_WARN_TIMESTAMPED("GPS data quality poor - stopping use"); } // handle the case when we now have GPS, but have not been using it for an extended period if (_control_status.flags.gps) { // We are relying on aiding to constrain drift so after a specified time // with no aiding we need to do something bool do_reset = ((_time_last_imu - _time_last_hor_pos_fuse) > _params.reset_timeout_max) && ((_time_last_imu - _time_last_delpos_fuse) > _params.reset_timeout_max) && ((_time_last_imu - _time_last_hor_vel_fuse) > _params.reset_timeout_max) && ((_time_last_imu - _time_last_of_fuse) > _params.reset_timeout_max); // We haven't had an absolute position fix for a longer time so need to do something do_reset = do_reset || ((_time_last_imu - _time_last_hor_pos_fuse) > (2 * _params.reset_timeout_max)); if (do_reset) { // use GPS velocity data to check and correct yaw angle if a FW vehicle if (_control_status.flags.fixed_wing && _control_status.flags.in_air) { // if flying a fixed wing aircraft, do a complete reset that includes yaw _control_status.flags.mag_aligned_in_flight = realignYawGPS(); } resetVelocity(); resetPosition(); _velpos_reset_request = false; ECL_WARN_TIMESTAMPED("GPS fusion timeout - reset to GPS"); // Reset the timeout counters _time_last_hor_pos_fuse = _time_last_imu; _time_last_hor_vel_fuse = _time_last_imu; } } // Only use GPS data for position and velocity aiding if enabled if (_control_status.flags.gps) { Vector2f gps_vel_innov_gates{}; // [horizontal vertical] Vector2f gps_pos_innov_gates{}; // [horizontal vertical] Vector3f gps_vel_obs_var{}; Vector3f gps_pos_obs_var{}; // correct velocity for offset relative to IMU Vector3f ang_rate = _imu_sample_delayed.delta_ang * (1.0f / _imu_sample_delayed.delta_ang_dt); Vector3f pos_offset_body = _params.gps_pos_body - _params.imu_pos_body; Vector3f vel_offset_body = cross_product(ang_rate, pos_offset_body); Vector3f vel_offset_earth = _R_to_earth * vel_offset_body; _gps_sample_delayed.vel -= vel_offset_earth; // correct position and height for offset relative to IMU Vector3f pos_offset_earth = _R_to_earth * pos_offset_body; _gps_sample_delayed.pos(0) -= pos_offset_earth(0); _gps_sample_delayed.pos(1) -= pos_offset_earth(1); _gps_sample_delayed.hgt += pos_offset_earth(2); // calculate observation process noise float lower_limit = fmaxf(_params.gps_pos_noise, 0.01f); if (_control_status.flags.opt_flow || _control_status.flags.ev_pos || _control_status.flags.ev_vel) { // if we are using other sources of aiding, then relax the upper observation // noise limit which prevents bad GPS perturbing the position estimate gps_pos_obs_var(0) = gps_pos_obs_var(1) = sq(fmaxf(_gps_sample_delayed.hacc, lower_limit)); } else { // if we are not using another source of aiding, then we are reliant on the GPS // observations to constrain attitude errors and must limit the observation noise value. float upper_limit = fmaxf(_params.pos_noaid_noise, lower_limit); gps_pos_obs_var(0) = gps_pos_obs_var(1) = sq(math::constrain(_gps_sample_delayed.hacc, lower_limit, upper_limit)); } gps_vel_obs_var(0) = gps_vel_obs_var(1) = gps_vel_obs_var(2) = sq(fmaxf(_gps_sample_delayed.sacc, _params.gps_vel_noise)); gps_vel_obs_var(2) = sq(1.5f) * gps_vel_obs_var(2); // calculate innovations _gps_vel_innov(0) = _state.vel(0) - _gps_sample_delayed.vel(0); _gps_vel_innov(1) = _state.vel(1) - _gps_sample_delayed.vel(1); _gps_vel_innov(2) = _state.vel(2) - _gps_sample_delayed.vel(2); _gps_pos_innov(0) = _state.pos(0) - _gps_sample_delayed.pos(0); _gps_pos_innov(1) = _state.pos(1) - _gps_sample_delayed.pos(1); // set innovation gate size gps_pos_innov_gates(0) = fmaxf(_params.gps_pos_innov_gate, 1.0f); gps_vel_innov_gates(0) = gps_vel_innov_gates(1) = fmaxf(_params.gps_vel_innov_gate, 1.0f); // fuse GPS measurement fuseHorizontalVelocity(_gps_vel_innov, gps_vel_innov_gates,gps_vel_obs_var, _gps_vel_innov_var, _gps_vel_test_ratio); fuseVerticalVelocity(_gps_vel_innov, gps_vel_innov_gates, gps_vel_obs_var, _gps_vel_innov_var, _gps_vel_test_ratio); fuseHorizontalPosition(_gps_pos_innov, gps_pos_innov_gates, gps_pos_obs_var, _gps_pos_innov_var, _gps_pos_test_ratio); } } else if (_control_status.flags.gps && (_imu_sample_delayed.time_us - _gps_sample_delayed.time_us > (uint64_t)10e6)) { stopGpsFusion(); ECL_WARN_TIMESTAMPED("GPS data stopped"); } else if (_control_status.flags.gps && (_imu_sample_delayed.time_us - _gps_sample_delayed.time_us > (uint64_t)1e6) && (_control_status.flags.opt_flow || _control_status.flags.ev_pos || _control_status.flags.ev_vel)) { // Handle the case where we are fusing another position source along GPS, // stop waiting for GPS after 1 s of lost signal stopGpsFusion(); ECL_WARN_TIMESTAMPED("GPS data stopped, using only EV or OF"); } } void Ekf::controlHeightSensorTimeouts() { /* * Handle the case where we have not fused height measurements recently and * uncertainty exceeds the max allowable. Reset using the best available height * measurement source, continue using it after the reset and declare the current * source failed if we have switched. */ // Check for IMU accelerometer vibration induced clipping as evidenced by the vertical innovations being positive and not stale. // Clipping causes the average accel reading to move towards zero which makes the INS think it is falling and produces positive vertical innovations float var_product_lim = sq(_params.vert_innov_test_lim) * sq(_params.vert_innov_test_lim); bool bad_vert_accel = (_control_status.flags.baro_hgt && // we can only run this check if vertical position and velocity observations are independent (sq(_gps_pos_innov(2) * fmaxf(fabsf(_gps_vel_innov(2)),fabsf(_ev_vel_innov(2)))) > var_product_lim * (_gps_pos_innov_var(2) * fmaxf(fabsf(_gps_vel_innov_var(2)),fabsf(_ev_vel_innov_var(2))))) && // vertical position and velocity sensors are in agreement that we have a significant error (_gps_vel_innov(2) > 0.0f || _ev_vel_innov(2) > 0.0f) && // positive innovation indicates that the inertial nav thinks it is falling ((_imu_sample_delayed.time_us - _baro_sample_delayed.time_us) < 2 * BARO_MAX_INTERVAL) && // vertical position data is fresh ((_imu_sample_delayed.time_us - _gps_sample_delayed.time_us) < 2 * GPS_MAX_INTERVAL)); // vertical velocity data is fresh // record time of last bad vert accel if (bad_vert_accel) { _time_bad_vert_accel = _time_last_imu; } else { _time_good_vert_accel = _time_last_imu; } // declare a bad vertical acceleration measurement and make the declaration persist // for a minimum of 10 seconds if (_bad_vert_accel_detected) { _bad_vert_accel_detected = (_time_last_imu - _time_bad_vert_accel < BADACC_PROBATION); } else { _bad_vert_accel_detected = bad_vert_accel; } // check if height is continuously failing because of accel errors bool continuous_bad_accel_hgt = ((_time_last_imu - _time_good_vert_accel) > (unsigned)_params.bad_acc_reset_delay_us); // check if height has been inertial deadreckoning for too long bool hgt_fusion_timeout = ((_time_last_imu - _time_last_hgt_fuse) > (uint64_t)5e6); // reset the vertical position and velocity states if (hgt_fusion_timeout || continuous_bad_accel_hgt) { // boolean that indicates we will do a height reset bool reset_height = false; // handle the case where we are using baro for height if (_control_status.flags.baro_hgt) { // check if GPS height is available const gpsSample &gps_init = _gps_buffer.get_newest(); bool gps_hgt_accurate = (gps_init.vacc < _params.req_vacc); const baroSample &baro_init = _baro_buffer.get_newest(); bool baro_hgt_available = ((_time_last_imu - baro_init.time_us) < 2 * BARO_MAX_INTERVAL); // check for inertial sensing errors in the last 10 seconds bool prev_bad_vert_accel = (_time_last_imu - _time_bad_vert_accel < BADACC_PROBATION); // reset to GPS if adequate GPS data is available and the timeout cannot be blamed on IMU data bool reset_to_gps = !_gps_hgt_intermittent && gps_hgt_accurate && !prev_bad_vert_accel; // reset to GPS if GPS data is available and there is no Baro data reset_to_gps = reset_to_gps || (!_gps_hgt_intermittent && !baro_hgt_available); // reset to Baro if we are not doing a GPS reset and baro data is available bool reset_to_baro = !reset_to_gps && baro_hgt_available; if (reset_to_gps) { // set height sensor health _baro_hgt_faulty = true; // reset the height mode setControlGPSHeight(); // request a reset reset_height = true; ECL_WARN_TIMESTAMPED("baro hgt timeout - reset to GPS"); } else if (reset_to_baro) { // set height sensor health _baro_hgt_faulty = false; // reset the height mode setControlBaroHeight(); // request a reset reset_height = true; ECL_WARN_TIMESTAMPED("baro hgt timeout - reset to baro"); } else { // we have nothing we can reset to // deny a reset reset_height = false; } } // handle the case we are using GPS for height if (_control_status.flags.gps_hgt) { // check if GPS height is available const gpsSample &gps_init = _gps_buffer.get_newest(); bool gps_hgt_accurate = (gps_init.vacc < _params.req_vacc); // check the baro height source for consistency and freshness const baroSample &baro_init = _baro_buffer.get_newest(); bool baro_data_fresh = ((_time_last_imu - baro_init.time_us) < 2 * BARO_MAX_INTERVAL); float baro_innov = _state.pos(2) - (_hgt_sensor_offset - baro_init.hgt + _baro_hgt_offset); bool baro_data_consistent = fabsf(baro_innov) < (sq(_params.baro_noise) + P[9][9]) * sq(_params.baro_innov_gate); // if baro data is acceptable and GPS data is inaccurate, reset height to baro bool reset_to_baro = baro_data_consistent && baro_data_fresh && !_baro_hgt_faulty && !gps_hgt_accurate; // if GPS height is unavailable and baro data is available, reset height to baro reset_to_baro = reset_to_baro || (_gps_hgt_intermittent && baro_data_fresh); // if we cannot switch to baro and GPS data is available, reset height to GPS bool reset_to_gps = !reset_to_baro && !_gps_hgt_intermittent; if (reset_to_baro) { // set height sensor health _baro_hgt_faulty = false; // reset the height mode setControlBaroHeight(); // request a reset reset_height = true; ECL_WARN_TIMESTAMPED("gps hgt timeout - reset to baro"); } else if (reset_to_gps) { // reset the height mode setControlGPSHeight(); // request a reset reset_height = true; ECL_WARN_TIMESTAMPED("gps hgt timeout - reset to GPS"); } else { // we have nothing to reset to reset_height = false; } } // handle the case we are using range finder for height if (_control_status.flags.rng_hgt) { // check if baro data is available const baroSample &baro_init = _baro_buffer.get_newest(); bool baro_data_available = ((_time_last_imu - baro_init.time_us) < 2 * BARO_MAX_INTERVAL); // reset to baro if we have no range data and baro data is available bool reset_to_baro = !_rng_hgt_valid && baro_data_available; if (_rng_hgt_valid) { // reset the height mode setControlRangeHeight(); // request a reset reset_height = true; ECL_WARN_TIMESTAMPED("rng hgt timeout - reset to rng hgt"); } else if (reset_to_baro) { // set height sensor health _baro_hgt_faulty = false; // reset the height mode setControlBaroHeight(); // request a reset reset_height = true; ECL_WARN_TIMESTAMPED("rng hgt timeout - reset to baro"); } else { // we have nothing to reset to reset_height = false; } } // handle the case where we are using external vision data for height if (_control_status.flags.ev_hgt) { // check if vision data is available const extVisionSample &ev_init = _ext_vision_buffer.get_newest(); bool ev_data_available = ((_time_last_imu - ev_init.time_us) < 2 * EV_MAX_INTERVAL); // check if baro data is available const baroSample &baro_init = _baro_buffer.get_newest(); bool baro_data_available = ((_time_last_imu - baro_init.time_us) < 2 * BARO_MAX_INTERVAL); // reset to baro if we have no vision data and baro data is available bool reset_to_baro = !ev_data_available && baro_data_available; // reset to ev data if it is available bool reset_to_ev = ev_data_available; if (reset_to_baro) { // set height sensor health _baro_hgt_faulty = false; // reset the height mode setControlBaroHeight(); // request a reset reset_height = true; ECL_WARN_TIMESTAMPED("ev hgt timeout - reset to baro"); } else if (reset_to_ev) { // reset the height mode setControlEVHeight(); // request a reset reset_height = true; ECL_WARN_TIMESTAMPED("ev hgt timeout - reset to ev hgt"); } else { // we have nothing to reset to reset_height = false; } } // Reset vertical position and velocity states to the last measurement if (reset_height) { resetHeight(); // Reset the timout timer _time_last_hgt_fuse = _time_last_imu; } } } void Ekf::controlHeightFusion() { checkRangeAidSuitability(); _range_aid_mode_selected = (_params.range_aid == 1) && isRangeAidSuitable(); if (_params.vdist_sensor_type == VDIST_SENSOR_BARO) { if (_range_aid_mode_selected && _range_data_ready && _rng_hgt_valid) { setControlRangeHeight(); _fuse_height = true; // we have just switched to using range finder, calculate height sensor offset such that current // measurement matches our current height estimate if (_control_status_prev.flags.rng_hgt != _control_status.flags.rng_hgt) { if (isTerrainEstimateValid()) { _hgt_sensor_offset = _terrain_vpos; } else { _hgt_sensor_offset = _R_rng_to_earth_2_2 * _range_sample_delayed.rng + _state.pos(2); } } } else if (!_range_aid_mode_selected && _baro_data_ready && !_baro_hgt_faulty) { setControlBaroHeight(); _fuse_height = true; // we have just switched to using baro height, we don't need to set a height sensor offset // since we track a separate _baro_hgt_offset if (_control_status_prev.flags.baro_hgt != _control_status.flags.baro_hgt) { _hgt_sensor_offset = 0.0f; } // Turn off ground effect compensation if it times out if (_control_status.flags.gnd_effect) { if ((_time_last_imu - _time_last_gnd_effect_on > GNDEFFECT_TIMEOUT)) { _control_status.flags.gnd_effect = false; } } } else if (_control_status.flags.gps_hgt && _gps_data_ready && !_gps_hgt_intermittent) { // switch to gps if there was a reset to gps _fuse_height = true; // we have just switched to using gps height, calculate height sensor offset such that current // measurement matches our current height estimate if (_control_status_prev.flags.gps_hgt != _control_status.flags.gps_hgt) { _hgt_sensor_offset = _gps_sample_delayed.hgt - _gps_alt_ref + _state.pos(2); } } } // set the height data source to range if requested if ((_params.vdist_sensor_type == VDIST_SENSOR_RANGE) && _rng_hgt_valid) { setControlRangeHeight(); _fuse_height = _range_data_ready; // we have just switched to using range finder, calculate height sensor offset such that current // measurement matches our current height estimate if (_control_status_prev.flags.rng_hgt != _control_status.flags.rng_hgt) { // use the parameter rng_gnd_clearance if on ground to avoid a noisy offset initialization (e.g. sonar) if (_control_status.flags.in_air && isTerrainEstimateValid()) { _hgt_sensor_offset = _terrain_vpos; } else if (_control_status.flags.in_air) { _hgt_sensor_offset = _R_rng_to_earth_2_2 * _range_sample_delayed.rng + _state.pos(2); } else { _hgt_sensor_offset = _params.rng_gnd_clearance; } } } else if ((_params.vdist_sensor_type == VDIST_SENSOR_RANGE) && _baro_data_ready && !_baro_hgt_faulty) { setControlBaroHeight(); _fuse_height = true; // we have just switched to using baro height, we don't need to set a height sensor offset // since we track a separate _baro_hgt_offset if (_control_status_prev.flags.baro_hgt != _control_status.flags.baro_hgt) { _hgt_sensor_offset = 0.0f; } } // Determine if GPS should be used as the height source if (_params.vdist_sensor_type == VDIST_SENSOR_GPS) { if (_range_aid_mode_selected && _range_data_ready && _rng_hgt_valid) { setControlRangeHeight(); _fuse_height = true; // we have just switched to using range finder, calculate height sensor offset such that current // measurement matches our current height estimate if (_control_status_prev.flags.rng_hgt != _control_status.flags.rng_hgt) { if (isTerrainEstimateValid()) { _hgt_sensor_offset = _terrain_vpos; } else { _hgt_sensor_offset = _R_rng_to_earth_2_2 * _range_sample_delayed.rng + _state.pos(2); } } } else if (!_range_aid_mode_selected && _gps_data_ready && !_gps_hgt_intermittent && _gps_checks_passed) { setControlGPSHeight(); _fuse_height = true; // we have just switched to using gps height, calculate height sensor offset such that current // measurement matches our current height estimate if (_control_status_prev.flags.gps_hgt != _control_status.flags.gps_hgt) { _hgt_sensor_offset = _gps_sample_delayed.hgt - _gps_alt_ref + _state.pos(2); } } else if (_control_status.flags.baro_hgt && _baro_data_ready && !_baro_hgt_faulty) { // switch to baro if there was a reset to baro _fuse_height = true; // we have just switched to using baro height, we don't need to set a height sensor offset // since we track a separate _baro_hgt_offset if (_control_status_prev.flags.baro_hgt != _control_status.flags.baro_hgt) { _hgt_sensor_offset = 0.0f; } } } // Determine if we rely on EV height but switched to baro if (_params.vdist_sensor_type == VDIST_SENSOR_EV) { // don't start using EV data unless data is arriving frequently if (!_control_status.flags.ev_hgt && ((_time_last_imu - _time_last_ext_vision) < (2 * EV_MAX_INTERVAL))) { _fuse_height = true; setControlEVHeight(); resetHeight(); } if (_control_status.flags.baro_hgt && _baro_data_ready && !_baro_hgt_faulty) { // switch to baro if there was a reset to baro _fuse_height = true; // we have just switched to using baro height, we don't need to set a height sensor offset // since we track a separate _baro_hgt_offset if (_control_status_prev.flags.baro_hgt != _control_status.flags.baro_hgt) { _hgt_sensor_offset = 0.0f; } } // TODO: Add EV normal case here // determine if we should use the vertical position observation if (_control_status.flags.ev_hgt) { _fuse_height = true; } } // calculate a filtered offset between the baro origin and local NED origin if we are not using the baro as a height reference if (!_control_status.flags.baro_hgt && _baro_data_ready) { float local_time_step = 1e-6f * _delta_time_baro_us; local_time_step = math::constrain(local_time_step, 0.0f, 1.0f); // apply a 10 second first order low pass filter to baro offset float offset_rate_correction = 0.1f * (_baro_sample_delayed.hgt + _state.pos( 2) - _baro_hgt_offset); _baro_hgt_offset += local_time_step * math::constrain(offset_rate_correction, -0.1f, 0.1f); } if ((_time_last_imu - _time_last_hgt_fuse) > 2 * RNG_MAX_INTERVAL && _control_status.flags.rng_hgt && (!_range_data_ready || !_rng_hgt_valid)) { // If we are supposed to be using range finder data as the primary height sensor, have missed or rejected measurements // and are on the ground, then synthesise a measurement at the expected on ground value if (!_control_status.flags.in_air) { _range_sample_delayed.rng = _params.rng_gnd_clearance; _range_sample_delayed.time_us = _imu_sample_delayed.time_us; } _fuse_height = true; } if (_fuse_height) { if (_control_status.flags.baro_hgt) { Vector2f baro_hgt_innov_gate{}; Vector3f baro_hgt_obs_var{}; // vertical position innovation - baro measurement has opposite sign to earth z axis _baro_hgt_innov(2) = _state.pos(2) + _baro_sample_delayed.hgt - _baro_hgt_offset - _hgt_sensor_offset; // observation variance - user parameter defined baro_hgt_obs_var(2) = sq(fmaxf(_params.baro_noise, 0.01f)); // innovation gate size baro_hgt_innov_gate(1) = fmaxf(_params.baro_innov_gate, 1.0f); // Compensate for positive static pressure transients (negative vertical position innovations) // caused by rotor wash ground interaction by applying a temporary deadzone to baro innovations. float deadzone_start = 0.0f; float deadzone_end = deadzone_start + _params.gnd_effect_deadzone; if (_control_status.flags.gnd_effect) { if (_baro_hgt_innov(2) < -deadzone_start) { if (_baro_hgt_innov(2) <= -deadzone_end) { _baro_hgt_innov(2) += deadzone_end; } else { _baro_hgt_innov(2) = -deadzone_start; } } } // fuse height information fuseVerticalPosition(_baro_hgt_innov,baro_hgt_innov_gate, baro_hgt_obs_var, _baro_hgt_innov_var,_baro_hgt_test_ratio); } else if (_control_status.flags.gps_hgt) { Vector2f gps_hgt_innov_gate{}; Vector3f gps_hgt_obs_var{}; // vertical position innovation - gps measurement has opposite sign to earth z axis _gps_pos_innov(2) = _state.pos(2) + _gps_sample_delayed.hgt - _gps_alt_ref - _hgt_sensor_offset; // observation variance - receiver defined and parameter limited // use scaled horizontal position accuracy assuming typical ratio of VDOP/HDOP float lower_limit = fmaxf(_params.gps_pos_noise, 0.01f); float upper_limit = fmaxf(_params.pos_noaid_noise, lower_limit); gps_hgt_obs_var(2) = sq(1.5f * math::constrain(_gps_sample_delayed.vacc, lower_limit, upper_limit)); // innovation gate size gps_hgt_innov_gate(1) = fmaxf(_params.baro_innov_gate, 1.0f); // fuse height information fuseVerticalPosition(_gps_pos_innov,gps_hgt_innov_gate, gps_hgt_obs_var, _gps_pos_innov_var,_gps_pos_test_ratio); } else if (_control_status.flags.rng_hgt && (_R_rng_to_earth_2_2 > _params.range_cos_max_tilt)) { // TODO: Tilt check does not belong here, should not set fuse height to true if tilted Vector2f rng_hgt_innov_gate{}; Vector3f rng_hgt_obs_var{}; // use range finder with tilt correction _rng_hgt_innov(2) = _state.pos(2) - (-math::max(_range_sample_delayed.rng * _R_rng_to_earth_2_2, _params.rng_gnd_clearance)) - _hgt_sensor_offset; // observation variance - user parameter defined rng_hgt_obs_var(2) = fmaxf((sq(_params.range_noise) + sq(_params.range_noise_scaler * _range_sample_delayed.rng)) * sq(_R_rng_to_earth_2_2), 0.01f); // innovation gate size rng_hgt_innov_gate(1) = fmaxf(_params.range_innov_gate, 1.0f); // fuse height information fuseVerticalPosition(_rng_hgt_innov,rng_hgt_innov_gate, rng_hgt_obs_var, _rng_hgt_innov_var,_rng_hgt_test_ratio); } else if (_control_status.flags.ev_hgt) { Vector2f ev_hgt_innov_gate{}; Vector3f ev_hgt_obs_var{}; // calculate the innovation assuming the external vision observation is in local NED frame _ev_pos_innov(2) = _state.pos(2) - _ev_sample_delayed.pos(2); // observation variance - defined externally ev_hgt_obs_var(2) = sq(fmaxf(_ev_sample_delayed.hgtErr, 0.01f)); // innovation gate size ev_hgt_innov_gate(1) = fmaxf(_params.ev_pos_innov_gate, 1.0f); // fuse height information fuseVerticalPosition(_ev_pos_innov,ev_hgt_innov_gate, ev_hgt_obs_var, _ev_pos_innov_var,_ev_pos_test_ratio); } } } void Ekf::checkRangeAidSuitability() { const bool horz_vel_valid = _control_status.flags.gps || _control_status.flags.ev_pos || _control_status.flags.ev_vel || _control_status.flags.opt_flow; if (_control_status.flags.in_air && _rng_hgt_valid && isTerrainEstimateValid() && horz_vel_valid) { // check if we can use range finder measurements to estimate height, use hysteresis to avoid rapid switching // Note that the 0.7 coefficients and the innovation check are arbitrary values but work well in practice const bool is_in_range = _is_range_aid_suitable ? (_terrain_vpos - _state.pos(2) < _params.max_hagl_for_range_aid) : (_terrain_vpos - _state.pos(2) < _params.max_hagl_for_range_aid * 0.7f); const float ground_vel = sqrtf(_state.vel(0) * _state.vel(0) + _state.vel(1) * _state.vel(1)); const bool is_below_max_speed = _is_range_aid_suitable ? ground_vel < _params.max_vel_for_range_aid : ground_vel < _params.max_vel_for_range_aid * 0.7f; const bool is_hagl_stable = _is_range_aid_suitable ? ((_hagl_innov * _hagl_innov / (sq(_params.range_aid_innov_gate) * _hagl_innov_var)) < 1.0f) : ((_hagl_innov * _hagl_innov / (sq(_params.range_aid_innov_gate) * _hagl_innov_var)) < 0.01f); _is_range_aid_suitable = is_in_range && is_below_max_speed && is_hagl_stable; } else { _is_range_aid_suitable = false; } } void Ekf::controlAirDataFusion() { // control activation and initialisation/reset of wind states required for airspeed fusion // If both airspeed and sideslip fusion have timed out and we are not using a drag observation model then we no longer have valid wind estimates bool airspeed_timed_out = ((_time_last_imu - _time_last_arsp_fuse) > (uint64_t)10e6); bool sideslip_timed_out = ((_time_last_imu - _time_last_beta_fuse) > (uint64_t)10e6); if (_control_status.flags.wind && airspeed_timed_out && sideslip_timed_out && !(_params.fusion_mode & MASK_USE_DRAG)) { _control_status.flags.wind = false; } if (_control_status.flags.fuse_aspd && airspeed_timed_out) { _control_status.flags.fuse_aspd = false; } // Always try to fuse airspeed data if available and we are in flight if (_tas_data_ready && _control_status.flags.in_air) { // always fuse airsped data if we are flying and data is present if (!_control_status.flags.fuse_aspd) { _control_status.flags.fuse_aspd = true; } // 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 timout timer to prevent repeated resets _time_last_arsp_fuse = _time_last_imu; _time_last_beta_fuse = _time_last_imu; // reset the wind speed states and corresponding covariances resetWindStates(); resetWindCovariance(); } fuseAirspeed(); } } void Ekf::controlBetaFusion() { // control activation and initialisation/reset of wind states required for synthetic sideslip fusion fusion // If both airspeed and sideslip fusion have timed out and we are not using a drag observation model then we no longer have valid wind estimates bool sideslip_timed_out = ((_time_last_imu - _time_last_beta_fuse) > (uint64_t)10e6); bool airspeed_timed_out = ((_time_last_imu - _time_last_arsp_fuse) > (uint64_t)10e6); if (_control_status.flags.wind && airspeed_timed_out && sideslip_timed_out && !(_params.fusion_mode & MASK_USE_DRAG)) { _control_status.flags.wind = false; } // Perform synthetic sideslip fusion when in-air and sideslip fuson had been enabled externally in addition to the following criteria: // Sufficient time has lapsed sice the last fusion bool beta_fusion_time_triggered = ((_time_last_imu - _time_last_beta_fuse) > _params.beta_avg_ft_us); if (beta_fusion_time_triggered && _control_status.flags.fuse_beta && _control_status.flags.in_air) { // 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 timeout timers to prevent repeated resets _time_last_beta_fuse = _time_last_imu; _time_last_arsp_fuse = _time_last_imu; // reset the wind speed states and corresponding covariances resetWindStates(); resetWindCovariance(); } fuseSideslip(); } } void Ekf::controlDragFusion() { if (_params.fusion_mode & MASK_USE_DRAG) { if (_control_status.flags.in_air && !_mag_inhibit_yaw_reset_req) { if (!_control_status.flags.wind) { // reset the wind states and covariances when starting drag accel fusion _control_status.flags.wind = true; resetWindStates(); resetWindCovariance(); } else if (_drag_buffer.pop_first_older_than(_imu_sample_delayed.time_us, &_drag_sample_delayed)) { fuseDrag(); } } else { _control_status.flags.wind = false; } } } void Ekf::controlFakePosFusion() { // if we aren't doing any aiding, fake position measurements at the last known position to constrain drift // Coincide fake measurements with baro data for efficiency with a minimum fusion rate of 5Hz if (!_control_status.flags.gps && !_control_status.flags.opt_flow && !_control_status.flags.ev_pos && !_control_status.flags.ev_vel && !(_control_status.flags.fuse_aspd && _control_status.flags.fuse_beta)) { // We now need to use a synthetic position observation to prevent unconstrained drift of the INS states. _using_synthetic_position = true; // Fuse synthetic position observations every 200msec if (((_time_last_imu - _time_last_fake_pos) > (uint64_t)2e5) || _fuse_height) { Vector3f fake_pos_obs_var{}; Vector2f fake_pos_innov_gate{}; // Reset position and velocity states if we re-commence this aiding method if ((_time_last_imu - _time_last_fake_pos) > (uint64_t)4e5) { resetPosition(); resetVelocity(); _fuse_hpos_as_odom = false; if (_time_last_fake_pos != 0) { ECL_WARN_TIMESTAMPED("stopping navigation"); } } _time_last_fake_pos = _time_last_imu; if (_control_status.flags.in_air && _control_status.flags.tilt_align) { fake_pos_obs_var(0) = fake_pos_obs_var(1) = sq(fmaxf(_params.pos_noaid_noise, _params.gps_pos_noise)); } else { fake_pos_obs_var(0) = fake_pos_obs_var(1) = sq(0.5f); } _gps_pos_innov(0) = _state.pos(0) - _last_known_posNE(0); _gps_pos_innov(1) = _state.pos(1) - _last_known_posNE(1); // glitch protection is not required so set gate to a large value fake_pos_innov_gate(0) = 100.0f; fuseHorizontalPosition(_gps_pos_innov, fake_pos_innov_gate, fake_pos_obs_var, _gps_pos_innov_var, _gps_pos_test_ratio); } } else { _using_synthetic_position = false; } } void Ekf::controlAuxVelFusion() { bool data_ready = _auxvel_buffer.pop_first_older_than(_imu_sample_delayed.time_us, &_auxvel_sample_delayed); bool primary_aiding = _control_status.flags.gps || _control_status.flags.ev_pos || _control_status.flags.ev_vel || _control_status.flags.opt_flow; if (data_ready && primary_aiding) { Vector2f aux_vel_innov_gate{}; Vector3f aux_vel_obs_var{}; _aux_vel_innov(0) = _state.vel(0) - _auxvel_sample_delayed.velNE(0); _aux_vel_innov(1) = _state.vel(1) - _auxvel_sample_delayed.velNE(1); aux_vel_innov_gate(0) = _params.auxvel_gate; aux_vel_obs_var(0) = _auxvel_sample_delayed.velVarNE(0); aux_vel_obs_var(1) = _auxvel_sample_delayed.velVarNE(1); fuseHorizontalVelocity(_aux_vel_innov, aux_vel_innov_gate, aux_vel_obs_var, _aux_vel_innov_var, _aux_vel_test_ratio); } }