Example #1
0
PyMODINIT_FUNC
initins(void)
{
	(void) Py_InitModule("ins", InsMethods);
	import_array();
	init(NULL, NULL);
	INSGPSInit();
}
Example #2
0
static PyObject*
init(PyObject* self, PyObject* args)
{
	INSGPSInit();

	const float Be[] = {400, 0, 1600};
	INSSetMagNorth(Be);

	return pack_state(self);	
}
Example #3
0
/**
 * @brief Quickly initialize INS assuming stationary and gravity is down
 *
 * Currently this is done iteratively but I'm sure it can be directly computed
 * when I sit down and work it out
 */
void converge_insgps()
{
	AHRSCalibrationData calibration;
	AHRSCalibrationGet( &calibration );
	float pos[3] = { 0, 0, 0 }, vel[3] = {
		0, 0, 0
	}, BaroAlt = 0, mag[3], accel[3], temp_gyro[3] = {
		0, 0, 0
	};
	INSGPSInit();
	INSSetAccelVar( calibration.accel_var );
	INSSetGyroBias( temp_gyro );	// set this to zero - crude bias corrected from downsample_data
	INSSetGyroVar( calibration.gyro_var );
	INSSetMagVar( calibration.mag_var );

	float temp_var[3] = { 10, 10, 10 };
	INSSetGyroVar( temp_var );	// ignore gyro's

	accel[0] = accel_data.filtered.x;
	accel[1] = accel_data.filtered.y;
	accel[2] = accel_data.filtered.z;

	// Iteratively constrain pitch and roll while updating yaw to align magnetic axis.
	for( int i = 0; i < 50; i++ ) {
		// This should be done directly but I'm too dumb.
		float rpy[3];
		Quaternion2RPY( Nav.q, rpy );
		rpy[1] =
			-atan2( accel_data.filtered.x,
					accel_data.filtered.z ) * 180 / M_PI;
		rpy[0] =
			-atan2( accel_data.filtered.y,
					accel_data.filtered.z ) * 180 / M_PI;
		// Get magnetic readings
#if defined(PIOS_INCLUDE_HMC5843) && defined(PIOS_INCLUDE_I2C)
		PIOS_HMC5843_ReadMag( mag_data.raw.axis );
#endif
		mag[0] = -mag_data.raw.axis[1];
		mag[1] = -mag_data.raw.axis[0];
		mag[2] = -mag_data.raw.axis[2];

		RPY2Quaternion( rpy, Nav.q );
		INSStatePrediction( temp_gyro, accel, 1 / ( float )EKF_RATE );
		INSCovariancePrediction( 1 / ( float )EKF_RATE );
		FullCorrection( mag, pos, vel, BaroAlt );
	}

	INSSetGyroVar( calibration.gyro_var );

}
Example #4
0
void mexFunction(int nlhs, mxArray *plhs[], int nrhs, const mxArray *prhs[])
{
	char * function_name;
	float accel_data[3];
	float gyro_data[3];
	float mag_data[3];
	float pos_data[3];
	float vel_data[3];
	float baro_data;
	float dT;

	//All code and internal function calls go in here!
	if(!mxIsChar(prhs[0])) {
		mexErrMsgTxt("First parameter must be name of a function\n");
		return;
	} 

	if(mlStringCompare(prhs[0], "INSGPSInit")) {
		INSGPSInit();
	} else 	if(mlStringCompare(prhs[0], "INSStatePrediction")) {

		if(nrhs != 4) {
			mexErrMsgTxt("Incorrect number of inputs for state prediction\n");
			return;
		}

		if(!mlGetFloatArray(prhs[1], gyro_data, 3) || 
			!mlGetFloatArray(prhs[2], accel_data, 3) ||
			!mlGetFloatArray(prhs[3], &dT, 1)) 
			return;

		INSStatePrediction(gyro_data, accel_data, dT);
		INSCovariancePrediction(dT);
	} else 	if(mlStringCompare(prhs[0], "INSFullCorrection")) {

		if(nrhs != 5) {
			mexErrMsgTxt("Incorrect number of inputs for correction\n");
			return;
		}

		if(!mlGetFloatArray(prhs[1], mag_data, 3) ||
				!mlGetFloatArray(prhs[2], pos_data, 3) ||
				!mlGetFloatArray(prhs[3], vel_data ,3) ||
				!mlGetFloatArray(prhs[4], &baro_data, 1)) {
			mexErrMsgTxt("Error with the input parameters\n");
			return;
		}

		FullCorrection(mag_data, pos_data, vel_data, baro_data);
	} else 	if(mlStringCompare(prhs[0], "INSMagCorrection")) {
		if(nrhs != 2) {
			mexErrMsgTxt("Incorrect number of inputs for correction\n");
			return;
		}

		if(!mlGetFloatArray(prhs[1], mag_data, 3)) {
			mexErrMsgTxt("Error with the input parameters\n");
			return;
		}

		MagCorrection(mag_data);
    } else 	if(mlStringCompare(prhs[0], "INSBaroCorrection")) {
		if(nrhs != 2) {
			mexErrMsgTxt("Incorrect number of inputs for correction\n");
			return;
		}

		if(!mlGetFloatArray(prhs[1], &baro_data, 1)) {
			mexErrMsgTxt("Error with the input parameters\n");
			return;
		}

		BaroCorrection(baro_data);
	} else 	if(mlStringCompare(prhs[0], "INSMagVelBaroCorrection")) {

		if(nrhs != 4) {
			mexErrMsgTxt("Incorrect number of inputs for correction\n");
			return;
		}

		if(!mlGetFloatArray(prhs[1], mag_data, 3) ||
				!mlGetFloatArray(prhs[2], vel_data ,3) ||
				!mlGetFloatArray(prhs[3], &baro_data, 1)) {
			mexErrMsgTxt("Error with the input parameters\n");
			return;
		}

		MagVelBaroCorrection(mag_data, vel_data, baro_data);
	} else 	if(mlStringCompare(prhs[0], "INSGpsCorrection")) {

		if(nrhs != 3) {
			mexErrMsgTxt("Incorrect number of inputs for correction\n");
			return;
		}

		if(!mlGetFloatArray(prhs[1], pos_data, 3) ||
				!mlGetFloatArray(prhs[2], vel_data ,3)) {
			mexErrMsgTxt("Error with the input parameters\n");
			return;
		}

		GpsCorrection(pos_data, vel_data);
	} else 	if(mlStringCompare(prhs[0], "INSVelBaroCorrection")) {

		if(nrhs != 3) {
			mexErrMsgTxt("Incorrect number of inputs for correction\n");
			return;
		}

		if(!mlGetFloatArray(prhs[1], vel_data, 3) ||
				!mlGetFloatArray(prhs[2], &baro_data, 1)) {
			mexErrMsgTxt("Error with the input parameters\n");
			return;
		}

		VelBaroCorrection(vel_data, baro_data);
	} else if (mlStringCompare(prhs[0], "INSSetPosVelVar")) {
		float pos_var;
        float vel_var;
		if((nrhs != 3) || !mlGetFloatArray(prhs[1], &pos_var, 1) ||
                !mlGetFloatArray(prhs[2], &vel_var, 1)) {
			mexErrMsgTxt("Error with input parameters\n");
			return;
		}
		INSSetPosVelVar(pos_var, vel_var);
	} else if (mlStringCompare(prhs[0], "INSSetGyroBias")) {
		float gyro_bias[3];
		if((nrhs != 2) || !mlGetFloatArray(prhs[1], gyro_bias, 3)) {
			mexErrMsgTxt("Error with input parameters\n");
			return;
		}
		INSSetGyroBias(gyro_bias);
	} else if (mlStringCompare(prhs[0], "INSSetAccelVar")) {
		float accel_var[3];
		if((nrhs != 2) || !mlGetFloatArray(prhs[1], accel_var, 3)) {
			mexErrMsgTxt("Error with input parameters\n");
			return;
		}
		INSSetAccelVar(accel_var);
	} else if (mlStringCompare(prhs[0], "INSSetGyroVar")) {
		float gyro_var[3];
		if((nrhs != 2) || !mlGetFloatArray(prhs[1], gyro_var, 3)) {
			mexErrMsgTxt("Error with input parameters\n");
			return;
		}
		INSSetGyroVar(gyro_var);
	} else if (mlStringCompare(prhs[0], "INSSetMagNorth")) {
		float mag_north[3];
		float Bmag;
		if((nrhs != 2) || !mlGetFloatArray(prhs[1], mag_north, 3)) {
			mexErrMsgTxt("Error with input parameters\n");
			return;
		}
		Bmag = sqrt(mag_north[0] * mag_north[0] + mag_north[1] * mag_north[1] +
				mag_north[2] * mag_north[2]);
		mag_north[0] = mag_north[0] / Bmag;
		mag_north[1] = mag_north[1] / Bmag;
		mag_north[2] = mag_north[2] / Bmag;

		INSSetMagNorth(mag_north);
	} else if (mlStringCompare(prhs[0], "INSSetMagVar")) {
		float mag_var[3];
		if((nrhs != 2) || !mlGetFloatArray(prhs[1], mag_var, 3)) {
			mexErrMsgTxt("Error with input parameters\n");
			return;
		}
		INSSetMagVar(mag_var);
	} else if (mlStringCompare(prhs[0], "INSSetState")) {
        int i;
		float new_state[NUMX];
		if((nrhs != 2) || !mlGetFloatArray(prhs[1], new_state, NUMX)) {
			mexErrMsgTxt("Error with input parameters\n");
			return;
		}
		for(i = 0; i < NUMX; i++)
			X[i] = new_state[i];
	} else {
		mexErrMsgTxt("Unknown function");
	}

	if(nlhs > 0) {
		// return current state vector
		double * data_out;
		int i;

		plhs[0] = mxCreateDoubleMatrix(1,13,0);
		data_out = mxGetData(plhs[0]);
		for(i = 0; i < NUMX; i++)
			data_out[i] = X[i];
	}

	if(nlhs > 1) {
		//return covariance estimate
		double * data_copy = mxCalloc(NUMX*NUMX, sizeof(double));
		int i, j, k;

		plhs[1] = mxCreateDoubleMatrix(13,13,0);
		for(i = 0; i < NUMX; i++)
			for(j = 0; j < NUMX; j++)
			{
				data_copy[j + i * NUMX] = P[j][i];
			}

		mxSetData(plhs[1], data_copy);
	}

	if(nlhs > 2) {
		//return covariance estimate
		double * data_copy = mxCalloc(NUMX*NUMV, sizeof(double));
		int i, j, k;

		plhs[2] = mxCreateDoubleMatrix(NUMX,NUMV,0);
		for(i = 0; i < NUMX; i++)
			for(j = 0; j < NUMV; j++)
			{
				data_copy[j + i * NUMX] = K[i][j];
			}

		mxSetData(plhs[2], data_copy);
	}
	return;
}
Example #5
0
/**
 * @brief Use the INSGPS fusion algorithm in either indoor or outdoor mode (use GPS)
 * @params[in] first_run This is the first run so trigger reinitialization
 * @params[in] outdoor_mode If true use the GPS for position, if false weakly pull to (0,0)
 * @return 0 for success, -1 for failure
 */
static int32_t updateAttitudeINSGPS(bool first_run, bool outdoor_mode)
{
	UAVObjEvent ev;
	GyrosData gyrosData;
	AccelsData accelsData;
	MagnetometerData magData;
	BaroAltitudeData baroData;
	GPSPositionData gpsData;
	GPSVelocityData gpsVelData;
	GyrosBiasData gyrosBias;

	static bool mag_updated = false;
	static bool baro_updated;
	static bool gps_updated;
	static bool gps_vel_updated;

	static float baroOffset = 0;

	static uint32_t ins_last_time = 0;
	static bool inited;

	float NED[3] = {0.0f, 0.0f, 0.0f};
	float vel[3] = {0.0f, 0.0f, 0.0f};
	float zeros[3] = {0.0f, 0.0f, 0.0f};

	// Perform the update
	uint16_t sensors = 0;
	float dT;

	// Wait until the gyro and accel object is updated, if a timeout then go to failsafe
	if ( (xQueueReceive(gyroQueue, &ev, FAILSAFE_TIMEOUT_MS / portTICK_RATE_MS) != pdTRUE) ||
	     (xQueueReceive(accelQueue, &ev, 1 / portTICK_RATE_MS) != pdTRUE) )
	{
		// Do not set attitude timeout warnings in simulation mode
		if (!AttitudeActualReadOnly()){
			AlarmsSet(SYSTEMALARMS_ALARM_ATTITUDE,SYSTEMALARMS_ALARM_WARNING);
			return -1;
		}
	}

	if (inited) {
		mag_updated = 0;
		baro_updated = 0;
		gps_updated = 0;
		gps_vel_updated = 0;
	}

	if (first_run) {
		inited = false;
		init_stage = 0;

		mag_updated = 0;
		baro_updated = 0;
		gps_updated = 0;
		gps_vel_updated = 0;

		ins_last_time = PIOS_DELAY_GetRaw();

		return 0;
	}

	mag_updated |= (xQueueReceive(magQueue, &ev, 0 / portTICK_RATE_MS) == pdTRUE);
	baro_updated |= xQueueReceive(baroQueue, &ev, 0 / portTICK_RATE_MS) == pdTRUE;
	gps_updated |= (xQueueReceive(gpsQueue, &ev, 0 / portTICK_RATE_MS) == pdTRUE) && outdoor_mode;
	gps_vel_updated |= (xQueueReceive(gpsVelQueue, &ev, 0 / portTICK_RATE_MS) == pdTRUE) && outdoor_mode;

	// Get most recent data
	GyrosGet(&gyrosData);
	AccelsGet(&accelsData);
	MagnetometerGet(&magData);
	BaroAltitudeGet(&baroData);
	GPSPositionGet(&gpsData);
	GPSVelocityGet(&gpsVelData);
	GyrosBiasGet(&gyrosBias);

	// Discard mag if it has NAN (normally from bad calibration)
	mag_updated &= (magData.x == magData.x && magData.y == magData.y && magData.z == magData.z);
	// Don't require HomeLocation.Set to be true but at least require a mag configuration (allows easily
	// switching between indoor and outdoor mode with Set = false)
	mag_updated &= (homeLocation.Be[0] != 0 || homeLocation.Be[1] != 0 || homeLocation.Be[2]);

	// Have a minimum requirement for gps usage
	gps_updated &= (gpsData.Satellites >= 7) && (gpsData.PDOP <= 4.0f) && (homeLocation.Set == HOMELOCATION_SET_TRUE);

	if (!inited)
		AlarmsSet(SYSTEMALARMS_ALARM_ATTITUDE,SYSTEMALARMS_ALARM_ERROR);
	else if (outdoor_mode && gpsData.Satellites < 7)
		AlarmsSet(SYSTEMALARMS_ALARM_ATTITUDE,SYSTEMALARMS_ALARM_ERROR);
	else
		AlarmsClear(SYSTEMALARMS_ALARM_ATTITUDE);
			
	if (!inited && mag_updated && baro_updated && (gps_updated || !outdoor_mode)) {
		// Don't initialize until all sensors are read
		if (init_stage == 0 && !outdoor_mode) {
			float Pdiag[16]={25.0f,25.0f,25.0f,5.0f,5.0f,5.0f,1e-5f,1e-5f,1e-5f,1e-5f,1e-5f,1e-5f,1e-5f,1e-4f,1e-4f,1e-4f};
			float q[4];
			float pos[3] = {0.0f, 0.0f, 0.0f};

			// Initialize barometric offset to homelocation altitude
			baroOffset = -baroData.Altitude;
			pos[2] = -(baroData.Altitude + baroOffset);

			// Reset the INS algorithm
			INSGPSInit();
			INSSetMagVar(revoCalibration.mag_var);
			INSSetAccelVar(revoCalibration.accel_var);
			INSSetGyroVar(revoCalibration.gyro_var);
			INSSetBaroVar(revoCalibration.baro_var);

			// Initialize the gyro bias from the settings
			float gyro_bias[3] = {gyrosBias.x * F_PI / 180.0f, gyrosBias.y * F_PI / 180.0f, gyrosBias.z * F_PI / 180.0f};
			INSSetGyroBias(gyro_bias);

			xQueueReceive(magQueue, &ev, 100 / portTICK_RATE_MS);
			MagnetometerGet(&magData);

			// Set initial attitude
			AttitudeActualData attitudeActual;
			attitudeActual.Roll = atan2f(-accelsData.y, -accelsData.z) * 180.0f / F_PI;
			attitudeActual.Pitch = atan2f(accelsData.x, -accelsData.z) * 180.0f / F_PI;
			attitudeActual.Yaw = atan2f(-magData.y, magData.x) * 180.0f / F_PI;
			RPY2Quaternion(&attitudeActual.Roll,&attitudeActual.q1);
			AttitudeActualSet(&attitudeActual);

			q[0] = attitudeActual.q1;
			q[1] = attitudeActual.q2;
			q[2] = attitudeActual.q3;
			q[3] = attitudeActual.q4;
			INSSetState(pos, zeros, q, zeros, zeros);
			INSResetP(Pdiag);
		} else if (init_stage == 0 && outdoor_mode) {
			float Pdiag[16]={25.0f,25.0f,25.0f,5.0f,5.0f,5.0f,1e-5f,1e-5f,1e-5f,1e-5f,1e-5f,1e-5f,1e-5f,1e-4f,1e-4f,1e-4f};
			float q[4];
			float NED[3];

			// Reset the INS algorithm
			INSGPSInit();
			INSSetMagVar(revoCalibration.mag_var);
			INSSetAccelVar(revoCalibration.accel_var);
			INSSetGyroVar(revoCalibration.gyro_var);
			INSSetBaroVar(revoCalibration.baro_var);

			INSSetMagNorth(homeLocation.Be);

			// Initialize the gyro bias from the settings
			float gyro_bias[3] = {gyrosBias.x * F_PI / 180.0f, gyrosBias.y * F_PI / 180.0f, gyrosBias.z * F_PI / 180.0f};
			INSSetGyroBias(gyro_bias);

			GPSPositionData gpsPosition;
			GPSPositionGet(&gpsPosition);

			// Transform the GPS position into NED coordinates
			getNED(&gpsPosition, NED);
			
			// Initialize barometric offset to cirrent GPS NED coordinate
			baroOffset = -NED[2] - baroData.Altitude;

			xQueueReceive(magQueue, &ev, 100 / portTICK_RATE_MS);
			MagnetometerGet(&magData);

			// Set initial attitude
			AttitudeActualData attitudeActual;
			attitudeActual.Roll = atan2f(-accelsData.y, -accelsData.z) * 180.0f / F_PI;
			attitudeActual.Pitch = atan2f(accelsData.x, -accelsData.z) * 180.0f / F_PI;
			attitudeActual.Yaw = atan2f(-magData.y, magData.x) * 180.0f / F_PI;
			RPY2Quaternion(&attitudeActual.Roll,&attitudeActual.q1);
			AttitudeActualSet(&attitudeActual);

			q[0] = attitudeActual.q1;
			q[1] = attitudeActual.q2;
			q[2] = attitudeActual.q3;
			q[3] = attitudeActual.q4;

			INSSetState(NED, zeros, q, zeros, zeros);
			INSResetP(Pdiag);
		} else if (init_stage > 0) {
			// Run prediction a bit before any corrections
			dT = PIOS_DELAY_DiffuS(ins_last_time) / 1.0e6f;

			GyrosBiasGet(&gyrosBias);
			float gyros[3] = {(gyrosData.x + gyrosBias.x) * F_PI / 180.0f, 
				(gyrosData.y + gyrosBias.y) * F_PI / 180.0f, 
				(gyrosData.z + gyrosBias.z) * F_PI / 180.0f};
			INSStatePrediction(gyros, &accelsData.x, dT);
			
			AttitudeActualData attitude;
			AttitudeActualGet(&attitude);
			attitude.q1 = Nav.q[0];
			attitude.q2 = Nav.q[1];
			attitude.q3 = Nav.q[2];
			attitude.q4 = Nav.q[3];
			Quaternion2RPY(&attitude.q1,&attitude.Roll);
			AttitudeActualSet(&attitude);
		}

		init_stage++;
		if(init_stage > 10)
			inited = true;

		ins_last_time = PIOS_DELAY_GetRaw();	

		return 0;
	}

	if (!inited)
		return 0;

	dT = PIOS_DELAY_DiffuS(ins_last_time) / 1.0e6f;
	ins_last_time = PIOS_DELAY_GetRaw();

	// This should only happen at start up or at mode switches
	if(dT > 0.01f)
		dT = 0.01f;
	else if(dT <= 0.001f)
		dT = 0.001f;

	// If the gyro bias setting was updated we should reset
	// the state estimate of the EKF
	if(gyroBiasSettingsUpdated) {
		float gyro_bias[3] = {gyrosBias.x * F_PI / 180.0f, gyrosBias.y * F_PI / 180.0f, gyrosBias.z * F_PI / 180.0f};
		INSSetGyroBias(gyro_bias);
		gyroBiasSettingsUpdated = false;
	}

	// Because the sensor module remove the bias we need to add it
	// back in here so that the INS algorithm can track it correctly
	float gyros[3] = {gyrosData.x * F_PI / 180.0f, gyrosData.y * F_PI / 180.0f, gyrosData.z * F_PI / 180.0f};
	if (revoCalibration.BiasCorrectedRaw == REVOCALIBRATION_BIASCORRECTEDRAW_TRUE) {
		gyros[0] += gyrosBias.x * F_PI / 180.0f;
		gyros[1] += gyrosBias.y * F_PI / 180.0f;
		gyros[2] += gyrosBias.z * F_PI / 180.0f;
	}

	// Advance the state estimate
	INSStatePrediction(gyros, &accelsData.x, dT);

	// Copy the attitude into the UAVO
	AttitudeActualData attitude;
	AttitudeActualGet(&attitude);
	attitude.q1 = Nav.q[0];
	attitude.q2 = Nav.q[1];
	attitude.q3 = Nav.q[2];
	attitude.q4 = Nav.q[3];
	Quaternion2RPY(&attitude.q1,&attitude.Roll);
	AttitudeActualSet(&attitude);

	// Advance the covariance estimate
	INSCovariancePrediction(dT);

	if(mag_updated)
		sensors |= MAG_SENSORS;

	if(baro_updated)
		sensors |= BARO_SENSOR;

	INSSetMagNorth(homeLocation.Be);
	
	if (gps_updated && outdoor_mode)
	{
		INSSetPosVelVar(revoCalibration.gps_var[REVOCALIBRATION_GPS_VAR_POS], revoCalibration.gps_var[REVOCALIBRATION_GPS_VAR_VEL]);
		sensors |= POS_SENSORS;

		if (0) { // Old code to take horizontal velocity from GPS Position update
			sensors |= HORIZ_SENSORS;
			vel[0] = gpsData.Groundspeed * cosf(gpsData.Heading * F_PI / 180.0f);
			vel[1] = gpsData.Groundspeed * sinf(gpsData.Heading * F_PI / 180.0f);
			vel[2] = 0;
		}
		// Transform the GPS position into NED coordinates
		getNED(&gpsData, NED);

		// Track barometric altitude offset with a low pass filter
		baroOffset = BARO_OFFSET_LOWPASS_ALPHA * baroOffset +
		    (1.0f - BARO_OFFSET_LOWPASS_ALPHA )
		    * ( -NED[2] - baroData.Altitude );

	} else if (!outdoor_mode) {
		INSSetPosVelVar(1e2f, 1e2f);
		vel[0] = vel[1] = vel[2] = 0;
		NED[0] = NED[1] = 0;
		NED[2] = -(baroData.Altitude + baroOffset);
		sensors |= HORIZ_SENSORS | HORIZ_POS_SENSORS;
		sensors |= POS_SENSORS |VERT_SENSORS;
	}

	if (gps_vel_updated && outdoor_mode) {
		sensors |= HORIZ_SENSORS | VERT_SENSORS;
		vel[0] = gpsVelData.North;
		vel[1] = gpsVelData.East;
		vel[2] = gpsVelData.Down;
	}
	
	/*
	 * TODO: Need to add a general sanity check for all the inputs to make sure their kosher
	 * although probably should occur within INS itself
	 */
	if (sensors)
		INSCorrection(&magData.x, NED, vel, ( baroData.Altitude + baroOffset ), sensors);

	// Copy the position and velocity into the UAVO
	PositionActualData positionActual;
	PositionActualGet(&positionActual);
	positionActual.North = Nav.Pos[0];
	positionActual.East = Nav.Pos[1];
	positionActual.Down = Nav.Pos[2];
	PositionActualSet(&positionActual);
	
	VelocityActualData velocityActual;
	VelocityActualGet(&velocityActual);
	velocityActual.North = Nav.Vel[0];
	velocityActual.East = Nav.Vel[1];
	velocityActual.Down = Nav.Vel[2];
	VelocityActualSet(&velocityActual);

	if (revoCalibration.BiasCorrectedRaw == REVOCALIBRATION_BIASCORRECTEDRAW_TRUE && !gyroBiasSettingsUpdated) {
		// Copy the gyro bias into the UAVO except when it was updated
		// from the settings during the calculation, then consume it
		// next cycle
		gyrosBias.x = Nav.gyro_bias[0] * 180.0f / F_PI;
		gyrosBias.y = Nav.gyro_bias[1] * 180.0f / F_PI;
		gyrosBias.z = Nav.gyro_bias[2] * 180.0f / F_PI;
		GyrosBiasSet(&gyrosBias);
	}

	return 0;
}