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* ekf2: selector treat combined test ratio > 1 as a warning * ekf2: wait for 1s of constant warning to trigger an instance switch Co-authored-by: bresch <brescianimathieu@gmail.com>
832 lines
29 KiB
C++
832 lines
29 KiB
C++
/****************************************************************************
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*
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* Copyright (c) 2020-2021 PX4 Development Team. All rights reserved.
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*
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* Redistribution and use in source and binary forms, with or without
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* modification, are permitted provided that the following conditions
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* are met:
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*
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* 1. Redistributions of source code must retain the above copyright
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* notice, this list of conditions and the following disclaimer.
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* 2. Redistributions in binary form must reproduce the above copyright
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* notice, this list of conditions and the following disclaimer in
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* the documentation and/or other materials provided with the
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* distribution.
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* 3. Neither the name PX4 nor the names of its contributors may be
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* used to endorse or promote products derived from this software
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* without specific prior written permission.
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*
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* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
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* "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
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* LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
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* FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
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* COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
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* INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
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* BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS
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* OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED
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* AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
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* LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
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* ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
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* POSSIBILITY OF SUCH DAMAGE.
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*
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****************************************************************************/
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#include "EKF2Selector.hpp"
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using namespace time_literals;
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using matrix::Quatf;
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using matrix::Vector2f;
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using math::constrain;
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using math::radians;
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EKF2Selector::EKF2Selector() :
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ModuleParams(nullptr),
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ScheduledWorkItem("ekf2_selector", px4::wq_configurations::nav_and_controllers)
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{
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}
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EKF2Selector::~EKF2Selector()
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{
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Stop();
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}
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bool EKF2Selector::Start()
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{
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ScheduleNow();
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return true;
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}
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void EKF2Selector::Stop()
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{
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for (int i = 0; i < EKF2_MAX_INSTANCES; i++) {
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_instance[i].estimator_attitude_sub.unregisterCallback();
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_instance[i].estimator_status_sub.unregisterCallback();
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}
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ScheduleClear();
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}
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void EKF2Selector::PrintInstanceChange(const uint8_t old_instance, uint8_t new_instance)
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{
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const char *old_reason = nullptr;
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if (_instance[old_instance].filter_fault) {
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old_reason = " (filter fault)";
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} else if (_instance[old_instance].timeout) {
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old_reason = " (timeout)";
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} else if (_gyro_fault_detected) {
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old_reason = " (gyro fault)";
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} else if (_accel_fault_detected) {
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old_reason = " (accel fault)";
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} else if (!_instance[_selected_instance].healthy && (_instance[_selected_instance].healthy_count > 0)) {
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// skipped if previous instance was never healthy in the first place (eg initialization)
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old_reason = " (unhealthy)";
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}
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const char *new_reason = nullptr;
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if (_request_instance.load() == new_instance) {
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new_reason = " (user selected)";
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}
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if (old_reason || new_reason) {
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if (old_reason == nullptr) {
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old_reason = "";
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}
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if (new_reason == nullptr) {
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new_reason = "";
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}
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PX4_WARN("primary EKF changed %" PRIu8 "%s -> %" PRIu8 "%s", old_instance, old_reason, new_instance, new_reason);
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}
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}
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bool EKF2Selector::SelectInstance(uint8_t ekf_instance)
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{
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if ((ekf_instance != _selected_instance) && (ekf_instance < _available_instances)) {
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// update sensor_selection immediately
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sensor_selection_s sensor_selection{};
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sensor_selection.accel_device_id = _instance[ekf_instance].accel_device_id;
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sensor_selection.gyro_device_id = _instance[ekf_instance].gyro_device_id;
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sensor_selection.timestamp = hrt_absolute_time();
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_sensor_selection_pub.publish(sensor_selection);
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if (_selected_instance != INVALID_INSTANCE) {
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// switch callback registration
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_instance[_selected_instance].estimator_attitude_sub.unregisterCallback();
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_instance[_selected_instance].estimator_status_sub.unregisterCallback();
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PrintInstanceChange(_selected_instance, ekf_instance);
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}
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_instance[ekf_instance].estimator_attitude_sub.registerCallback();
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_instance[ekf_instance].estimator_status_sub.registerCallback();
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_selected_instance = ekf_instance;
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_instance_changed_count++;
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_last_instance_change = sensor_selection.timestamp;
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_instance[ekf_instance].time_last_selected = _last_instance_change;
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// reset all relative test ratios
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for (uint8_t i = 0; i < _available_instances; i++) {
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_instance[i].relative_test_ratio = 0;
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}
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return true;
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}
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return false;
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}
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bool EKF2Selector::UpdateErrorScores()
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{
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// first check imu inconsistencies
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_gyro_fault_detected = false;
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uint32_t faulty_gyro_id = 0;
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_accel_fault_detected = false;
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uint32_t faulty_accel_id = 0;
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if (_sensors_status_imu.updated()) {
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sensors_status_imu_s sensors_status_imu;
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if (_sensors_status_imu.copy(&sensors_status_imu)) {
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const float time_step_s = constrain((sensors_status_imu.timestamp - _last_update_us) * 1e-6f, 0.f, 0.02f);
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_last_update_us = sensors_status_imu.timestamp;
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{
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const float angle_rate_threshold = radians(_param_ekf2_sel_imu_angle_rate.get());
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const float angle_threshold = radians(_param_ekf2_sel_imu_angle.get());
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uint8_t n_gyros = 0;
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uint8_t n_gyro_exceedances = 0;
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float largest_accumulated_gyro_error = 0.0f;
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uint8_t largest_gyro_error_index = 0;
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for (unsigned i = 0; i < IMU_STATUS_SIZE; i++) {
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// check for gyros with excessive difference to mean using accumulated error
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if (sensors_status_imu.gyro_device_ids[i] != 0) {
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n_gyros++;
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_accumulated_gyro_error[i] += (sensors_status_imu.gyro_inconsistency_rad_s[i] - angle_rate_threshold) * time_step_s;
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_accumulated_gyro_error[i] = fmaxf(_accumulated_gyro_error[i], 0.f);
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if (_accumulated_gyro_error[i] > angle_threshold) {
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n_gyro_exceedances++;
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}
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if (_accumulated_gyro_error[i] > largest_accumulated_gyro_error) {
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largest_accumulated_gyro_error = _accumulated_gyro_error[i];
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largest_gyro_error_index = i;
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}
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} else {
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// no sensor
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_accumulated_gyro_error[i] = NAN;
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}
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}
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if (n_gyro_exceedances > 0) {
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if (n_gyros >= 3) {
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// If there are 3 or more sensors, the one with the largest accumulated error is faulty
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_gyro_fault_detected = true;
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faulty_gyro_id = sensors_status_imu.gyro_device_ids[largest_gyro_error_index];
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} else if (n_gyros == 2) {
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// A fault is present, but the faulty sensor identity cannot be determined
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_gyro_fault_detected = true;
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}
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}
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}
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{
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const float accel_threshold = _param_ekf2_sel_imu_accel.get();
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const float velocity_threshold = _param_ekf2_sel_imu_velocity.get();
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uint8_t n_accels = 0;
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uint8_t n_accel_exceedances = 0;
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float largest_accumulated_accel_error = 0.0f;
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uint8_t largest_accel_error_index = 0;
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for (unsigned i = 0; i < IMU_STATUS_SIZE; i++) {
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// check for accelerometers with excessive difference to mean using accumulated error
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if (sensors_status_imu.accel_device_ids[i] != 0) {
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n_accels++;
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_accumulated_accel_error[i] += (sensors_status_imu.accel_inconsistency_m_s_s[i] - accel_threshold) * time_step_s;
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_accumulated_accel_error[i] = fmaxf(_accumulated_accel_error[i], 0.f);
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if (_accumulated_accel_error[i] > velocity_threshold) {
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n_accel_exceedances++;
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}
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if (_accumulated_accel_error[i] > largest_accumulated_accel_error) {
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largest_accumulated_accel_error = _accumulated_accel_error[i];
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largest_accel_error_index = i;
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}
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} else {
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// no sensor
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_accumulated_accel_error[i] = NAN;
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}
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}
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if (n_accel_exceedances > 0) {
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if (n_accels >= 3) {
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// If there are 3 or more sensors, the one with the largest accumulated error is faulty
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_accel_fault_detected = true;
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faulty_accel_id = sensors_status_imu.accel_device_ids[largest_accel_error_index];
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} else if (n_accels == 2) {
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// A fault is present, but the faulty sensor identity cannot be determined
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_accel_fault_detected = true;
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}
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}
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}
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}
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}
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bool updated = false;
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bool primary_updated = false;
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// default estimator timeout
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const hrt_abstime status_timeout = 50_ms;
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// calculate individual error scores
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for (uint8_t i = 0; i < EKF2_MAX_INSTANCES; i++) {
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const bool prev_healthy = _instance[i].healthy;
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estimator_status_s status;
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if (_instance[i].estimator_status_sub.update(&status)) {
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_instance[i].timestamp_sample_last = status.timestamp_sample;
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_instance[i].accel_device_id = status.accel_device_id;
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_instance[i].gyro_device_id = status.gyro_device_id;
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_instance[i].baro_device_id = status.baro_device_id;
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_instance[i].mag_device_id = status.mag_device_id;
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if ((i + 1) > _available_instances) {
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_available_instances = i + 1;
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updated = true;
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}
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if (i == _selected_instance) {
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primary_updated = true;
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}
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// test ratios are invalid when 0, >= 1 is a failure
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if (!PX4_ISFINITE(status.vel_test_ratio) || (status.vel_test_ratio <= 0.f)) {
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status.vel_test_ratio = 1.f;
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}
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if (!PX4_ISFINITE(status.pos_test_ratio) || (status.pos_test_ratio <= 0.f)) {
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status.pos_test_ratio = 1.f;
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}
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if (!PX4_ISFINITE(status.hgt_test_ratio) || (status.hgt_test_ratio <= 0.f)) {
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status.hgt_test_ratio = 1.f;
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}
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float combined_test_ratio = fmaxf(0.5f * (status.vel_test_ratio + status.pos_test_ratio), status.hgt_test_ratio);
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_instance[i].combined_test_ratio = combined_test_ratio;
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_instance[i].healthy = (status.filter_fault_flags == 0) && (combined_test_ratio > 0.f);
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_instance[i].warning = (combined_test_ratio >= 1.f);
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_instance[i].filter_fault = (status.filter_fault_flags != 0);
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_instance[i].timeout = false;
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if (!_instance[i].warning) {
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_instance[i].time_last_no_warning = status.timestamp_sample;
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}
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if (!PX4_ISFINITE(_instance[i].relative_test_ratio)) {
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_instance[i].relative_test_ratio = 0;
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}
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} else if (!_instance[i].timeout && (hrt_elapsed_time(&_instance[i].timestamp_sample_last) > status_timeout)) {
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_instance[i].healthy = false;
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_instance[i].timeout = true;
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}
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// if the gyro used by the EKF is faulty, declare the EKF unhealthy without delay
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if (_gyro_fault_detected && (faulty_gyro_id != 0) && (_instance[i].gyro_device_id == faulty_gyro_id)) {
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_instance[i].healthy = false;
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}
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// if the accelerometer used by the EKF is faulty, declare the EKF unhealthy without delay
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if (_accel_fault_detected && (faulty_accel_id != 0) && (_instance[i].accel_device_id == faulty_accel_id)) {
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_instance[i].healthy = false;
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}
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if (prev_healthy != _instance[i].healthy) {
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updated = true;
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_selector_status_publish = true;
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if (!prev_healthy) {
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_instance[i].healthy_count++;
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}
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}
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}
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// update relative test ratios if primary has updated
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if (primary_updated) {
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for (uint8_t i = 0; i < _available_instances; i++) {
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if (i != _selected_instance) {
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const float error_delta = _instance[i].combined_test_ratio - _instance[_selected_instance].combined_test_ratio;
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// reduce error only if its better than the primary instance by at least EKF2_SEL_ERR_RED to prevent unnecessary selection changes
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const float threshold = _gyro_fault_detected ? 0.0f : fmaxf(_param_ekf2_sel_err_red.get(), 0.05f);
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if (error_delta > 0 || error_delta < -threshold) {
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_instance[i].relative_test_ratio += error_delta;
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_instance[i].relative_test_ratio = constrain(_instance[i].relative_test_ratio, -_rel_err_score_lim, _rel_err_score_lim);
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if ((error_delta < -threshold) && (_instance[i].relative_test_ratio < 1.f)) {
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// increase status publication rate if there's movement towards a potential instance change
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_selector_status_publish = true;
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}
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}
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}
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}
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}
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return (primary_updated || updated);
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}
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void EKF2Selector::PublishVehicleAttitude()
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{
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// selected estimator_attitude -> vehicle_attitude
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vehicle_attitude_s attitude;
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if (_instance[_selected_instance].estimator_attitude_sub.update(&attitude)) {
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bool instance_change = false;
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if (_instance[_selected_instance].estimator_attitude_sub.get_instance() != _attitude_instance_prev) {
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_attitude_instance_prev = _instance[_selected_instance].estimator_attitude_sub.get_instance();
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instance_change = true;
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}
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if (_attitude_last.timestamp != 0) {
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if (!instance_change && (attitude.quat_reset_counter == _attitude_last.quat_reset_counter + 1)) {
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// propogate deltas from estimator data while maintaining the overall reset counts
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++_quat_reset_counter;
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_delta_q_reset = Quatf{attitude.delta_q_reset};
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} else if (instance_change || (attitude.quat_reset_counter != _attitude_last.quat_reset_counter)) {
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// on reset compute deltas from last published data
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++_quat_reset_counter;
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_delta_q_reset = (Quatf(attitude.q) * Quatf(_attitude_last.q).inversed()).normalized();
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}
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} else {
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_quat_reset_counter = attitude.quat_reset_counter;
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_delta_q_reset = Quatf{attitude.delta_q_reset};
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}
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bool publish = true;
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// ensure monotonically increasing timestamp_sample through reset, don't publish
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// estimator's attitude for system (vehicle_attitude) if it's stale
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if ((attitude.timestamp_sample <= _attitude_last.timestamp_sample)
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|| (attitude.timestamp_sample < _instance[_selected_instance].timestamp_sample_last)) {
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publish = false;
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}
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// save last primary estimator_attitude as published with original resets
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_attitude_last = attitude;
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if (publish) {
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// republish with total reset count and current timestamp
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attitude.quat_reset_counter = _quat_reset_counter;
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_delta_q_reset.copyTo(attitude.delta_q_reset);
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attitude.timestamp = hrt_absolute_time();
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_vehicle_attitude_pub.publish(attitude);
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}
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}
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}
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void EKF2Selector::PublishVehicleLocalPosition()
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{
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// selected estimator_local_position -> vehicle_local_position
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vehicle_local_position_s local_position;
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if (_instance[_selected_instance].estimator_local_position_sub.update(&local_position)) {
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bool instance_change = false;
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if (_instance[_selected_instance].estimator_local_position_sub.get_instance() != _local_position_instance_prev) {
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_local_position_instance_prev = _instance[_selected_instance].estimator_local_position_sub.get_instance();
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instance_change = true;
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}
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if (_local_position_last.timestamp != 0) {
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// XY reset
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if (!instance_change && (local_position.xy_reset_counter == _local_position_last.xy_reset_counter + 1)) {
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++_xy_reset_counter;
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_delta_xy_reset = Vector2f{local_position.delta_xy};
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} else if (instance_change || (local_position.xy_reset_counter != _local_position_last.xy_reset_counter)) {
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++_xy_reset_counter;
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_delta_xy_reset = Vector2f{local_position.x, local_position.y} - Vector2f{_local_position_last.x, _local_position_last.y};
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}
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// Z reset
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if (!instance_change && (local_position.z_reset_counter == _local_position_last.z_reset_counter + 1)) {
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++_z_reset_counter;
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_delta_z_reset = local_position.delta_z;
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} else if (instance_change || (local_position.z_reset_counter != _local_position_last.z_reset_counter)) {
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++_z_reset_counter;
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_delta_z_reset = local_position.z - _local_position_last.z;
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}
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// VXY reset
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if (!instance_change && (local_position.vxy_reset_counter == _local_position_last.vxy_reset_counter + 1)) {
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++_vxy_reset_counter;
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_delta_vxy_reset = Vector2f{local_position.delta_vxy};
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} else if (instance_change || (local_position.vxy_reset_counter != _local_position_last.vxy_reset_counter)) {
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++_vxy_reset_counter;
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_delta_vxy_reset = Vector2f{local_position.vx, local_position.vy} - Vector2f{_local_position_last.vx, _local_position_last.vy};
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}
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// VZ reset
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if (!instance_change && (local_position.vz_reset_counter == _local_position_last.vz_reset_counter + 1)) {
|
|
++_vz_reset_counter;
|
|
_delta_vz_reset = local_position.delta_vz;
|
|
|
|
} else if (instance_change || (local_position.vz_reset_counter != _local_position_last.vz_reset_counter)) {
|
|
++_vz_reset_counter;
|
|
_delta_vz_reset = local_position.vz - _local_position_last.vz;
|
|
}
|
|
|
|
// heading reset
|
|
if (!instance_change && (local_position.heading_reset_counter == _local_position_last.heading_reset_counter + 1)) {
|
|
++_heading_reset_counter;
|
|
_delta_heading_reset = local_position.delta_heading;
|
|
|
|
} else if (instance_change || (local_position.heading_reset_counter != _local_position_last.heading_reset_counter)) {
|
|
++_heading_reset_counter;
|
|
_delta_heading_reset = matrix::wrap_pi(local_position.heading - _local_position_last.heading);
|
|
}
|
|
|
|
} else {
|
|
_xy_reset_counter = local_position.xy_reset_counter;
|
|
_z_reset_counter = local_position.z_reset_counter;
|
|
_vxy_reset_counter = local_position.vxy_reset_counter;
|
|
_vz_reset_counter = local_position.vz_reset_counter;
|
|
_heading_reset_counter = local_position.heading_reset_counter;
|
|
|
|
_delta_xy_reset = Vector2f{local_position.delta_xy};
|
|
_delta_z_reset = local_position.delta_z;
|
|
_delta_vxy_reset = Vector2f{local_position.delta_vxy};
|
|
_delta_vz_reset = local_position.delta_vz;
|
|
_delta_heading_reset = local_position.delta_heading;
|
|
}
|
|
|
|
bool publish = true;
|
|
|
|
// ensure monotonically increasing timestamp_sample through reset, don't publish
|
|
// estimator's local position for system (vehicle_local_position) if it's stale
|
|
if ((local_position.timestamp_sample <= _local_position_last.timestamp_sample)
|
|
|| (local_position.timestamp_sample < _instance[_selected_instance].timestamp_sample_last)) {
|
|
|
|
publish = false;
|
|
}
|
|
|
|
// save last primary estimator_local_position as published with original resets
|
|
_local_position_last = local_position;
|
|
|
|
if (publish) {
|
|
// republish with total reset count and current timestamp
|
|
local_position.xy_reset_counter = _xy_reset_counter;
|
|
local_position.z_reset_counter = _z_reset_counter;
|
|
local_position.vxy_reset_counter = _vxy_reset_counter;
|
|
local_position.vz_reset_counter = _vz_reset_counter;
|
|
local_position.heading_reset_counter = _heading_reset_counter;
|
|
|
|
_delta_xy_reset.copyTo(local_position.delta_xy);
|
|
local_position.delta_z = _delta_z_reset;
|
|
_delta_vxy_reset.copyTo(local_position.delta_vxy);
|
|
local_position.delta_vz = _delta_vz_reset;
|
|
local_position.delta_heading = _delta_heading_reset;
|
|
|
|
local_position.timestamp = hrt_absolute_time();
|
|
_vehicle_local_position_pub.publish(local_position);
|
|
}
|
|
}
|
|
}
|
|
|
|
void EKF2Selector::PublishVehicleOdometry()
|
|
{
|
|
// selected estimator_odometry -> vehicle_odometry
|
|
vehicle_odometry_s odometry;
|
|
|
|
if (_instance[_selected_instance].estimator_odometry_sub.update(&odometry)) {
|
|
bool publish = true;
|
|
|
|
// ensure monotonically increasing timestamp_sample through reset, don't publish
|
|
// estimator's odometry for system (vehicle_odometry) if it's stale
|
|
if ((odometry.timestamp_sample <= _odometry_last.timestamp_sample)
|
|
|| (odometry.timestamp_sample < _instance[_selected_instance].timestamp_sample_last)) {
|
|
|
|
publish = false;
|
|
}
|
|
|
|
// save last primary estimator_odometry
|
|
_odometry_last = odometry;
|
|
|
|
if (publish) {
|
|
odometry.timestamp = hrt_absolute_time();
|
|
_vehicle_odometry_pub.publish(odometry);
|
|
}
|
|
}
|
|
}
|
|
|
|
void EKF2Selector::PublishVehicleGlobalPosition()
|
|
{
|
|
// selected estimator_global_position -> vehicle_global_position
|
|
vehicle_global_position_s global_position;
|
|
|
|
if (_instance[_selected_instance].estimator_global_position_sub.update(&global_position)) {
|
|
bool instance_change = false;
|
|
|
|
if (_instance[_selected_instance].estimator_global_position_sub.get_instance() != _global_position_instance_prev) {
|
|
_global_position_instance_prev = _instance[_selected_instance].estimator_global_position_sub.get_instance();
|
|
instance_change = true;
|
|
}
|
|
|
|
if (_global_position_last.timestamp != 0) {
|
|
// lat/lon reset
|
|
if (!instance_change && (global_position.lat_lon_reset_counter == _global_position_last.lat_lon_reset_counter + 1)) {
|
|
++_lat_lon_reset_counter;
|
|
|
|
// TODO: delta latitude/longitude
|
|
_delta_lat_reset = global_position.lat - _global_position_last.lat;
|
|
_delta_lon_reset = global_position.lon - _global_position_last.lon;
|
|
|
|
} else if (instance_change || (global_position.lat_lon_reset_counter != _global_position_last.lat_lon_reset_counter)) {
|
|
++_lat_lon_reset_counter;
|
|
|
|
_delta_lat_reset = global_position.lat - _global_position_last.lat;
|
|
_delta_lon_reset = global_position.lon - _global_position_last.lon;
|
|
}
|
|
|
|
// alt reset
|
|
if (!instance_change && (global_position.alt_reset_counter == _global_position_last.alt_reset_counter + 1)) {
|
|
++_alt_reset_counter;
|
|
_delta_alt_reset = global_position.delta_alt;
|
|
|
|
} else if (instance_change || (global_position.alt_reset_counter != _global_position_last.alt_reset_counter)) {
|
|
++_alt_reset_counter;
|
|
_delta_alt_reset = global_position.delta_alt - _global_position_last.delta_alt;
|
|
}
|
|
|
|
} else {
|
|
_lat_lon_reset_counter = global_position.lat_lon_reset_counter;
|
|
_alt_reset_counter = global_position.alt_reset_counter;
|
|
|
|
_delta_alt_reset = global_position.delta_alt;
|
|
}
|
|
|
|
bool publish = true;
|
|
|
|
// ensure monotonically increasing timestamp_sample through reset, don't publish
|
|
// estimator's global position for system (vehicle_global_position) if it's stale
|
|
if ((global_position.timestamp_sample <= _global_position_last.timestamp_sample)
|
|
|| (global_position.timestamp_sample < _instance[_selected_instance].timestamp_sample_last)) {
|
|
|
|
publish = false;
|
|
}
|
|
|
|
// save last primary estimator_global_position as published with original resets
|
|
_global_position_last = global_position;
|
|
|
|
if (publish) {
|
|
// republish with total reset count and current timestamp
|
|
global_position.lat_lon_reset_counter = _lat_lon_reset_counter;
|
|
global_position.alt_reset_counter = _alt_reset_counter;
|
|
global_position.delta_alt = _delta_alt_reset;
|
|
|
|
global_position.timestamp = hrt_absolute_time();
|
|
_vehicle_global_position_pub.publish(global_position);
|
|
}
|
|
}
|
|
}
|
|
|
|
void EKF2Selector::PublishWindEstimate()
|
|
{
|
|
// selected estimator_wind -> wind
|
|
wind_s wind;
|
|
|
|
if (_instance[_selected_instance].estimator_wind_sub.update(&wind)) {
|
|
bool publish = true;
|
|
|
|
// ensure monotonically increasing timestamp_sample through reset, don't publish
|
|
// estimator's wind for system (wind) if it's stale
|
|
if ((wind.timestamp_sample <= _wind_last.timestamp_sample)
|
|
|| (wind.timestamp_sample < _instance[_selected_instance].timestamp_sample_last)) {
|
|
|
|
publish = false;
|
|
}
|
|
|
|
// save last primary wind
|
|
_wind_last = wind;
|
|
|
|
// publish estimator's wind for system unless it's stale
|
|
if (publish) {
|
|
// republish with current timestamp
|
|
wind.timestamp = hrt_absolute_time();
|
|
_wind_pub.publish(wind);
|
|
}
|
|
}
|
|
}
|
|
|
|
void EKF2Selector::Run()
|
|
{
|
|
// re-schedule as backup timeout
|
|
ScheduleDelayed(FILTER_UPDATE_PERIOD);
|
|
|
|
// check for parameter updates
|
|
if (_parameter_update_sub.updated()) {
|
|
// clear update
|
|
parameter_update_s pupdate;
|
|
_parameter_update_sub.copy(&pupdate);
|
|
|
|
// update parameters from storage
|
|
updateParams();
|
|
}
|
|
|
|
// update combined test ratio for all estimators
|
|
const bool updated = UpdateErrorScores();
|
|
|
|
// if no valid instance then force select first instance with valid IMU
|
|
if (_selected_instance == INVALID_INSTANCE) {
|
|
for (uint8_t i = 0; i < EKF2_MAX_INSTANCES; i++) {
|
|
if ((_instance[i].accel_device_id != 0)
|
|
&& (_instance[i].gyro_device_id != 0)) {
|
|
|
|
if (SelectInstance(i)) {
|
|
break;
|
|
}
|
|
}
|
|
}
|
|
|
|
// if still invalid return early and check again on next scheduled run
|
|
if (_selected_instance == INVALID_INSTANCE) {
|
|
return;
|
|
}
|
|
}
|
|
|
|
if (updated) {
|
|
const uint8_t available_instances_prev = _available_instances;
|
|
const uint8_t selected_instance_prev = _selected_instance;
|
|
const uint32_t instance_changed_count_prev = _instance_changed_count;
|
|
const hrt_abstime last_instance_change_prev = _last_instance_change;
|
|
|
|
bool lower_error_available = false;
|
|
float alternative_error = 0.f; // looking for instances that have error lower than the current primary
|
|
float best_test_ratio = FLT_MAX;
|
|
|
|
uint8_t best_ekf = _selected_instance;
|
|
uint8_t best_ekf_alternate = INVALID_INSTANCE;
|
|
uint8_t best_ekf_different_imu = INVALID_INSTANCE;
|
|
|
|
// loop through all available instances to find if an alternative is available
|
|
for (int i = 0; i < _available_instances; i++) {
|
|
// Use an alternative instance if -
|
|
// (healthy and has updated recently)
|
|
// AND
|
|
// (has relative error less than selected instance and has not been the selected instance for at least 10 seconds
|
|
// OR
|
|
// selected instance has stopped updating
|
|
if (_instance[i].healthy && (i != _selected_instance)) {
|
|
const float test_ratio = _instance[i].combined_test_ratio;
|
|
const float relative_error = _instance[i].relative_test_ratio;
|
|
|
|
if (relative_error < alternative_error) {
|
|
best_ekf_alternate = i;
|
|
alternative_error = relative_error;
|
|
|
|
// relative error less than selected instance and has not been the selected instance for at least 10 seconds
|
|
if ((relative_error <= -_rel_err_thresh) && hrt_elapsed_time(&_instance[i].time_last_selected) > 10_s) {
|
|
lower_error_available = true;
|
|
}
|
|
}
|
|
|
|
if ((test_ratio > 0) && (test_ratio < best_test_ratio)) {
|
|
best_ekf = i;
|
|
best_test_ratio = test_ratio;
|
|
|
|
// also check next best available ekf using a different IMU
|
|
if (_instance[i].accel_device_id != _instance[_selected_instance].accel_device_id) {
|
|
best_ekf_different_imu = i;
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
if (!_instance[_selected_instance].healthy) {
|
|
// prefer the best healthy instance using a different IMU
|
|
if (!SelectInstance(best_ekf_different_imu)) {
|
|
// otherwise switch to the healthy instance with best overall test ratio
|
|
SelectInstance(best_ekf);
|
|
}
|
|
|
|
} else if (lower_error_available
|
|
&& ((hrt_elapsed_time(&_last_instance_change) > 10_s)
|
|
|| (_instance[_selected_instance].warning
|
|
&& (hrt_elapsed_time(&_instance[_selected_instance].time_last_no_warning) > 1_s)))) {
|
|
|
|
// if this instance has a significantly lower relative error to the active primary, we consider it as a
|
|
// better instance and would like to switch to it even if the current primary is healthy
|
|
SelectInstance(best_ekf_alternate);
|
|
|
|
} else if (_request_instance.load() != INVALID_INSTANCE) {
|
|
|
|
const uint8_t new_instance = _request_instance.load();
|
|
|
|
// attempt to switch to user manually selected instance
|
|
if (!SelectInstance(new_instance)) {
|
|
PX4_ERR("unable to switch to user selected instance %d", new_instance);
|
|
}
|
|
|
|
// reset
|
|
_request_instance.store(INVALID_INSTANCE);
|
|
}
|
|
|
|
// publish selector status at ~1 Hz or immediately on any change
|
|
if (_selector_status_publish || (hrt_elapsed_time(&_last_status_publish) > 1_s)
|
|
|| (available_instances_prev != _available_instances)
|
|
|| (selected_instance_prev != _selected_instance)
|
|
|| (instance_changed_count_prev != _instance_changed_count)
|
|
|| (last_instance_change_prev != _last_instance_change)
|
|
|| _accel_fault_detected || _gyro_fault_detected) {
|
|
|
|
PublishEstimatorSelectorStatus();
|
|
_selector_status_publish = false;
|
|
}
|
|
}
|
|
|
|
// republish selected estimator data for system
|
|
PublishVehicleAttitude();
|
|
PublishVehicleLocalPosition();
|
|
PublishVehicleGlobalPosition();
|
|
PublishVehicleOdometry();
|
|
PublishWindEstimate();
|
|
}
|
|
|
|
void EKF2Selector::PublishEstimatorSelectorStatus()
|
|
{
|
|
estimator_selector_status_s selector_status{};
|
|
selector_status.primary_instance = _selected_instance;
|
|
selector_status.instances_available = _available_instances;
|
|
selector_status.instance_changed_count = _instance_changed_count;
|
|
selector_status.last_instance_change = _last_instance_change;
|
|
selector_status.accel_device_id = _instance[_selected_instance].accel_device_id;
|
|
selector_status.baro_device_id = _instance[_selected_instance].baro_device_id;
|
|
selector_status.gyro_device_id = _instance[_selected_instance].gyro_device_id;
|
|
selector_status.mag_device_id = _instance[_selected_instance].mag_device_id;
|
|
selector_status.gyro_fault_detected = _gyro_fault_detected;
|
|
selector_status.accel_fault_detected = _accel_fault_detected;
|
|
|
|
for (int i = 0; i < EKF2_MAX_INSTANCES; i++) {
|
|
selector_status.combined_test_ratio[i] = _instance[i].combined_test_ratio;
|
|
selector_status.relative_test_ratio[i] = _instance[i].relative_test_ratio;
|
|
selector_status.healthy[i] = _instance[i].healthy;
|
|
}
|
|
|
|
for (int i = 0; i < IMU_STATUS_SIZE; i++) {
|
|
selector_status.accumulated_gyro_error[i] = _accumulated_gyro_error[i];
|
|
selector_status.accumulated_accel_error[i] = _accumulated_accel_error[i];
|
|
}
|
|
|
|
selector_status.timestamp = hrt_absolute_time();
|
|
_estimator_selector_status_pub.publish(selector_status);
|
|
_last_status_publish = selector_status.timestamp;
|
|
}
|
|
|
|
void EKF2Selector::PrintStatus()
|
|
{
|
|
PX4_INFO("available instances: %" PRIu8, _available_instances);
|
|
|
|
if (_selected_instance == INVALID_INSTANCE) {
|
|
PX4_WARN("selected instance: None");
|
|
}
|
|
|
|
for (int i = 0; i < _available_instances; i++) {
|
|
const EstimatorInstance &inst = _instance[i];
|
|
|
|
PX4_INFO("%" PRIu8 ": ACC: %" PRIu32 ", GYRO: %" PRIu32 ", MAG: %" PRIu32 ", %s, test ratio: %.7f (%.5f) %s",
|
|
inst.instance, inst.accel_device_id, inst.gyro_device_id, inst.mag_device_id,
|
|
inst.healthy ? "healthy" : "unhealthy",
|
|
(double)inst.combined_test_ratio, (double)inst.relative_test_ratio,
|
|
(_selected_instance == i) ? "*" : "");
|
|
}
|
|
}
|