px4-firmware/EKF/terrain_estimator.cpp

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* Copyright (c) 2015 Estimation and Control Library (ECL). All rights reserved.
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/**
* @file terrain_estimator.cpp
* Function for fusing rangefinder measurements to estimate terrain vertical position/
*
* @author Paul Riseborough <p_riseborough@live.com.au>
*
*/
#include "ekf.h"
#include "mathlib.h"
bool Ekf::initHagl()
{
// get most recent range measurement from buffer
rangeSample latest_measurement = _range_buffer.get_newest();
if ((_time_last_imu - latest_measurement.time_us) < 2e5 && _R_to_earth(2,2) > 0.7071f) {
// if we have a fresh measurement, use it to initialise the terrain estimator
_terrain_vpos = _state.pos(2) + latest_measurement.rng * _R_to_earth(2, 2);
// initialise state variance to variance of measurement
_terrain_var = sq(_params.range_noise);
// success
return true;
} else if (!_control_status.flags.in_air) {
// if on ground we assume a ground clearance
_terrain_vpos = _state.pos(2) + _params.rng_gnd_clearance;
// Use the ground clearance value as our uncertainty
_terrain_var = sq(_params.rng_gnd_clearance);
// ths is a guess
return false;
} else {
// no information - cannot initialise
return false;
}
}
void Ekf::predictHagl()
{
// predict the state variance growth
// the state is the vertical position of the terrain underneath the vehicle
// process noise due to errors in vehicle height estimate
_terrain_var += sq(_imu_sample_delayed.delta_vel_dt * _params.terrain_p_noise);
// process noise due to terrain gradient
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_terrain_var += sq(_imu_sample_delayed.delta_vel_dt * _params.terrain_gradient) * (sq(_state.vel(0)) + sq(_state.vel(
1)));
// limit the variance to prevent it becoming badly conditioned
_terrain_var = math::constrain(_terrain_var, 0.0f, 1e4f);
}
void Ekf::fuseHagl()
{
// If the vehicle is excessively tilted, do not try to fuse range finder observations
if (_R_to_earth(2, 2) > 0.7071f) {
// get a height above ground measurement from the range finder assuming a flat earth
float meas_hagl = _range_sample_delayed.rng * _R_to_earth(2, 2);
// predict the hagl from the vehicle position and terrain height
float pred_hagl = _terrain_vpos - _state.pos(2);
// calculate the innovation
_hagl_innov = pred_hagl - meas_hagl;
// calculate the observation variance adding the variance of the vehicles own height uncertainty and factoring in the effect of tilt on measurement error
float obs_variance = fmaxf(P[9][9], 0.0f) + sq(_params.range_noise / _R_to_earth(2, 2));
// calculate the innovation variance - limiting it to prevent a badly conditioned fusion
_hagl_innov_var = fmaxf(_terrain_var + obs_variance, obs_variance);
// perform an innovation consistency check and only fuse data if it passes
float gate_size = fmaxf(_params.range_innov_gate, 1.0f);
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_terr_test_ratio = sq(_hagl_innov) / (sq(gate_size) * _hagl_innov_var);
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if (_terr_test_ratio <= 1.0f) {
// calculate the Kalman gain
float gain = _terrain_var / _hagl_innov_var;
// correct the state
_terrain_vpos -= gain * _hagl_innov;
// correct the variance
_terrain_var = fmaxf(_terrain_var * (1.0f - gain), 0.0f);
// record last successful fusion event
_time_last_hagl_fuse = _time_last_imu;
_innov_check_fail_status.flags.reject_hagl = false;
} else {
_innov_check_fail_status.flags.reject_hagl = true;
}
} else {
return;
}
}
// return true if the estimate is fresh
// return the estimated vertical position of the terrain relative to the NED origin
bool Ekf::get_terrain_vert_pos(float *ret)
{
memcpy(ret, &_terrain_vpos, sizeof(float));
// The height is useful if the uncertainty in terrain height is significantly smaller than than the estimated height above terrain
bool accuracy_useful = (sqrtf(_terrain_var) < 0.2f * fmaxf((_terrain_vpos - _state.pos(2)), _params.rng_gnd_clearance));
if (_time_last_imu - _time_last_hagl_fuse < 1e6 || accuracy_useful) {
return true;
} else {
return false;
}
}
void Ekf::get_hagl_innov(float *hagl_innov)
{
memcpy(hagl_innov, &_hagl_innov, sizeof(_hagl_innov));
}
void Ekf::get_hagl_innov_var(float *hagl_innov_var)
{
memcpy(hagl_innov_var, &_hagl_innov_var, sizeof(_hagl_innov_var));
}