mirror of
https://gitee.com/mirrors_PX4/PX4-Autopilot.git
synced 2026-04-14 10:07:39 +08:00
They can be selected independently in the control parameter, so there is no reason why they should share the same flag.
366 lines
14 KiB
C++
366 lines
14 KiB
C++
/****************************************************************************
|
|
*
|
|
* Copyright (c) 2019-2023 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.
|
|
*
|
|
****************************************************************************/
|
|
|
|
#include <chrono>
|
|
#include <gtest/gtest.h>
|
|
#include <math.h>
|
|
#include <memory>
|
|
#include "EKF/ekf.h"
|
|
#include "sensor_simulator/sensor_simulator.h"
|
|
#include "sensor_simulator/ekf_wrapper.h"
|
|
|
|
class EkfBasicsTest : public ::testing::Test
|
|
{
|
|
public:
|
|
EkfBasicsTest():
|
|
::testing::Test(),
|
|
_ekf{std::make_shared<Ekf>()},
|
|
_ekf_wrapper(_ekf),
|
|
_sensor_simulator(_ekf)
|
|
{
|
|
};
|
|
|
|
// Setup the Ekf with synthetic measurements
|
|
void SetUp() override
|
|
{
|
|
// run briefly to init, then manually set in air and at rest (default for a real vehicle)
|
|
_ekf->init(0);
|
|
_sensor_simulator.runSeconds(0.1);
|
|
_ekf->set_in_air_status(false);
|
|
_ekf->set_vehicle_at_rest(true);
|
|
|
|
_sensor_simulator.runSeconds(_init_duration_s);
|
|
}
|
|
|
|
// Use this method to clean up any memory, network etc. after each test
|
|
void TearDown() override
|
|
{
|
|
}
|
|
|
|
std::shared_ptr<Ekf> _ekf {nullptr};
|
|
EkfWrapper _ekf_wrapper;
|
|
SensorSimulator _sensor_simulator;
|
|
|
|
// Duration of initalization with only providing baro,mag and IMU
|
|
const uint32_t _init_duration_s{5};
|
|
|
|
protected:
|
|
double _latitude {0.0};
|
|
double _longitude {0.0};
|
|
float _altitude {0.f};
|
|
|
|
double _latitude_new {0.0};
|
|
double _longitude_new {0.0};
|
|
float _altitude_new {0.f};
|
|
|
|
uint64_t _origin_time = 0;
|
|
|
|
private:
|
|
|
|
};
|
|
|
|
|
|
TEST_F(EkfBasicsTest, tiltAlign)
|
|
{
|
|
// GIVEN: reasonable static sensor data for some duration
|
|
// THEN: EKF should tilt align
|
|
EXPECT_TRUE(_ekf->attitude_valid());
|
|
}
|
|
|
|
TEST_F(EkfBasicsTest, initialControlMode)
|
|
{
|
|
// GIVEN: reasonable static sensor data for some duration
|
|
// THEN: EKF control status should be reasonable
|
|
EXPECT_EQ(1, (int) _ekf->control_status_flags().tilt_align);
|
|
EXPECT_EQ(1, (int) _ekf->control_status_flags().yaw_align);
|
|
EXPECT_EQ(0, (int) _ekf->control_status_flags().gnss_pos);
|
|
EXPECT_EQ(0, (int) _ekf->control_status_flags().gnss_vel);
|
|
EXPECT_EQ(0, (int) _ekf->control_status_flags().opt_flow);
|
|
EXPECT_EQ(1, (int) _ekf->control_status_flags().mag_hdg);
|
|
EXPECT_EQ(0, (int) _ekf->control_status_flags().mag_3D);
|
|
EXPECT_EQ(1, (int) _ekf->control_status_flags().mag);
|
|
EXPECT_EQ(1, (int) _ekf->control_status_flags().mag_dec);
|
|
EXPECT_EQ(0, (int) _ekf->control_status_flags().in_air);
|
|
EXPECT_EQ(0, (int) _ekf->control_status_flags().wind);
|
|
EXPECT_EQ(1, (int) _ekf->control_status_flags().baro_hgt);
|
|
EXPECT_EQ(0, (int) _ekf->control_status_flags().rng_hgt);
|
|
EXPECT_EQ(0, (int) _ekf->control_status_flags().gps_hgt);
|
|
EXPECT_EQ(0, (int) _ekf->control_status_flags().ev_pos);
|
|
EXPECT_EQ(0, (int) _ekf->control_status_flags().ev_yaw);
|
|
EXPECT_EQ(0, (int) _ekf->control_status_flags().ev_hgt);
|
|
EXPECT_EQ(0, (int) _ekf->control_status_flags().fuse_beta);
|
|
EXPECT_EQ(0, (int) _ekf->control_status_flags().mag_field_disturbed);
|
|
EXPECT_EQ(0, (int) _ekf->control_status_flags().fixed_wing);
|
|
EXPECT_EQ(0, (int) _ekf->control_status_flags().mag_fault);
|
|
EXPECT_EQ(0, (int) _ekf->control_status_flags().gnd_effect);
|
|
EXPECT_EQ(0, (int) _ekf->control_status_flags().rng_stuck);
|
|
EXPECT_EQ(0, (int) _ekf->control_status_flags().gnss_yaw);
|
|
EXPECT_EQ(0, (int) _ekf->control_status_flags().mag_aligned_in_flight);
|
|
EXPECT_EQ(0, (int) _ekf->control_status_flags().ev_vel);
|
|
EXPECT_EQ(0, (int) _ekf->control_status_flags().synthetic_mag_z);
|
|
}
|
|
|
|
TEST_F(EkfBasicsTest, convergesToZero)
|
|
{
|
|
// GIVEN: initialized EKF with default IMU, baro and mag input
|
|
_sensor_simulator.runSeconds(4);
|
|
|
|
const Vector3f pos = _ekf->getPosition();
|
|
const Vector3f vel = _ekf->getVelocity();
|
|
const Vector3f accel_bias = _ekf->getAccelBias();
|
|
const Vector3f gyro_bias = _ekf->getGyroBias();
|
|
const Vector3f ref{0.0f, 0.0f, 0.0f};
|
|
|
|
// THEN: EKF should stay or converge to zero
|
|
EXPECT_TRUE(matrix::isEqual(pos, ref, 0.001f));
|
|
EXPECT_TRUE(matrix::isEqual(vel, ref, 0.001f));
|
|
EXPECT_TRUE(matrix::isEqual(accel_bias, ref, 0.001f));
|
|
EXPECT_TRUE(matrix::isEqual(gyro_bias, ref, 0.001f));
|
|
}
|
|
|
|
TEST_F(EkfBasicsTest, gpsFusion)
|
|
{
|
|
// GIVEN: initialized EKF with default IMU, baro and mag input for
|
|
// WHEN: setting GPS measurements for 11s, minimum GPS health time is set to 10 sec
|
|
|
|
_sensor_simulator.startGps();
|
|
_sensor_simulator.runSeconds(11);
|
|
|
|
// THEN: EKF should fuse GPS, but no other position sensor
|
|
EXPECT_EQ(1, (int) _ekf->control_status_flags().tilt_align);
|
|
EXPECT_EQ(1, (int) _ekf->control_status_flags().yaw_align);
|
|
EXPECT_EQ(1, (int) _ekf->control_status_flags().gnss_pos);
|
|
EXPECT_EQ(1, (int) _ekf->control_status_flags().gnss_vel);
|
|
EXPECT_EQ(0, (int) _ekf->control_status_flags().opt_flow);
|
|
EXPECT_EQ(1, (int) _ekf->control_status_flags().mag_hdg);
|
|
EXPECT_EQ(0, (int) _ekf->control_status_flags().mag_3D);
|
|
EXPECT_EQ(1, (int) _ekf->control_status_flags().mag);
|
|
EXPECT_EQ(1, (int) _ekf->control_status_flags().mag_dec);
|
|
EXPECT_EQ(0, (int) _ekf->control_status_flags().in_air);
|
|
EXPECT_EQ(0, (int) _ekf->control_status_flags().wind);
|
|
EXPECT_EQ(1, (int) _ekf->control_status_flags().baro_hgt);
|
|
EXPECT_EQ(0, (int) _ekf->control_status_flags().rng_hgt);
|
|
EXPECT_EQ(0, (int) _ekf->control_status_flags().gps_hgt);
|
|
EXPECT_EQ(0, (int) _ekf->control_status_flags().ev_pos);
|
|
EXPECT_EQ(0, (int) _ekf->control_status_flags().ev_yaw);
|
|
EXPECT_EQ(0, (int) _ekf->control_status_flags().ev_hgt);
|
|
EXPECT_EQ(0, (int) _ekf->control_status_flags().fuse_beta);
|
|
EXPECT_EQ(0, (int) _ekf->control_status_flags().mag_field_disturbed);
|
|
EXPECT_EQ(0, (int) _ekf->control_status_flags().fixed_wing);
|
|
EXPECT_EQ(0, (int) _ekf->control_status_flags().mag_fault);
|
|
EXPECT_EQ(0, (int) _ekf->control_status_flags().gnd_effect);
|
|
EXPECT_EQ(0, (int) _ekf->control_status_flags().rng_stuck);
|
|
EXPECT_EQ(0, (int) _ekf->control_status_flags().gnss_yaw);
|
|
EXPECT_EQ(0, (int) _ekf->control_status_flags().mag_aligned_in_flight);
|
|
EXPECT_EQ(0, (int) _ekf->control_status_flags().ev_vel);
|
|
EXPECT_EQ(0, (int) _ekf->control_status_flags().synthetic_mag_z);
|
|
}
|
|
|
|
TEST_F(EkfBasicsTest, accelBiasEstimation)
|
|
{
|
|
// GIVEN: initialized EKF with default IMU, baro and mag input
|
|
// WHEN: Added more sensor measurements with accel bias and gps measurements
|
|
const Vector3f accel_bias_sim = {0.0f, 0.0f, 0.1f};
|
|
|
|
_sensor_simulator.startGps();
|
|
_sensor_simulator.setImuBias(accel_bias_sim, Vector3f(0.0f, 0.0f, 0.0f));
|
|
_ekf->set_min_required_gps_health_time(1e6);
|
|
_sensor_simulator.runSeconds(60);
|
|
|
|
const Vector3f pos = _ekf->getPosition();
|
|
const Vector3f vel = _ekf->getVelocity();
|
|
const Vector3f accel_bias = _ekf->getAccelBias();
|
|
const Vector3f gyro_bias = _ekf->getGyroBias();
|
|
const Vector3f zero = {0.0f, 0.0f, 0.0f};
|
|
|
|
// THEN: EKF should stay or converge to zero
|
|
EXPECT_TRUE(matrix::isEqual(pos, zero, 0.05f))
|
|
<< "pos = " << pos(0) << ", " << pos(1) << ", " << pos(2);
|
|
EXPECT_TRUE(matrix::isEqual(vel, zero, 0.02f))
|
|
<< "vel = " << vel(0) << ", " << vel(1) << ", " << vel(2);
|
|
EXPECT_TRUE(matrix::isEqual(accel_bias, accel_bias_sim, 0.01f))
|
|
<< "accel_bias = " << accel_bias(0) << ", " << accel_bias(1) << ", " << accel_bias(2);
|
|
EXPECT_TRUE(matrix::isEqual(gyro_bias, zero, 0.001f))
|
|
<< "gyro_bias = " << gyro_bias(0) << ", " << gyro_bias(1) << ", " << gyro_bias(2);
|
|
}
|
|
|
|
TEST_F(EkfBasicsTest, reset_ekf_global_origin_gps_initialized)
|
|
{
|
|
_latitude_new = 15.0000005;
|
|
_longitude_new = 115.0000005;
|
|
_altitude_new = 100.0;
|
|
|
|
_sensor_simulator.startGps();
|
|
_ekf_wrapper.enableGpsHeightFusion();
|
|
|
|
_sensor_simulator.setGpsLatitude(_latitude_new);
|
|
_sensor_simulator.setGpsLongitude(_longitude_new);
|
|
_sensor_simulator.setGpsAltitude(_altitude_new);
|
|
_ekf->set_min_required_gps_health_time(1e6);
|
|
_sensor_simulator.runSeconds(1);
|
|
_sensor_simulator.runSeconds(5);
|
|
|
|
_ekf->getEkfGlobalOrigin(_origin_time, _latitude, _longitude, _altitude);
|
|
|
|
EXPECT_DOUBLE_EQ(_latitude, _latitude_new);
|
|
EXPECT_DOUBLE_EQ(_longitude, _longitude_new);
|
|
|
|
// In baro height ref the origin is set using baro data and not GNSS altitude
|
|
EXPECT_NEAR(_altitude, _sensor_simulator._baro.getData(), 0.01f);
|
|
|
|
// Note: we cannot reset too far since the local position is limited to 1e6m
|
|
_latitude_new = 14.0000005;
|
|
_longitude_new = 109.0000005;
|
|
_altitude_new = 1500.0;
|
|
|
|
_ekf->setEkfGlobalOrigin(_latitude_new, _longitude_new, _altitude_new);
|
|
_ekf->getEkfGlobalOrigin(_origin_time, _latitude, _longitude, _altitude);
|
|
|
|
EXPECT_DOUBLE_EQ(_latitude, _latitude_new);
|
|
EXPECT_DOUBLE_EQ(_longitude, _longitude_new);
|
|
EXPECT_FLOAT_EQ(_altitude, _altitude_new);
|
|
|
|
_sensor_simulator.runSeconds(1);
|
|
|
|
// After the change of origin, the pos and vel innovations should stay small
|
|
EXPECT_NEAR(_ekf->aid_src_gnss_pos().test_ratio[0], 0.f, 0.05f);
|
|
EXPECT_NEAR(_ekf->aid_src_gnss_pos().test_ratio[1], 0.f, 0.05f);
|
|
EXPECT_NEAR(_ekf->aid_src_gnss_hgt().test_ratio, 0.f, 0.05f);
|
|
|
|
EXPECT_NEAR(_ekf->aid_src_baro_hgt().test_ratio, 0.f, 0.05f);
|
|
|
|
EXPECT_NEAR(_ekf->aid_src_gnss_vel().test_ratio[0], 0.f, 0.02f);
|
|
EXPECT_NEAR(_ekf->aid_src_gnss_vel().test_ratio[1], 0.f, 0.02f);
|
|
EXPECT_NEAR(_ekf->aid_src_gnss_vel().test_ratio[2], 0.f, 0.02f);
|
|
}
|
|
|
|
TEST_F(EkfBasicsTest, reset_ekf_global_origin_gps_uninitialized)
|
|
{
|
|
_ekf->getEkfGlobalOrigin(_origin_time, _latitude, _longitude, _altitude);
|
|
|
|
EXPECT_DOUBLE_EQ(_latitude, _latitude_new);
|
|
EXPECT_DOUBLE_EQ(_longitude, _longitude_new);
|
|
|
|
// In baro height ref the origin is set using baro data and not GNSS altitude
|
|
EXPECT_NEAR(_altitude, _sensor_simulator._baro.getData(), 0.01f);
|
|
|
|
EXPECT_FALSE(_ekf->global_origin_valid());
|
|
|
|
_latitude_new = 45.0000005;
|
|
_longitude_new = 111.0000005;
|
|
_altitude_new = 1500.0;
|
|
|
|
_ekf->setEkfGlobalOrigin(_latitude_new, _longitude_new, _altitude_new);
|
|
_ekf->getEkfGlobalOrigin(_origin_time, _latitude, _longitude, _altitude);
|
|
|
|
EXPECT_DOUBLE_EQ(_latitude, _latitude_new);
|
|
EXPECT_DOUBLE_EQ(_longitude, _longitude_new);
|
|
EXPECT_FLOAT_EQ(_altitude, _altitude_new);
|
|
|
|
// Global origin has been initialized but since there is no position aiding, the global
|
|
// position is still not valid
|
|
EXPECT_TRUE(_ekf->global_origin_valid());
|
|
EXPECT_FALSE(_ekf->isGlobalHorizontalPositionValid());
|
|
|
|
_sensor_simulator.runSeconds(1);
|
|
|
|
// After the change of origin, the pos and vel innovations should stay small
|
|
EXPECT_NEAR(_ekf->aid_src_gnss_pos().test_ratio[0], 0.f, 0.05f);
|
|
EXPECT_NEAR(_ekf->aid_src_gnss_pos().test_ratio[1], 0.f, 0.05f);
|
|
EXPECT_NEAR(_ekf->aid_src_gnss_hgt().test_ratio, 0.f, 0.05f);
|
|
|
|
EXPECT_NEAR(_ekf->aid_src_gnss_vel().test_ratio[0], 0.f, 0.02f);
|
|
EXPECT_NEAR(_ekf->aid_src_gnss_vel().test_ratio[1], 0.f, 0.02f);
|
|
EXPECT_NEAR(_ekf->aid_src_gnss_vel().test_ratio[2], 0.f, 0.02f);
|
|
}
|
|
|
|
TEST_F(EkfBasicsTest, global_position_from_local_ev)
|
|
{
|
|
// GIVEN: external vision (local) aiding
|
|
_ekf_wrapper.enableExternalVisionPositionFusion();
|
|
_sensor_simulator._vio.setPositionFrameToLocalNED();
|
|
_sensor_simulator.startExternalVision();
|
|
|
|
_sensor_simulator.runSeconds(1);
|
|
|
|
// THEN; since there is no origin, only the local position can be valid
|
|
EXPECT_TRUE(_ekf->isLocalHorizontalPositionValid());
|
|
EXPECT_FALSE(_ekf->global_origin_valid());
|
|
EXPECT_FALSE(_ekf->isGlobalHorizontalPositionValid());
|
|
|
|
_latitude_new = 45.0000005;
|
|
_longitude_new = 111.0000005;
|
|
_altitude_new = 1500.0;
|
|
|
|
// BUT WHEN: the global origin is set (manually)
|
|
_ekf->setEkfGlobalOrigin(_latitude_new, _longitude_new, _altitude_new);
|
|
|
|
// THEN: local and global positions are valid
|
|
EXPECT_TRUE(_ekf->global_origin_valid());
|
|
EXPECT_TRUE(_ekf->isGlobalHorizontalPositionValid());
|
|
EXPECT_TRUE(_ekf->isLocalHorizontalPositionValid());
|
|
}
|
|
|
|
TEST_F(EkfBasicsTest, global_position_from_opt_flow)
|
|
{
|
|
// GIVEN: optical flow aiding
|
|
const float max_flow_rate = 5.f;
|
|
const float min_ground_distance = 0.f;
|
|
const float max_ground_distance = 50.f;
|
|
_ekf->set_optical_flow_limits(max_flow_rate, min_ground_distance, max_ground_distance);
|
|
_sensor_simulator.startFlow();
|
|
_ekf_wrapper.enableFlowFusion();
|
|
_sensor_simulator.startRangeFinder();
|
|
|
|
_sensor_simulator.runSeconds(1);
|
|
|
|
// THEN; since there is no origin, only the local position can be valid
|
|
EXPECT_TRUE(_ekf->isLocalHorizontalPositionValid());
|
|
EXPECT_FALSE(_ekf->global_origin_valid());
|
|
EXPECT_FALSE(_ekf->isGlobalHorizontalPositionValid());
|
|
|
|
_latitude_new = 45.0000005;
|
|
_longitude_new = 111.0000005;
|
|
_altitude_new = 1500.0;
|
|
|
|
// BUT WHEN: the global origin is set (manually)
|
|
_ekf->setEkfGlobalOrigin(_latitude_new, _longitude_new, _altitude_new);
|
|
|
|
// THEN: local and global positions are valid
|
|
EXPECT_TRUE(_ekf->global_origin_valid());
|
|
EXPECT_TRUE(_ekf->isGlobalHorizontalPositionValid());
|
|
EXPECT_TRUE(_ekf->isLocalHorizontalPositionValid());
|
|
}
|
|
|
|
// TODO: Add sampling tests
|