PX4-Autopilot/EKF/sensor_range_finder.cpp
bresch c212975abe rng height: reset to baro using common logic
The failsafe from rng height to baro height should occur after a reset
to baro triggered by the controlHeightSensorTimeouts function and not in
the fusion selector.

Until now, the EKF was fusing baro measurements between rng updates if
the range finder ODR was slower than the EKF update rate. This is not
the case anymore as the height reset occurs after 5 seconds.

The unit test has been extended to show this behavior.
2021-01-07 10:07:57 +01:00

143 lines
4.6 KiB
C++

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/**
* @file sensor_range_finder.cpp
*
* @author Mathieu Bresciani <brescianimathieu@gmail.com>
*
*/
#include "sensor_range_finder.hpp"
namespace estimator
{
namespace sensor
{
void SensorRangeFinder::runChecks(const uint64_t current_time_us, const Dcmf &R_to_earth)
{
updateSensorToEarthRotation(R_to_earth);
updateValidity(current_time_us);
}
void SensorRangeFinder::updateSensorToEarthRotation(const Dcmf &R_to_earth)
{
// calculate 2,2 element of rotation matrix from sensor frame to earth frame
// this is required for use of range finder and flow data
_cos_tilt_rng_to_earth = R_to_earth(2, 0) * _sin_pitch_offset + R_to_earth(2, 2) * _cos_pitch_offset;
}
void SensorRangeFinder::updateValidity(uint64_t current_time_us)
{
updateDtDataLpf(current_time_us);
if (isSampleOutOfDate(current_time_us) || !isDataContinuous()) {
_is_sample_valid = false;
_is_regularly_sending_data = false;
return;
}
_is_regularly_sending_data = true;
// Don't run the checks unless we have retrieved new data from the buffer
if (_is_sample_ready) {
_is_sample_valid = false;
if (_sample.quality == 0) {
_time_bad_quality_us = current_time_us;
} else if (current_time_us - _time_bad_quality_us > _quality_hyst_us) {
// We did not receive bad quality data for some time
if (isTiltOk() && isDataInRange()) {
updateStuckCheck();
if (!_is_stuck) {
_is_sample_valid = true;
_time_last_valid_us = _sample.time_us;
}
}
}
}
}
void SensorRangeFinder::updateDtDataLpf(uint64_t current_time_us)
{
// Calculate a first order IIR low-pass filtered time of arrival between samples using a 2 second time constant.
float alpha = 0.5f * _dt_update;
_dt_data_lpf = _dt_data_lpf * (1.0f - alpha) + alpha * (current_time_us - _sample.time_us);
// Apply spike protection to the filter state.
_dt_data_lpf = fminf(_dt_data_lpf, 4e6f);
}
inline bool SensorRangeFinder::isSampleOutOfDate(uint64_t current_time_us) const
{
return (current_time_us - _sample.time_us) > 2 * RNG_MAX_INTERVAL;
}
inline bool SensorRangeFinder::isDataInRange() const
{
return (_sample.rng >= _rng_valid_min_val) && (_sample.rng <= _rng_valid_max_val);
}
void SensorRangeFinder::updateStuckCheck()
{
// Check for "stuck" range finder measurements when range was not valid for certain period
// This handles a failure mode observed with some lidar sensors
if (((_sample.time_us - _time_last_valid_us) > (uint64_t)10e6)) {
// require a variance of rangefinder values to check for "stuck" measurements
if (_stuck_max_val - _stuck_min_val > _stuck_threshold) {
_stuck_min_val = 0.0f;
_stuck_max_val = 0.0f;
_is_stuck = false;
} else {
if (_sample.rng > _stuck_max_val) {
_stuck_max_val = _sample.rng;
}
if (_stuck_min_val < 0.1f || _sample.rng < _stuck_min_val) {
_stuck_min_val = _sample.rng;
}
_is_stuck = true;
}
}
}
} // namespace sensor
} // namespace estimator