/* This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program. If not, see . */ /* base class for CAN simulated devices */ #include "SIM_DroneCANDevice.h" #if AP_TEST_DRONECAN_DRIVERS #include #include #include #include #include #include #include using namespace SITL; void DroneCANDevice::update_baro() { const uint64_t now = AP_HAL::micros64(); if (((now - _baro_last_update_us) < 10000) && (_baro_last_update_us != 0)) { return; } _baro_last_update_us = now; const uint32_t now_ms = AP_HAL::millis(); float sim_alt = AP::sitl()->state.altitude; if (AP::sitl()->baro_count < 1) { // barometer is disabled return; } sim_alt += AP::sitl()->baro[0].drift * now_ms * 0.001f; sim_alt += AP::sitl()->baro[0].noise * rand_float(); // add baro glitch sim_alt += AP::sitl()->baro[0].glitch; // add delay uint32_t best_time_delta = 200; // initialise large time representing buffer entry closest to current time - delay. uint8_t best_index = 0; // initialise number representing the index of the entry in buffer closest to delay. // storing data from sensor to buffer if (now_ms - _last_store_time >= 10) { // store data every 10 ms. _last_store_time = now_ms; if (_store_index > _buffer_length - 1) { // reset buffer index if index greater than size of buffer _store_index = 0; } // if freezed barometer, report altitude to last recorded altitude if (AP::sitl()->baro[0].freeze == 1) { sim_alt = _last_altitude; } else { _last_altitude = sim_alt; } _buffer[_store_index].data = sim_alt; // add data to current index _buffer[_store_index].time = _last_store_time; // add time_stamp to current index _store_index = _store_index + 1; // increment index } // return delayed measurement const uint32_t delayed_time = now_ms - AP::sitl()->baro[0].delay; // get time corresponding to delay // find data corresponding to delayed time in buffer for (uint8_t i = 0; i <= _buffer_length - 1; i++) { // find difference between delayed time and time stamp in buffer uint32_t time_delta = abs( (int32_t)(delayed_time - _buffer[i].time)); // if this difference is smaller than last delta, store this time if (time_delta < best_time_delta) { best_index = i; best_time_delta = time_delta; } } if (best_time_delta < 200) { // only output stored state if < 200 msec retrieval error sim_alt = _buffer[best_index].data; } #if !APM_BUILD_TYPE(APM_BUILD_ArduSub) float p, t_K; AP_Baro::get_pressure_temperature_for_alt_amsl(sim_alt, p, t_K); float T = KELVIN_TO_C(t_K); AP_Baro_SITL::temperature_adjustment(p, T); T = C_TO_KELVIN(T); #else float rho, delta, theta; AP_Baro::SimpleUnderWaterAtmosphere(-sim_alt * 0.001f, rho, delta, theta); float p = SSL_AIR_PRESSURE * delta; float T = SSL_AIR_TEMPERATURE * theta; #endif // add in correction for wind effects p += AP_Baro_SITL::wind_pressure_correction(0); static Canard::Publisher press_pub{CanardInterface::get_test_iface()}; static Canard::Publisher temp_pub{CanardInterface::get_test_iface()}; uavcan_equipment_air_data_StaticPressure press_msg {}; press_msg.static_pressure = p; press_pub.broadcast(press_msg); uavcan_equipment_air_data_StaticTemperature temp_msg {}; temp_msg.static_temperature = T; temp_pub.broadcast(temp_msg); } void DroneCANDevice::update_airspeed() { const uint32_t now = AP_HAL::micros64(); if ((now - _airspeed_last_update_us < 50000) && (_airspeed_last_update_us != 0)) { return; } _airspeed_last_update_us = now; uavcan_equipment_air_data_RawAirData msg {}; msg.differential_pressure = AP::sitl()->state.airspeed_raw_pressure[0]; // this was mostly swiped from SIM_Airspeed_DLVR: const float sim_alt = AP::sitl()->state.altitude; // To Do: Add a sensor board temperature offset parameter msg.static_air_temperature = C_TO_KELVIN(AP_Baro::get_temperatureC_for_alt_amsl(sim_alt)); static Canard::Publisher raw_air_pub{CanardInterface::get_test_iface()}; raw_air_pub.broadcast(msg); } void DroneCANDevice::_setup_eliptical_correcion(uint8_t i) { Vector3f diag = AP::sitl()->mag_diag[i].get(); if (diag.is_zero()) { diag = {1,1,1}; } const Vector3f &diagonals = diag; const Vector3f &offdiagonals = AP::sitl()->mag_offdiag[i]; if (diagonals == _last_dia && offdiagonals == _last_odi) { return; } _eliptical_corr = Matrix3f(diagonals.x, offdiagonals.x, offdiagonals.y, offdiagonals.x, diagonals.y, offdiagonals.z, offdiagonals.y, offdiagonals.z, diagonals.z); if (!_eliptical_corr.invert()) { _eliptical_corr.identity(); } _last_dia = diag; _last_odi = offdiagonals; } void DroneCANDevice::update_compass() { // Sampled at 100Hz const uint32_t now = AP_HAL::micros64(); if ((now - _compass_last_update_us < 10000) && (_compass_last_update_us != 0)) { return; } _compass_last_update_us = now; // calculate sensor noise and add to 'truth' field in body frame // units are milli-Gauss Vector3f noise = rand_vec3f() * AP::sitl()->mag_noise; Vector3f new_mag_data = AP::sitl()->state.bodyMagField + noise; _setup_eliptical_correcion(0); Vector3f f = (_eliptical_corr * new_mag_data) - AP::sitl()->mag_ofs[0].get(); // rotate compass f.rotate_inverse((enum Rotation)AP::sitl()->mag_orient[0].get()); f.rotate(AP::compass().get_board_orientation()); // scale the compass to simulate sensor scale factor errors f *= AP::sitl()->mag_scaling[0]; static Canard::Publisher mag_pub{CanardInterface::get_test_iface()}; uavcan_equipment_ahrs_MagneticFieldStrength mag_msg {}; mag_msg.magnetic_field_ga[0] = f.x/1000.0f; mag_msg.magnetic_field_ga[1] = f.y/1000.0f; mag_msg.magnetic_field_ga[2] = f.z/1000.0f; mag_msg.magnetic_field_covariance.len = 0; mag_pub.broadcast(mag_msg); static Canard::Publisher mag2_pub{CanardInterface::get_test_iface()}; uavcan_equipment_ahrs_MagneticFieldStrength2 mag2_msg; mag2_msg.magnetic_field_ga[0] = f.x/1000.0f; mag2_msg.magnetic_field_ga[1] = f.y/1000.0f; mag2_msg.magnetic_field_ga[2] = f.z/1000.0f; mag2_msg.sensor_id = 0; mag2_msg.magnetic_field_covariance.len = 0; mag2_pub.broadcast(mag2_msg); } void DroneCANDevice::update_rangefinder() { // Sampled at 100Hz const uint32_t now = AP_HAL::micros64(); if ((now - _rangefinder_last_update_us < 10000) && (_rangefinder_last_update_us != 0)) { return; } _rangefinder_last_update_us = now; static Canard::Publisher pub{CanardInterface::get_test_iface()}; uavcan_equipment_range_sensor_Measurement msg; msg.timestamp.usec = AP_HAL::micros64(); msg.sensor_id = 0; msg.sensor_type = UAVCAN_EQUIPMENT_RANGE_SENSOR_MEASUREMENT_SENSOR_TYPE_LIDAR; const float dist = AP::sitl()->get_rangefinder(0); if (!isnan(dist)) { msg.reading_type = UAVCAN_EQUIPMENT_RANGE_SENSOR_MEASUREMENT_READING_TYPE_VALID_RANGE; msg.range = MAX(0, dist); } else { msg.reading_type = UAVCAN_EQUIPMENT_RANGE_SENSOR_MEASUREMENT_READING_TYPE_TOO_FAR; msg.range = 0; } pub.broadcast(msg); } void DroneCANDevice::update() { update_baro(); update_airspeed(); update_compass(); update_rangefinder(); } #endif // AP_TEST_DRONECAN_DRIVERS