/** ****************************************************************************** * @addtogroup OpenPilotModules OpenPilot Modules * @{ * @addtogroup Sensors * @brief Acquires sensor data * Specifically updates the the @ref Gyros, @ref Accels, and @ref Magnetometer objects * @{ * * @file sensors.c * @author The OpenPilot Team, http://www.openpilot.org Copyright (C) 2010. * @brief Module to handle all comms to the AHRS on a periodic basis. * * @see The GNU Public License (GPL) Version 3 * ******************************************************************************/ /* * 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, write to the Free Software Foundation, Inc., * 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA */ /** * Input objects: None, takes sensor data via pios * Output objects: @ref Gyros @ref Accels @ref Magnetometer * * The module executes in its own thread. * * UAVObjects are automatically generated by the UAVObjectGenerator from * the object definition XML file. * * Modules have no API, all communication to other modules is done through UAVObjects. * However modules may use the API exposed by shared libraries. * See the OpenPilot wiki for more details. * http://www.openpilot.org/OpenPilot_Application_Architecture * */ #include "pios.h" #include "attitude.h" #include "accels.h" #include "actuatordesired.h" #include "attitudeactual.h" #include "attitudesimulated.h" #include "attitudesettings.h" #include "baroaltitude.h" #include "gyros.h" #include "gyrosbias.h" #include "flightstatus.h" #include "gpsposition.h" #include "gpsvelocity.h" #include "homelocation.h" #include "magnetometer.h" #include "ratedesired.h" #include "revocalibration.h" #include "CoordinateConversions.h" // Private constants #define STACK_SIZE_BYTES 1540 #define TASK_PRIORITY (tskIDLE_PRIORITY+3) #define SENSOR_PERIOD 2 #define F_PI 3.14159265358979323846f #define PI_MOD(x) (fmod(x + F_PI, F_PI * 2) - F_PI) // Private types // Private variables static xTaskHandle sensorsTaskHandle; // Private functions static void SensorsTask(void *parameters); static void simulateConstant(); static void simulateModelAgnostic(); static void simulateModelQuadcopter(); static float rand_gauss(); enum sensor_sim_type {CONSTANT, MODEL_AGNOSTIC, MODEL_QUADCOPTER} sensor_sim_type; /** * Initialise the module. Called before the start function * \returns 0 on success or -1 if initialisation failed */ int32_t SensorsInitialize(void) { AccelsInitialize(); AttitudeSimulatedInitialize(); BaroAltitudeInitialize(); GyrosInitialize(); GyrosBiasInitialize(); GPSPositionInitialize(); GPSVelocityInitialize(); MagnetometerInitialize(); RevoCalibrationInitialize(); return 0; } /** * Start the task. Expects all objects to be initialized by this point. *pick \returns 0 on success or -1 if initialisation failed */ int32_t SensorsStart(void) { // Start main task xTaskCreate(SensorsTask, (signed char *)"Sensors", STACK_SIZE_BYTES/4, NULL, TASK_PRIORITY, &sensorsTaskHandle); TaskMonitorAdd(TASKINFO_RUNNING_SENSORS, sensorsTaskHandle); PIOS_WDG_RegisterFlag(PIOS_WDG_SENSORS); return 0; } MODULE_INITCALL(SensorsInitialize, SensorsStart) /** * Simulated sensor task. Run a model of the airframe and produce sensor values */ int sensors_count; static void SensorsTask(void *parameters) { portTickType lastSysTime; AlarmsClear(SYSTEMALARMS_ALARM_SENSORS); sensor_sim_type = MODEL_QUADCOPTER; // Main task loop lastSysTime = xTaskGetTickCount(); uint32_t last_time = PIOS_DELAY_GetRaw(); while (1) { PIOS_WDG_UpdateFlag(PIOS_WDG_SENSORS); static int i; i++; if (i % 5000 == 0) { //float dT = PIOS_DELAY_DiffuS(last_time) / 10.0e6; //fprintf(stderr, "Sensor relative timing: %f\n", dT); last_time = PIOS_DELAY_GetRaw(); } sensors_count++; switch(sensor_sim_type) { case CONSTANT: simulateConstant(); break; case MODEL_AGNOSTIC: simulateModelAgnostic(); break; case MODEL_QUADCOPTER: simulateModelQuadcopter(); break; } vTaskDelay(2 / portTICK_RATE_MS); } } static void simulateConstant() { AccelsData accelsData; // Skip get as we set all the fields accelsData.x = 0; accelsData.y = 0; accelsData.z = -9.81; accelsData.temperature = 0; AccelsSet(&accelsData); GyrosData gyrosData; // Skip get as we set all the fields gyrosData.x = 0; gyrosData.y = 0; gyrosData.z = 0; // Apply bias correction to the gyros GyrosBiasData gyrosBias; GyrosBiasGet(&gyrosBias); gyrosData.x += gyrosBias.x; gyrosData.y += gyrosBias.y; gyrosData.z += gyrosBias.z; GyrosSet(&gyrosData); BaroAltitudeData baroAltitude; BaroAltitudeGet(&baroAltitude); baroAltitude.Altitude = 1; BaroAltitudeSet(&baroAltitude); GPSPositionData gpsPosition; GPSPositionGet(&gpsPosition); gpsPosition.Latitude = 0; gpsPosition.Longitude = 0; gpsPosition.Altitude = 0; GPSPositionSet(&gpsPosition); // Because most crafts wont get enough information from gravity to zero yaw gyro, we try // and make it average zero (weakly) MagnetometerData mag; mag.x = 400; mag.y = 0; mag.z = 800; MagnetometerSet(&mag); } static void simulateModelAgnostic() { float Rbe[3][3]; float q[4]; // Simulate accels based on current attitude AttitudeActualData attitudeActual; AttitudeActualGet(&attitudeActual); q[0] = attitudeActual.q1; q[1] = attitudeActual.q2; q[2] = attitudeActual.q3; q[3] = attitudeActual.q4; Quaternion2R(q,Rbe); AccelsData accelsData; // Skip get as we set all the fields accelsData.x = -9.81 * Rbe[0][2]; accelsData.y = -9.81 * Rbe[1][2]; accelsData.z = -9.81 * Rbe[2][2]; accelsData.temperature = 30; AccelsSet(&accelsData); RateDesiredData rateDesired; RateDesiredGet(&rateDesired); GyrosData gyrosData; // Skip get as we set all the fields gyrosData.x = rateDesired.Roll + rand_gauss(); gyrosData.y = rateDesired.Pitch + rand_gauss(); gyrosData.z = rateDesired.Yaw + rand_gauss(); // Apply bias correction to the gyros GyrosBiasData gyrosBias; GyrosBiasGet(&gyrosBias); gyrosData.x += gyrosBias.x; gyrosData.y += gyrosBias.y; gyrosData.z += gyrosBias.z; GyrosSet(&gyrosData); BaroAltitudeData baroAltitude; BaroAltitudeGet(&baroAltitude); baroAltitude.Altitude = 1; BaroAltitudeSet(&baroAltitude); GPSPositionData gpsPosition; GPSPositionGet(&gpsPosition); gpsPosition.Latitude = 0; gpsPosition.Longitude = 0; gpsPosition.Altitude = 0; GPSPositionSet(&gpsPosition); // Because most crafts wont get enough information from gravity to zero yaw gyro, we try // and make it average zero (weakly) MagnetometerData mag; mag.x = 400; mag.y = 0; mag.z = 800; MagnetometerSet(&mag); } float thrustToDegs = 50; bool overideAttitude = false; static void simulateModelQuadcopter() { static double pos[3] = {0,0,0}; static double vel[3] = {0,0,0}; static double ned_accel[3] = {0,0,0}; static float q[4] = {1,0,0,0}; static float rpy[3] = {0,0,0}; // Low pass filtered actuator static float baro_offset = 0.0f; float Rbe[3][3]; const float ACTUATOR_ALPHA = 0.8; const float MAX_THRUST = 9.81 * 2; const float K_FRICTION = 1; const float GPS_PERIOD = 0.1; const float MAG_PERIOD = 1.0 / 75.0; const float BARO_PERIOD = 1.0 / 20.0; static uint32_t last_time; float dT = (PIOS_DELAY_DiffuS(last_time) / 1e6); if(dT < 1e-3) dT = 2e-3; last_time = PIOS_DELAY_GetRaw(); FlightStatusData flightStatus; FlightStatusGet(&flightStatus); ActuatorDesiredData actuatorDesired; ActuatorDesiredGet(&actuatorDesired); float thrust = (flightStatus.Armed == FLIGHTSTATUS_ARMED_ARMED) ? actuatorDesired.Throttle * MAX_THRUST : 0; if (thrust < 0) thrust = 0; if (thrust != thrust) thrust = 0; // float control_scaling = thrust * thrustToDegs; // // In rad/s // rpy[0] = control_scaling * actuatorDesired.Roll * (1 - ACTUATOR_ALPHA) + rpy[0] * ACTUATOR_ALPHA; // rpy[1] = control_scaling * actuatorDesired.Pitch * (1 - ACTUATOR_ALPHA) + rpy[1] * ACTUATOR_ALPHA; // rpy[2] = control_scaling * actuatorDesired.Yaw * (1 - ACTUATOR_ALPHA) + rpy[2] * ACTUATOR_ALPHA; // // GyrosData gyrosData; // Skip get as we set all the fields // gyrosData.x = rpy[0] * 180 / M_PI + rand_gauss(); // gyrosData.y = rpy[1] * 180 / M_PI + rand_gauss(); // gyrosData.z = rpy[2] * 180 / M_PI + rand_gauss(); RateDesiredData rateDesired; RateDesiredGet(&rateDesired); rpy[0] = (flightStatus.Armed == FLIGHTSTATUS_ARMED_ARMED) * rateDesired.Roll * (1 - ACTUATOR_ALPHA) + rpy[0] * ACTUATOR_ALPHA; rpy[1] = (flightStatus.Armed == FLIGHTSTATUS_ARMED_ARMED) * rateDesired.Pitch * (1 - ACTUATOR_ALPHA) + rpy[1] * ACTUATOR_ALPHA; rpy[2] = (flightStatus.Armed == FLIGHTSTATUS_ARMED_ARMED) * rateDesired.Yaw * (1 - ACTUATOR_ALPHA) + rpy[2] * ACTUATOR_ALPHA; GyrosData gyrosData; // Skip get as we set all the fields gyrosData.x = rpy[1] + rand_gauss() + 3; gyrosData.y = rpy[1] + rand_gauss() - 5; gyrosData.z = rpy[2] + rand_gauss() + 1; // Add in estimate of bias from sensors GyrosBiasData gyrosBias; GyrosBiasGet(&gyrosBias); gyrosData.x += gyrosBias.x; gyrosData.y += gyrosBias.y; gyrosData.z += gyrosBias.z; GyrosSet(&gyrosData); // Predict the attitude forward in time float qdot[4]; qdot[0] = (-q[1] * rpy[0] - q[2] * rpy[1] - q[3] * rpy[2]) * dT * M_PI / 180 / 2; qdot[1] = (q[0] * rpy[0] - q[3] * rpy[1] + q[2] * rpy[2]) * dT * M_PI / 180 / 2; qdot[2] = (q[3] * rpy[0] + q[0] * rpy[1] - q[1] * rpy[2]) * dT * M_PI / 180 / 2; qdot[3] = (-q[2] * rpy[0] + q[1] * rpy[1] + q[0] * rpy[2]) * dT * M_PI / 180 / 2; // Take a time step q[0] = q[0] + qdot[0]; q[1] = q[1] + qdot[1]; q[2] = q[2] + qdot[2]; q[3] = q[3] + qdot[3]; float qmag = sqrtf(q[0]*q[0] + q[1]*q[1] + q[2]*q[2] + q[3]*q[3]); q[0] = q[0] / qmag; q[1] = q[1] / qmag; q[2] = q[2] / qmag; q[3] = q[3] / qmag; if(overideAttitude){ AttitudeActualData attitudeActual; AttitudeActualGet(&attitudeActual); attitudeActual.q1 = q[0]; attitudeActual.q2 = q[1]; attitudeActual.q3 = q[2]; attitudeActual.q4 = q[3]; AttitudeActualSet(&attitudeActual); } static float wind[3] = {0,0,0}; wind[0] = wind[0] * 0.95 + rand_gauss() / 10.0; wind[1] = wind[1] * 0.95 + rand_gauss() / 10.0; wind[2] = wind[2] * 0.95 + rand_gauss() / 10.0; Quaternion2R(q,Rbe); // Make thrust negative as down is positive ned_accel[0] = -thrust * Rbe[2][0]; ned_accel[1] = -thrust * Rbe[2][1]; // Gravity causes acceleration of 9.81 in the down direction ned_accel[2] = -thrust * Rbe[2][2] + 9.81; // Apply acceleration based on velocity ned_accel[0] -= K_FRICTION * (vel[0] - wind[0]); ned_accel[1] -= K_FRICTION * (vel[1] - wind[0]); ned_accel[2] -= K_FRICTION * (vel[2] - wind[0]); // Predict the velocity forward in time vel[0] = vel[0] + ned_accel[0] * dT; vel[1] = vel[1] + ned_accel[1] * dT; vel[2] = vel[2] + ned_accel[2] * dT; // Predict the position forward in time pos[0] = pos[0] + vel[0] * dT; pos[1] = pos[1] + vel[1] * dT; pos[2] = pos[2] + vel[2] * dT; // Simulate hitting ground if(pos[2] > 0) { pos[2] = 0; vel[2] = 0; ned_accel[2] = 0; } // Sensor feels gravity (when not acceleration in ned frame e.g. ned_accel[2] = 0) ned_accel[2] -= 9.81; // Transform the accels back in to body frame AccelsData accelsData; // Skip get as we set all the fields accelsData.x = ned_accel[0] * Rbe[0][0] + ned_accel[1] * Rbe[0][1] + ned_accel[2] * Rbe[0][2]; accelsData.y = ned_accel[0] * Rbe[1][0] + ned_accel[1] * Rbe[1][1] + ned_accel[2] * Rbe[1][2]; accelsData.z = ned_accel[0] * Rbe[2][0] + ned_accel[1] * Rbe[2][1] + ned_accel[2] * Rbe[2][2]; accelsData.temperature = 30; AccelsSet(&accelsData); if(baro_offset == 0) { // Hacky initialization baro_offset = 50;// * rand_gauss(); } else { // Very small drift process baro_offset += rand_gauss() / 100; } // Update baro periodically static uint32_t last_baro_time = 0; if(PIOS_DELAY_DiffuS(last_baro_time) / 1.0e6 > BARO_PERIOD) { BaroAltitudeData baroAltitude; BaroAltitudeGet(&baroAltitude); baroAltitude.Altitude = -pos[2] + baro_offset; BaroAltitudeSet(&baroAltitude); last_baro_time = PIOS_DELAY_GetRaw(); } HomeLocationData homeLocation; HomeLocationGet(&homeLocation); // Update GPS periodically static uint32_t last_gps_time = 0; if(PIOS_DELAY_DiffuS(last_gps_time) / 1.0e6 > GPS_PERIOD) { // Use double precision here as simulating what GPS produces double T[3]; T[0] = homeLocation.Altitude+6.378137E6f * M_PI / 180.0; T[1] = cos(homeLocation.Latitude / 10e6 * M_PI / 180.0f)*(homeLocation.Altitude+6.378137E6) * M_PI / 180.0; T[2] = -1.0; static float gps_drift[3] = {0,0,0}; gps_drift[0] = gps_drift[0] * 0.95 + rand_gauss() / 10.0; gps_drift[1] = gps_drift[1] * 0.95 + rand_gauss() / 10.0; gps_drift[2] = gps_drift[2] * 0.95 + rand_gauss() / 10.0; static float gps_vel_drift[3] = {0,0,0}; gps_vel_drift[0] = gps_vel_drift[0] * 0.65 + rand_gauss() / 5.0; gps_vel_drift[1] = gps_vel_drift[1] * 0.65 + rand_gauss() / 5.0; gps_vel_drift[2] = gps_vel_drift[2] * 0.65 + rand_gauss() / 5.0; GPSPositionData gpsPosition; GPSPositionGet(&gpsPosition); gpsPosition.Latitude = homeLocation.Latitude + ((pos[0] + gps_drift[0]) / T[0] * 10.0e6); gpsPosition.Longitude = homeLocation.Longitude + ((pos[1] + gps_drift[1])/ T[1] * 10.0e6); gpsPosition.Altitude = homeLocation.Altitude + ((pos[2] + gps_drift[2]) / T[2]); gpsPosition.Groundspeed = sqrt(pow(vel[0] + gps_vel_drift[0],2) + pow(vel[1] + gps_vel_drift[1],2)); gpsPosition.Heading = 180 / M_PI * atan2(vel[1] + gps_vel_drift[1],vel[0] + gps_vel_drift[0]); gpsPosition.Satellites = 7; gpsPosition.PDOP = 1; GPSPositionSet(&gpsPosition); last_gps_time = PIOS_DELAY_GetRaw(); GPSVelocityData gpsVelocity; GPSVelocityGet(&gpsVelocity); gpsVelocity.North = vel[0] + gps_vel_drift[0]; gpsVelocity.East = vel[1] + gps_vel_drift[1]; gpsVelocity.Down = vel[2] + gps_vel_drift[2]; GPSVelocitySet(&gpsVelocity); } // Update mag periodically static uint32_t last_mag_time = 0; if(PIOS_DELAY_DiffuS(last_mag_time) / 1.0e6 > MAG_PERIOD) { MagnetometerData mag; mag.x = homeLocation.Be[0] * Rbe[0][0] + homeLocation.Be[1] * Rbe[0][1] + homeLocation.Be[2] * Rbe[0][2]; mag.y = homeLocation.Be[0] * Rbe[1][0] + homeLocation.Be[1] * Rbe[1][1] + homeLocation.Be[2] * Rbe[1][2]; mag.z = homeLocation.Be[0] * Rbe[2][0] + homeLocation.Be[1] * Rbe[2][1] + homeLocation.Be[2] * Rbe[2][2]; MagnetometerSet(&mag); last_mag_time = PIOS_DELAY_GetRaw(); } AttitudeSimulatedData attitudeSimulated; AttitudeSimulatedGet(&attitudeSimulated); attitudeSimulated.q1 = q[0]; attitudeSimulated.q2 = q[1]; attitudeSimulated.q3 = q[2]; attitudeSimulated.q4 = q[3]; Quaternion2RPY(q,&attitudeSimulated.Roll); attitudeSimulated.Position[0] = pos[0]; attitudeSimulated.Position[1] = pos[1]; attitudeSimulated.Position[2] = pos[2]; attitudeSimulated.Velocity[0] = vel[0]; attitudeSimulated.Velocity[1] = vel[1]; attitudeSimulated.Velocity[2] = vel[2]; AttitudeSimulatedSet(&attitudeSimulated); } static float rand_gauss (void) { float v1,v2,s; do { v1 = 2.0 * ((float) rand()/RAND_MAX) - 1; v2 = 2.0 * ((float) rand()/RAND_MAX) - 1; s = v1*v1 + v2*v2; } while ( s >= 1.0 ); if (s == 0.0) return 0.0; else return (v1*sqrt(-2.0 * log(s) / s)); } /** * @} * @} */