Exemplo n.º 1
0
void Ekf::controlRangeFinderFusion()
{
	// determine if we should use range finder data for height
	if (_range_data_ready) {
		// set the height data source to range if requested
		if ((_params.vdist_sensor_type == VDIST_SENSOR_RANGE) && !_rng_hgt_faulty) {
			_control_status.flags.baro_hgt = false;
			_control_status.flags.gps_hgt = false;
			_control_status.flags.rng_hgt = true;
			_control_status.flags.ev_hgt = false;

		}

		// correct the range data for position offset relative to the IMU
		Vector3f pos_offset_body = _params.rng_pos_body - _params.imu_pos_body;
		Vector3f pos_offset_earth = _R_to_earth * pos_offset_body;
		_range_sample_delayed.rng += pos_offset_earth(2) / _R_to_earth(2, 2);

		// always fuse available range finder data into a terrain height estimator if the estimator has been initialised
		if (_terrain_initialised) {
			fuseHagl();

		}

		// only use range finder as a height observation in the main filter if specifically enabled
		if (_control_status.flags.rng_hgt) {
			_fuse_height = true;

		}

	} else if ((_time_last_imu - _time_last_hgt_fuse) > 2 * RNG_MAX_INTERVAL && _control_status.flags.rng_hgt) {
		// If we are supposed to be using range finder data as the primary height sensor, have missed or rejected measurements
		// and are on the ground, then synthesise a measurement at the expected on ground value
		if (!_control_status.flags.in_air) {
			_range_sample_delayed.rng = _params.rng_gnd_clearance;
			_range_sample_delayed.time_us = _imu_sample_delayed.time_us;

		}

		_fuse_height = true;

	}
}
Exemplo n.º 2
0
Arquivo: ekf.cpp Projeto: 9DSmart/ecl
bool Ekf::update()
{

	if (!_filter_initialised) {
		_filter_initialised = initialiseFilter();

		if (!_filter_initialised) {
			return false;
		}
	}

	// Only run the filter if IMU data in the buffer has been updated
	if (_imu_updated) {

		// perform state and covariance prediction for the main filter
		predictState();
		predictCovariance();

		// perform state and variance prediction for the terrain estimator
		if (!_terrain_initialised) {
			_terrain_initialised = initHagl();

		} else {
			predictHagl();
		}

		// control logic
		controlFusionModes();

		// measurement updates

		// Fuse magnetometer data using the selected fuson method and only if angular alignment is complete
		if (_mag_buffer.pop_first_older_than(_imu_sample_delayed.time_us, &_mag_sample_delayed)) {
			if (_control_status.flags.mag_3D && _control_status.flags.yaw_align) {
				fuseMag();

				if (_control_status.flags.mag_dec) {
					fuseDeclination();
				}

			} else if (_control_status.flags.mag_2D && _control_status.flags.yaw_align) {
				fuseMag2D();

			} else if (_control_status.flags.mag_hdg && _control_status.flags.yaw_align) {
				// fusion of a Euler yaw angle from either a 321 or 312 rotation sequence
				fuseHeading();

			} else {
				// do no fusion at all
			}
		}

		// determine if range finder data has fallen behind the fusin time horizon fuse it if we are
		// not tilted too much to use it
		if (_range_buffer.pop_first_older_than(_imu_sample_delayed.time_us, &_range_sample_delayed)
		    && (_R_prev(2, 2) > 0.7071f)) {
			// if we have range data we always try to estimate terrain height
			_fuse_hagl_data = true;

			// only use range finder as a height observation in the main filter if specifically enabled
			if (_control_status.flags.rng_hgt) {
				_fuse_height = true;
			}

		} else if ((_time_last_imu - _time_last_hgt_fuse) > 2 * RNG_MAX_INTERVAL && _control_status.flags.rng_hgt) {
			// If we are supposed to be using range finder data as the primary height sensor, have missed or rejected measurements
			// and are on the ground, then synthesise a measurement at the expected on ground value
			if (!_in_air) {
				_range_sample_delayed.rng = _params.rng_gnd_clearance;
				_range_sample_delayed.time_us = _imu_sample_delayed.time_us;

			}

			_fuse_height = true;
		}

		// determine if baro data has fallen behind the fuson time horizon and fuse it in the main filter if enabled
		if (_baro_buffer.pop_first_older_than(_imu_sample_delayed.time_us, &_baro_sample_delayed)) {
			if (_control_status.flags.baro_hgt) {
				_fuse_height = true;

			} else {
				// calculate a filtered offset between the baro origin and local NED origin if we are not using the baro  as a height reference
				float offset_error =  _state.pos(2) + _baro_sample_delayed.hgt - _hgt_sensor_offset - _baro_hgt_offset;
				_baro_hgt_offset += 0.02f * math::constrain(offset_error, -5.0f, 5.0f);
			}
		}

		// If we are using GPS aiding and data has fallen behind the fusion time horizon then fuse it
		if (_gps_buffer.pop_first_older_than(_imu_sample_delayed.time_us, &_gps_sample_delayed)) {
			// Only use GPS data for position and velocity aiding if enabled
			if (_control_status.flags.gps) {
				_fuse_pos = true;
				_fuse_vert_vel = true;
				_fuse_hor_vel = true;
			}

			// only use gps height observation in the main filter if specifically enabled
			if (_control_status.flags.gps_hgt) {
				_fuse_height = true;
			}

		}

		// If we are using optical flow aiding and data has fallen behind the fusion time horizon, then fuse it
		if (_flow_buffer.pop_first_older_than(_imu_sample_delayed.time_us, &_flow_sample_delayed)
		    && _control_status.flags.opt_flow && (_time_last_imu - _time_last_optflow) < 2e5
		    && (_R_prev(2, 2) > 0.7071f)) {
			_fuse_flow = true;
		}

		// if we aren't doing any aiding, fake GPS measurements at the last known position to constrain drift
		// Coincide fake measurements with baro data for efficiency with a minimum fusion rate of 5Hz
		if (!_control_status.flags.gps && !_control_status.flags.opt_flow
		    && ((_time_last_imu - _time_last_fake_gps > 2e5) || _fuse_height)) {
			_fuse_pos = true;
			_gps_sample_delayed.pos(0) = _last_known_posNE(0);
			_gps_sample_delayed.pos(1) = _last_known_posNE(1);
			_time_last_fake_gps = _time_last_imu;
		}

		// fuse available range finder data into a terrain height estimator if it has been initialised
		if (_fuse_hagl_data && _terrain_initialised) {
			fuseHagl();
			_fuse_hagl_data = false;
		}

		// Fuse available NED velocity and position data into the main filter
		if (_fuse_height || _fuse_pos || _fuse_hor_vel || _fuse_vert_vel) {
			fuseVelPosHeight();
			_fuse_hor_vel = _fuse_vert_vel = _fuse_pos = _fuse_height = false;
		}

		// Update optical flow bias estimates
		calcOptFlowBias();

		// Fuse optical flow LOS rate observations into the main filter
		if (_fuse_flow) {
			fuseOptFlow();
			_last_known_posNE(0) = _state.pos(0);
			_last_known_posNE(1) = _state.pos(1);
			_fuse_flow = false;
		}

		// TODO This is just to get the logic inside but we will only start fusion once we tested this again
		if (_airspeed_buffer.pop_first_older_than(_imu_sample_delayed.time_us, &_airspeed_sample_delayed) && false) {
			fuseAirspeed();
		}
	}

	// the output observer always runs
	calculateOutputStates();

	// check for NaN on attitude states
	if (isnan(_state.quat_nominal(0)) || isnan(_output_new.quat_nominal(0))) {
		return false;
	}

	// We don't have valid data to output until tilt and yaw alignment is complete
	if (_control_status.flags.tilt_align && _control_status.flags.yaw_align) {
		return true;

	} else {
		return false;
	}
}