ekf2_test: add multi height source unit tests

This commit is contained in:
bresch 2022-08-03 16:25:14 +02:00 committed by Daniel Agar
parent aba2eac0df
commit 3fb218600a
4 changed files with 304 additions and 0 deletions

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@ -391,6 +391,7 @@ public:
// Returns true if the output of the yaw emergency estimator can be used for a reset
bool isYawEmergencyEstimateAvailable() const;
uint8_t getHeightSensorRef() const { return _height_sensor_ref; }
const BiasEstimator::status &getBaroBiasEstimatorStatus() const { return _baro_b_est.getStatus(); }
const BiasEstimator::status &getGpsHgtBiasEstimatorStatus() const { return _gps_hgt_b_est.getStatus(); }
const BiasEstimator::status &getRngHgtBiasEstimatorStatus() const { return _rng_hgt_b_est.getStatus(); }

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@ -44,6 +44,7 @@ px4_add_unit_gtest(SRC test_EKF_flow.cpp LINKLIBS ecl_EKF ecl_sensor_sim ecl_tes
px4_add_unit_gtest(SRC test_EKF_fusionLogic.cpp LINKLIBS ecl_EKF ecl_sensor_sim ecl_test_helper)
px4_add_unit_gtest(SRC test_EKF_gps.cpp LINKLIBS ecl_EKF ecl_sensor_sim ecl_test_helper)
px4_add_unit_gtest(SRC test_EKF_gps_yaw.cpp LINKLIBS ecl_EKF ecl_sensor_sim)
px4_add_unit_gtest(SRC test_EKF_height_fusion.cpp LINKLIBS ecl_EKF ecl_sensor_sim ecl_test_helper)
px4_add_unit_gtest(SRC test_EKF_imuSampling.cpp LINKLIBS ecl_EKF ecl_sensor_sim)
px4_add_unit_gtest(SRC test_EKF_initialization.cpp LINKLIBS ecl_EKF ecl_sensor_sim)
px4_add_unit_gtest(SRC test_EKF_measurementSampling.cpp LINKLIBS ecl_EKF ecl_sensor_sim)

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@ -52,6 +52,7 @@ public:
~Baro();
void setData(float baro);
float getData() const { return _baro_data; }
private:
float _baro_data{0.0f};

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@ -0,0 +1,301 @@
/****************************************************************************
*
* Copyright (c) 2022 PX4 Development Team. All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions
* are met:
*
* 1. Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
* 2. Redistributions in binary form must reproduce the above copyright
* notice, this list of conditions and the following disclaimer in
* the documentation and/or other materials provided with the
* distribution.
* 3. Neither the name PX4 nor the names of its contributors may be
* used to endorse or promote products derived from this software
* without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
* "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
* LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
* FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
* COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
* INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
* BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS
* OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED
* AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
* LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
* ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
* POSSIBILITY OF SUCH DAMAGE.
*
****************************************************************************/
/**
* Height fusion logic
*/
#include <gtest/gtest.h>
#include "EKF/ekf.h"
#include "sensor_simulator/sensor_simulator.h"
#include "sensor_simulator/ekf_wrapper.h"
#include "test_helper/reset_logging_checker.h"
class EkfHeightFusionTest : public ::testing::Test
{
public:
EkfHeightFusionTest(): ::testing::Test(),
_ekf{std::make_shared<Ekf>()},
_sensor_simulator(_ekf),
_ekf_wrapper(_ekf) {};
std::shared_ptr<Ekf> _ekf;
SensorSimulator _sensor_simulator;
EkfWrapper _ekf_wrapper;
// Setup the Ekf with synthetic measurements
void SetUp() override
{
_ekf->init(0);
_ekf_wrapper.disableBaroHeightFusion();
_sensor_simulator.runSeconds(0.1);
_ekf->set_in_air_status(false);
_ekf->set_vehicle_at_rest(true);
_sensor_simulator.startGps();
_sensor_simulator._rng.setData(1.f, 100);
_sensor_simulator._rng.setLimits(0.1f, 9.f);
_sensor_simulator.startRangeFinder();
_sensor_simulator.startExternalVision();
_sensor_simulator.runSeconds(15);
_ekf->set_in_air_status(true);
_ekf->set_vehicle_at_rest(false);
}
// Use this method to clean up any memory, network etc. after each test
void TearDown() override
{
}
};
TEST_F(EkfHeightFusionTest, noAiding)
{
EXPECT_FALSE(_ekf_wrapper.isIntendingBaroHeightFusion());
EXPECT_FALSE(_ekf_wrapper.isIntendingGpsHeightFusion());
EXPECT_FALSE(_ekf_wrapper.isIntendingRangeHeightFusion());
EXPECT_FALSE(_ekf_wrapper.isIntendingExternalVisionHeightFusion());
}
TEST_F(EkfHeightFusionTest, baroRef)
{
// GIVEN: baro reference with GPS and range height fusion
_ekf_wrapper.setBaroHeightRef();
_ekf_wrapper.enableBaroHeightFusion();
_sensor_simulator.runSeconds(0.1);
_ekf_wrapper.enableGpsHeightFusion();
_ekf_wrapper.enableRangeHeightFusion();
/* _ekf_wrapper.enableExternalVisionHeightFusion(); */ //TODO: this currently sets the reference to EV
_sensor_simulator.runSeconds(1);
EXPECT_TRUE(_ekf->getHeightSensorRef() == HeightSensor::BARO);
EXPECT_TRUE(_ekf_wrapper.isIntendingBaroHeightFusion());
EXPECT_TRUE(_ekf_wrapper.isIntendingGpsHeightFusion());
EXPECT_TRUE(_ekf_wrapper.isIntendingRangeHeightFusion());
EXPECT_FALSE(_ekf_wrapper.isIntendingExternalVisionHeightFusion());
// AND WHEN: the baro data increases
const float baro_increment = 5.f;
_sensor_simulator._baro.setData(_sensor_simulator._baro.getData() + baro_increment);
_sensor_simulator.runSeconds(60);
// THEN: the height estimate converges to the baro value
// and the other height sources are getting their bias estimated
EXPECT_NEAR(_ekf->getPosition()(2), -baro_increment, 0.1f);
const BiasEstimator::status &baro_status = _ekf->getBaroBiasEstimatorStatus();
/* EXPECT_EQ(status.bias, _sensor_simulator._baro.getData()); */ // This is the real bias, but the estimator isn't running so the status isn't updated
EXPECT_EQ(baro_status.bias, 0.f);
const BiasEstimator::status &gps_status = _ekf->getGpsHgtBiasEstimatorStatus();
EXPECT_NEAR(gps_status.bias, -baro_increment, 0.2f);
const BiasEstimator::status &rng_status = _ekf->getRngHgtBiasEstimatorStatus();
EXPECT_NEAR(rng_status.bias, -baro_increment, 1.2f);
const BiasEstimator::status &ev_status = _ekf->getEvHgtBiasEstimatorStatus();
EXPECT_EQ(ev_status.bias, 0.f);
// BUT WHEN: the baro data jumps by a lot
_sensor_simulator._baro.setData(_sensor_simulator._baro.getData() + 200.f);
_sensor_simulator.runSeconds(10);
// THEN: the baro is stopped and the GPS takes the role of the height reference
EXPECT_TRUE(_ekf->getHeightSensorRef() == HeightSensor::GNSS);
EXPECT_FALSE(_ekf_wrapper.isIntendingBaroHeightFusion());
EXPECT_TRUE(_ekf_wrapper.isIntendingGpsHeightFusion());
EXPECT_TRUE(_ekf_wrapper.isIntendingRangeHeightFusion());
// AND WHEN: the gps height increases
const float gps_increment = 1.f;
_sensor_simulator._gps.stepHeightByMeters(gps_increment);
_sensor_simulator.runSeconds(60);
// THEN: the GPS bias stays constant
EXPECT_EQ(gps_status.bias, _ekf->getGpsHgtBiasEstimatorStatus().bias);
// the estimated height follows the GPS height
EXPECT_NEAR(_ekf->getPosition()(2), -(baro_increment + gps_increment), 0.3f);
// and the range finder bias is adjusted to follow the new reference
const BiasEstimator::status &rng_status_2 = _ekf->getRngHgtBiasEstimatorStatus();
EXPECT_NEAR(rng_status_2.bias, -(baro_increment + gps_increment), 1.3f);
}
TEST_F(EkfHeightFusionTest, gpsRef)
{
// GIVEN: GPS reference, baro and range height fusion
_ekf_wrapper.setGpsHeightRef();
_ekf_wrapper.enableBaroHeightFusion();
_ekf_wrapper.enableGpsHeightFusion();
_ekf_wrapper.enableRangeHeightFusion();
_sensor_simulator.runSeconds(1);
EXPECT_TRUE(_ekf->getHeightSensorRef() == HeightSensor::GNSS);
EXPECT_TRUE(_ekf_wrapper.isIntendingBaroHeightFusion());
EXPECT_TRUE(_ekf_wrapper.isIntendingGpsHeightFusion());
EXPECT_TRUE(_ekf_wrapper.isIntendingRangeHeightFusion());
EXPECT_FALSE(_ekf_wrapper.isIntendingExternalVisionHeightFusion());
// AND WHEN: the baro data increases
const float baro_initial = _sensor_simulator._baro.getData();
const float baro_increment = 5.f;
_sensor_simulator._baro.setData(baro_initial + baro_increment);
_sensor_simulator.runSeconds(100);
// THEN: the height estimate is temporarily biased but then converges back to
// the GPS height value and the baro gets its bias estimated
EXPECT_NEAR(_ekf->getPosition()(2), 0.f, 1.f);
const BiasEstimator::status &baro_status = _ekf->getBaroBiasEstimatorStatus();
EXPECT_NEAR(baro_status.bias, baro_initial + baro_increment, 1.3f);
const BiasEstimator::status &rng_status = _ekf->getRngHgtBiasEstimatorStatus();
EXPECT_NEAR(rng_status.bias, 0.f, 1.f);
// BUT WHEN: the GPS jumps by a lot
const float gps_step = 100.f;
_sensor_simulator._gps.stepHeightByMeters(gps_step);
_sensor_simulator.runSeconds(10);
// THEN: the height is reset to the new GPS altitude and all the bias estimates are updated accordingly
EXPECT_NEAR(_ekf->getPosition()(2), -gps_step, 1.f);
EXPECT_TRUE(_ekf->getHeightSensorRef() == HeightSensor::GNSS);
EXPECT_TRUE(_ekf_wrapper.isIntendingBaroHeightFusion());
EXPECT_TRUE(_ekf_wrapper.isIntendingGpsHeightFusion());
EXPECT_TRUE(_ekf_wrapper.isIntendingRangeHeightFusion());
EXPECT_NEAR(_ekf->getBaroBiasEstimatorStatus().bias, baro_initial + baro_increment - gps_step, 0.2f);
// and the innovations are close to zero
float baro_innov = NAN;
_ekf->getBaroHgtInnov(baro_innov);
EXPECT_NEAR(baro_innov, 0.f, 0.2f);
float rng_innov = NAN;
_ekf->getRngHgtInnov(rng_innov);
EXPECT_NEAR(rng_innov, 0.f, 0.2f);
}
TEST_F(EkfHeightFusionTest, baroRefFailOver)
{
// GIVEN: baro reference with GPS and range height fusion
_ekf_wrapper.setBaroHeightRef();
_ekf_wrapper.enableBaroHeightFusion();
_ekf_wrapper.enableGpsHeightFusion();
_ekf_wrapper.enableRangeHeightFusion();
_sensor_simulator.runSeconds(0.1);
EXPECT_TRUE(_ekf->getHeightSensorRef() == HeightSensor::BARO);
_sensor_simulator.stopBaro();
_sensor_simulator.runSeconds(10);
EXPECT_TRUE(_ekf->getHeightSensorRef() == HeightSensor::GNSS);
_sensor_simulator.stopGps();
_sensor_simulator.runSeconds(10);
EXPECT_TRUE(_ekf->getHeightSensorRef() == HeightSensor::RANGE);
_sensor_simulator.stopRangeFinder();
_sensor_simulator.runSeconds(10);
EXPECT_TRUE(_ekf->getHeightSensorRef() == HeightSensor::UNKNOWN);
}
TEST_F(EkfHeightFusionTest, gpsRefFailOver)
{
// GIVEN: baro reference with GPS and range height fusion
_sensor_simulator.startBaro();
_sensor_simulator.startGps();
_sensor_simulator.startRangeFinder();
_ekf_wrapper.setGpsHeightRef();
_ekf_wrapper.enableBaroHeightFusion();
_ekf_wrapper.enableGpsHeightFusion();
_ekf_wrapper.enableRangeHeightFusion();
// The GPS takes time to start, use baro at first
_sensor_simulator.runSeconds(0.1);
EXPECT_TRUE(_ekf->getHeightSensorRef() == HeightSensor::BARO);
// Then switch to reference height source
_sensor_simulator.runSeconds(10);
EXPECT_TRUE(_ekf->getHeightSensorRef() == HeightSensor::GNSS);
// And switch to the fallback sources once the current reference fails
_sensor_simulator.stopGps();
_sensor_simulator.runSeconds(10);
EXPECT_TRUE(_ekf->getHeightSensorRef() == HeightSensor::BARO);
_sensor_simulator.stopBaro();
_sensor_simulator.runSeconds(10);
EXPECT_TRUE(_ekf->getHeightSensorRef() == HeightSensor::RANGE);
_sensor_simulator.stopRangeFinder();
_sensor_simulator.runSeconds(10);
EXPECT_TRUE(_ekf->getHeightSensorRef() == HeightSensor::UNKNOWN);
}
TEST_F(EkfHeightFusionTest, changeEkfOriginAlt)
{
_sensor_simulator.startBaro();
_sensor_simulator.startGps();
_sensor_simulator.startRangeFinder();
_ekf_wrapper.setGpsHeightRef();
_ekf_wrapper.enableBaroHeightFusion();
_ekf_wrapper.enableGpsHeightFusion();
_ekf_wrapper.enableRangeHeightFusion();
_sensor_simulator.runSeconds(10);
uint64_t origin_time;
double lat;
double lon;
float alt;
_ekf->getEkfGlobalOrigin(origin_time, lat, lon, alt);
ResetLoggingChecker reset_logging_checker(_ekf);
reset_logging_checker.capturePreResetState();
const float alt_increment = 4478.f;
_ekf->setEkfGlobalOrigin(lat, lon, alt + alt_increment);
_sensor_simulator.runSeconds(10);
// The origin moves up by some altitude, the current position (down) is then higher
EXPECT_NEAR(_ekf->getPosition()(2), alt_increment, 1.f);
reset_logging_checker.capturePostResetState();
EXPECT_NEAR(_ekf->getBaroBiasEstimatorStatus().bias, _sensor_simulator._baro.getData() + alt_increment, 0.2f);
EXPECT_NEAR(_ekf->getRngHgtBiasEstimatorStatus().bias, alt_increment, 1.f);
EXPECT_TRUE(reset_logging_checker.isVerticalVelocityResetCounterIncreasedBy(0));
EXPECT_TRUE(reset_logging_checker.isVerticalPositionResetCounterIncreasedBy(1));
}