/**************************************************************************** * * Copyright (c) 2019-2021 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), performs * checks on airspeed measurement input and reports airspeed valid or invalid. */ #include "AirspeedValidator.hpp" AirspeedValidator::AirspeedValidator() { reset_CAS_scale_check(); //this resets all elements of the Vectors to NAN } 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; update_CAS_scale_validated(input_data.lpos_valid, input_data.ground_velocity, input_data.airspeed_true_raw); update_CAS_scale_applied(); 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.ground_velocity, input_data.lpos_evh, input_data.lpos_evv, input_data.q_att); update_in_fixed_wing_flight(input_data.in_fixed_wing_flight); check_airspeed_data_stuck(input_data.timestamp); check_load_factor(input_data.accel_z); check_airspeed_innovation(input_data.timestamp, input_data.vel_test_ratio, input_data.mag_test_ratio, input_data.ground_velocity, input_data.lpos_valid); update_airspeed_valid_status(input_data.timestamp); } void AirspeedValidator::reset_airspeed_to_invalid(const uint64_t timestamp) { _airspeed_valid = false; _time_checks_failed = timestamp; } void AirspeedValidator::update_wind_estimator(const uint64_t time_now_usec, float airspeed_true_raw, bool lpos_valid, const matrix::Vector3f &vI, float lpos_evh, float lpos_evv, const Quatf &q_att) { _wind_estimator.update(time_now_usec); if (lpos_valid && _in_fixed_wing_flight) { // airspeed fusion (with raw TAS) const float hor_vel_variance = lpos_evh * lpos_evh; _wind_estimator.fuse_airspeed(time_now_usec, airspeed_true_raw, vI, hor_vel_variance, q_att); // sideslip fusion _wind_estimator.fuse_beta(time_now_usec, vI, hor_vel_variance, q_att); } } // this function returns the current states of the wind estimator to be published in the airspeed module airspeed_wind_s AirspeedValidator::get_wind_estimator_states(uint64_t timestamp) { airspeed_wind_s wind_est = {}; wind_est.timestamp = timestamp; wind_est.windspeed_north = _wind_estimator.get_wind()(0); wind_est.windspeed_east = _wind_estimator.get_wind()(1); wind_est.variance_north = _wind_estimator.get_wind_var()(0); wind_est.variance_east = _wind_estimator.get_wind_var()(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_raw = _wind_estimator.get_tas_scale(); wind_est.tas_scale_raw_var = _wind_estimator.get_tas_scale_var(); wind_est.tas_scale_validated = _CAS_scale_validated; return wind_est; } void AirspeedValidator::update_CAS_scale_validated(bool lpos_valid, const matrix::Vector3f &vI, float airspeed_true_raw) { if (!_in_fixed_wing_flight || !lpos_valid) { return; } // reset every 100s as we assume that all the samples for current check are in similar wind conditions if (hrt_elapsed_time(&_begin_current_scale_check) > 100_s) { reset_CAS_scale_check(); } const float course_over_ground_rad = matrix::wrap_2pi(atan2f(vI(0), vI(1))); const int segment_index = int(SCALE_CHECK_SAMPLES * course_over_ground_rad / (2.f * M_PI_F)); _scale_check_groundspeed(segment_index) = vI.norm(); _scale_check_TAS(segment_index) = airspeed_true_raw; // run check if all segments are filled if (_scale_check_groundspeed.isAllFinite()) { float ground_speed_sum = 0.f; float TAS_sum = 0.f; for (int i = 0; i < SCALE_CHECK_SAMPLES; i++) { ground_speed_sum += _scale_check_groundspeed(i); TAS_sum += _scale_check_TAS(i); } const float TAS_to_groundspeed_error_current = ground_speed_sum - TAS_sum * _CAS_scale_validated; const float TAS_to_groundspeed_error_new = ground_speed_sum - TAS_sum * _wind_estimator.get_tas_scale(); // check passes if the average airspeed with the scale applied is closer to groundspeed than without if (fabsf(TAS_to_groundspeed_error_new) < fabsf(TAS_to_groundspeed_error_current)) { // constrain the scale update to max 0.05 at a time const float new_scale_constrained = math::constrain(_wind_estimator.get_tas_scale(), _CAS_scale_validated - 0.05f, _CAS_scale_validated + 0.05f); _CAS_scale_validated = new_scale_constrained; } reset_CAS_scale_check(); } } void AirspeedValidator::reset_CAS_scale_check() { _scale_check_groundspeed.setAll(NAN); _scale_check_TAS.setAll(NAN); _begin_current_scale_check = hrt_absolute_time(); } void AirspeedValidator::update_CAS_scale_applied() { switch (_tas_scale_apply) { default: /* fallthrough */ case 0: /* fallthrough */ case 1: _CAS_scale_applied = _tas_scale_init; break; case 2: _CAS_scale_applied = _CAS_scale_validated; break; } } void AirspeedValidator::update_CAS_TAS(float air_pressure_pa, float air_temperature_celsius) { _CAS = calc_CAS_from_IAS(_IAS, _CAS_scale_applied); _TAS = calc_TAS_from_CAS(_CAS, air_pressure_pa, air_temperature_celsius); } void AirspeedValidator::check_airspeed_data_stuck(uint64_t time_now) { // Data stuck test: trigger when IAS is not changing for DATA_STUCK_TIMEOUT (2s) when in fixed-wing flight. // Only consider fixed-wing flight as some airspeed sensors have a very low resolution around 0m/s and // can output the exact same value for several seconds then. if (!_data_stuck_check_enabled) { _data_stuck_test_failed = false; return; } if (fabsf(_IAS - _IAS_prev) > FLT_EPSILON || _time_last_unequal_data == 0) { _time_last_unequal_data = time_now; _IAS_prev = _IAS; } _data_stuck_test_failed = hrt_elapsed_time(&_time_last_unequal_data) > DATA_STUCK_TIMEOUT && _in_fixed_wing_flight; } void AirspeedValidator::check_airspeed_innovation(uint64_t time_now, float estimator_status_vel_test_ratio, float estimator_status_mag_test_ratio, const matrix::Vector3f &vI, bool lpos_valid) { // 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 check is disabled, we are not flying or wind estimator was just initialized/reset if (!_innovation_check_enabled || !_in_fixed_wing_flight || (time_now - _time_wind_estimator_initialized) < 5_s || _tas_innov_integ_threshold <= 0.f) { _innovations_check_failed = false; _time_last_tas_pass = time_now; _aspd_innov_integ_state = 0.f; } else if (!lpos_valid || estimator_status_vel_test_ratio > 1.f || estimator_status_mag_test_ratio > 1.f) { //nav velocity data is likely not good //don't run the test but don't reset the check if it had previously failed when nav velocity data was still likely good _time_last_tas_pass = time_now; _aspd_innov_integ_state = 0.f; } else { // nav velocity data is likely good so airspeed innovations are able to be used const float dt_s = math::constrain((time_now - _time_last_aspd_innov_check) / 1e6f, 0.01f, 0.2f); // limit to [5,100] Hz matrix::Vector2f wind_2d(_wind_estimator.get_wind()); matrix::Vector3f air_vel = vI - matrix::Vector3f {wind_2d(0), wind_2d(1), 0.f}; const float tas_innov = fabsf(_TAS - air_vel.norm()); if (tas_innov > _tas_innov_threshold) { _aspd_innov_integ_state += dt_s * (tas_innov - _tas_innov_threshold); // integrate exceedance } else { // reset integrator used to trigger and record pass if integrator check is disabled _aspd_innov_integ_state = 0.f; } if (_tas_innov_integ_threshold > 0.f && _aspd_innov_integ_state < _tas_innov_integ_threshold) { _time_last_tas_pass = time_now; } _innovations_check_failed = (time_now - _time_last_tas_pass) > TAS_INNOV_FAIL_DELAY; } _time_last_aspd_innov_check = time_now; } void AirspeedValidator::check_load_factor(float accel_z) { // Check if the airspeed reading is lower than physically possible given the load factor if (!_load_factor_check_enabled) { _load_factor_ratio = 0.5f; _load_factor_check_failed = false; return; } 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) { if (_data_stuck_test_failed || _innovations_check_failed || _load_factor_check_failed) { // at least one check (data stuck, innovation or load factor) failed, so record timestamp _time_checks_failed = timestamp; } else if (! _data_stuck_test_failed && !_innovations_check_failed && !_load_factor_check_failed) { // all checks(data stuck, innovation and load factor) 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 (both_checks_failed || single_check_fail_timeout || _data_stuck_test_failed) { _airspeed_valid = false; } } else if (_checks_clear_delay > 0.f && (timestamp - _time_checks_failed) > _checks_clear_delay * 1_s) { // re-enabling is only possible if the clear delay is positive _airspeed_valid = true; } }