/**************************************************************************** * * Copyright (c) 2019 PX4 Development Team. 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 PX4 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 AirspeedValidator.cpp * Estimates airspeed scale error (from indicated to calibrated airspeed), performes * checks on airspeed measurement input and reports airspeed valid or invalid. */ #include "AirspeedValidator.hpp" void AirspeedValidator::update_airspeed_validator(const airspeed_validator_update_data &input_data) { // get indicated airspeed from input data (raw airspeed) _IAS = input_data.airspeed_indicated_raw; // to be able to detect missing data, save timestamp (used in data_missing check) if (input_data.airspeed_timestamp != _previous_airspeed_timestamp && input_data.airspeed_timestamp > 0) { _time_last_airspeed = input_data.timestamp; _previous_airspeed_timestamp = input_data.airspeed_timestamp; } update_CAS_scale(); update_CAS_TAS(input_data.air_pressure_pa, input_data.air_temperature_celsius); update_wind_estimator(input_data.timestamp, input_data.airspeed_true_raw, input_data.lpos_valid, input_data.lpos_vx, input_data.lpos_vy, input_data.lpos_vz, input_data.lpos_evh, input_data.lpos_evv, input_data.att_q); update_in_fixed_wing_flight(input_data.in_fixed_wing_flight); check_airspeed_innovation(input_data.timestamp, input_data.vel_test_ratio, input_data.mag_test_ratio); check_load_factor(input_data.accel_z); update_airspeed_valid_status(input_data.timestamp); } void AirspeedValidator::update_wind_estimator(const uint64_t time_now_usec, float airspeed_true_raw, bool lpos_valid, float lpos_vx, float lpos_vy, float lpos_vz, float lpos_evh, float lpos_evv, const float att_q[4]) { _wind_estimator.update(time_now_usec); if (lpos_valid && _in_fixed_wing_flight) { Vector3f vI(lpos_vx, lpos_vy, lpos_vz); Quatf q(att_q); // airspeed fusion (with raw TAS) const Vector3f vel_var{Dcmf(q) *Vector3f{lpos_evh, lpos_evh, lpos_evv}}; _wind_estimator.fuse_airspeed(time_now_usec, airspeed_true_raw, vI, Vector2f{vel_var(0), vel_var(1)}); // sideslip fusion _wind_estimator.fuse_beta(time_now_usec, vI, q); } } // this function returns the current states of the wind estimator to be published in the airspeed module wind_estimate_s AirspeedValidator::get_wind_estimator_states(uint64_t timestamp) { wind_estimate_s wind_est = {}; wind_est.timestamp = timestamp; float wind[2]; _wind_estimator.get_wind(wind); wind_est.windspeed_north = wind[0]; wind_est.windspeed_east = wind[1]; float wind_cov[2]; _wind_estimator.get_wind_var(wind_cov); wind_est.variance_north = wind_cov[0]; wind_est.variance_east = wind_cov[1]; wind_est.tas_innov = _wind_estimator.get_tas_innov(); wind_est.tas_innov_var = _wind_estimator.get_tas_innov_var(); wind_est.beta_innov = _wind_estimator.get_beta_innov(); wind_est.beta_innov_var = _wind_estimator.get_beta_innov_var(); wind_est.tas_scale = _wind_estimator.get_tas_scale(); return wind_est; } void AirspeedValidator::set_airspeed_scale_manual(float airspeed_scale_manual) { _airspeed_scale_manual = airspeed_scale_manual; _wind_estimator.enforce_airspeed_scale(1.0f / airspeed_scale_manual); // scale is inverted inside the wind estimator } void AirspeedValidator::update_CAS_scale() { if (_wind_estimator.is_estimate_valid()) { _CAS_scale = 1.0f / math::constrain(_wind_estimator.get_tas_scale(), 0.5f, 2.0f); } else { _CAS_scale = _airspeed_scale_manual; } } void AirspeedValidator::update_CAS_TAS(float air_pressure_pa, float air_temperature_celsius) { _CAS = calc_CAS_from_IAS(_IAS, _CAS_scale); _TAS = calc_TAS_from_CAS(_CAS, air_pressure_pa, air_temperature_celsius); } void AirspeedValidator::check_airspeed_innovation(uint64_t time_now, float estimator_status_vel_test_ratio, float estimator_status_mag_test_ratio) { // Check normalised innovation levels with requirement for continuous data and use of hysteresis // to prevent false triggering. if (_wind_estimator.get_wind_estimator_reset()) { _time_wind_estimator_initialized = time_now; } // reset states if we are not flying if (!_in_fixed_wing_flight) { _innovations_check_failed = false; _time_last_tas_pass = time_now; _time_last_tas_fail = 0; _airspeed_valid = true; _time_last_aspd_innov_check = time_now; } else { const float dt_s = math::max((time_now - _time_last_aspd_innov_check) / 1e6f, 0.01f); // limit to 100Hz if (dt_s < 1.0f) { // compute the ratio of innovation to gate size float tas_test_ratio = _wind_estimator.get_tas_innov() * _wind_estimator.get_tas_innov() / (fmaxf(_tas_gate, 1.0f) * fmaxf(_tas_gate, 1.0f) * _wind_estimator.get_tas_innov_var()); if (tas_test_ratio <= _tas_innov_threshold) { // record pass and reset integrator used to trigger _time_last_tas_pass = time_now; _apsd_innov_integ_state = 0.0f; } else { // integrate exceedance _apsd_innov_integ_state += dt_s * (tas_test_ratio - _tas_innov_threshold); } if ((estimator_status_vel_test_ratio < 1.0f) && (estimator_status_mag_test_ratio < 1.0f)) { // nav velocity data is likely good so airspeed innovations are able to be used if ((_tas_innov_integ_threshold > 0.0f) && (_apsd_innov_integ_state > _tas_innov_integ_threshold)) { _time_last_tas_fail = time_now; } } if (!_innovations_check_failed) { _innovations_check_failed = (time_now - _time_last_tas_pass) > TAS_INNOV_FAIL_DELAY; } else { _innovations_check_failed = ((time_now - _time_last_tas_fail) < TAS_INNOV_FAIL_DELAY * 100) || (time_now - _time_wind_estimator_initialized) < TAS_INNOV_FAIL_DELAY * 100; } } _time_last_aspd_innov_check = time_now; } } void AirspeedValidator::check_load_factor(float accel_z) { // Check if the airpeed reading is lower than physically possible given the load factor if (_in_fixed_wing_flight) { float max_lift_ratio = fmaxf(_CAS, 0.7f) / fmaxf(_airspeed_stall, 1.0f); max_lift_ratio *= max_lift_ratio; _load_factor_ratio = 0.95f * _load_factor_ratio + 0.05f * (fabsf(accel_z) / 9.81f) / max_lift_ratio; _load_factor_ratio = math::constrain(_load_factor_ratio, 0.25f, 2.0f); _load_factor_check_failed = (_load_factor_ratio > 1.1f); } else { _load_factor_ratio = 0.5f; // reset if not in fixed-wing flight (and not in takeoff condition) } } void AirspeedValidator::update_airspeed_valid_status(const uint64_t timestamp) { // Declare data stopped if not received for longer than 1 second _data_stopped_failed = (timestamp - _time_last_airspeed) > 1_s; if (_innovations_check_failed || _load_factor_check_failed) { // either innovation or load factor check failed, so record timestamp _time_checks_failed = timestamp; } else if (!_innovations_check_failed && !_load_factor_check_failed) { // both innovation or load factor checks must pass to declare airspeed good _time_checks_passed = timestamp; } if (_airspeed_valid) { // A simultaneous load factor and innovaton check fail makes it more likely that a large // airspeed measurement fault has developed, so a fault should be declared immediately const bool both_checks_failed = (_innovations_check_failed && _load_factor_check_failed); // Because the innovation and load factor checks are subject to short duration false positives // a timeout period is applied. const bool single_check_fail_timeout = (timestamp - _time_checks_passed) > _checks_fail_delay * 1_s; if (_data_stopped_failed || both_checks_failed || single_check_fail_timeout) { _airspeed_valid = false; } } else if (!_data_stopped_failed && (timestamp - _time_checks_failed) > _checks_clear_delay * 1_s) { _airspeed_valid = true; } }