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https://gitee.com/mirrors_PX4/PX4-Autopilot.git
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- refactor all EKF backend output predictor pieces into new OutputPredictor class - output states are now calculated immediately with new high rate IMU rather than after EKF update - IMU delayed sample is passed as around as control data to avoid storing an extra copy and make the requirement clear
206 lines
7.7 KiB
C++
206 lines
7.7 KiB
C++
/****************************************************************************
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*
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* Copyright (c) 2022 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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/**
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* @file range_height_control.cpp
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* Control functions for ekf range finder height fusion
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*/
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#include "ekf.h"
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void Ekf::controlRangeHeightFusion()
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{
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static constexpr const char *HGT_SRC_NAME = "RNG";
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auto &aid_src = _aid_src_rng_hgt;
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HeightBiasEstimator &bias_est = _rng_hgt_b_est;
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bias_est.predict(_dt_ekf_avg);
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if (_rng_data_ready && _range_sensor.getSampleAddress()) {
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const float measurement = math::max(_range_sensor.getDistBottom(), _params.rng_gnd_clearance);
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const float measurement_var = sq(_params.range_noise) + sq(_params.range_noise_scaler * _range_sensor.getDistBottom());
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const float innov_gate = math::max(_params.range_innov_gate, 1.f);
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const bool measurement_valid = PX4_ISFINITE(measurement) && PX4_ISFINITE(measurement_var);
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// vertical position innovation - baro measurement has opposite sign to earth z axis
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updateVerticalPositionAidSrcStatus(_range_sensor.getSampleAddress()->time_us,
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-(measurement - bias_est.getBias()),
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measurement_var + bias_est.getBiasVar(),
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innov_gate,
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aid_src);
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// update the bias estimator before updating the main filter but after
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// using its current state to compute the vertical position innovation
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if (measurement_valid && _range_sensor.isDataHealthy()) {
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bias_est.setMaxStateNoise(sqrtf(measurement_var));
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bias_est.setProcessNoiseSpectralDensity(_params.rng_hgt_bias_nsd);
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bias_est.fuseBias(measurement - (-_state.pos(2)), measurement_var + P(9, 9));
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}
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// determine if we should use height aiding
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const bool do_conditional_range_aid = (_params.rng_ctrl == RngCtrl::CONDITIONAL) && isConditionalRangeAidSuitable();
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const bool continuing_conditions_passing = ((_params.rng_ctrl == RngCtrl::ENABLED) || do_conditional_range_aid)
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&& measurement_valid
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&& _range_sensor.isDataHealthy();
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const bool starting_conditions_passing = continuing_conditions_passing
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&& isNewestSampleRecent(_time_last_range_buffer_push, 2 * RNG_MAX_INTERVAL)
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&& _range_sensor.isRegularlySendingData();
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if (_control_status.flags.rng_hgt) {
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aid_src.fusion_enabled = true;
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if (continuing_conditions_passing) {
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fuseVerticalPosition(aid_src);
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const bool is_fusion_failing = isTimedOut(aid_src.time_last_fuse, _params.hgt_fusion_timeout_max);
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if (isHeightResetRequired()) {
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// All height sources are failing
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ECL_WARN("%s height fusion reset required, all height sources failing", HGT_SRC_NAME);
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_information_events.flags.reset_hgt_to_rng = true;
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resetVerticalPositionTo(-(measurement - bias_est.getBias()));
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bias_est.setBias(_state.pos(2) + measurement);
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// reset vertical velocity
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resetVerticalVelocityToZero();
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aid_src.time_last_fuse = _time_delayed_us;
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} else if (is_fusion_failing) {
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// Some other height source is still working
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ECL_WARN("stopping %s height fusion, fusion failing", HGT_SRC_NAME);
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stopRngHgtFusion();
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_control_status.flags.rng_fault = true;
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_range_sensor.setFaulty();
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}
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} else {
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ECL_WARN("stopping %s height fusion, continuing conditions failing", HGT_SRC_NAME);
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stopRngHgtFusion();
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}
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} else {
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if (starting_conditions_passing) {
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if ((_params.height_sensor_ref == HeightSensor::RANGE) && (_params.rng_ctrl == RngCtrl::CONDITIONAL)) {
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// Range finder is used while hovering to stabilize the height estimate. Don't reset but use it as height reference.
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ECL_INFO("starting conditional %s height fusion", HGT_SRC_NAME);
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_height_sensor_ref = HeightSensor::RANGE;
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bias_est.setBias(_state.pos(2) + measurement);
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} else if ((_params.height_sensor_ref == HeightSensor::RANGE) && (_params.rng_ctrl != RngCtrl::CONDITIONAL)) {
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// Range finder is the primary height source, the ground is now the datum used
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// to compute the local vertical position
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ECL_INFO("starting %s height fusion, resetting height", HGT_SRC_NAME);
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_height_sensor_ref = HeightSensor::RANGE;
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_information_events.flags.reset_hgt_to_rng = true;
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resetVerticalPositionTo(-measurement, measurement_var);
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bias_est.reset();
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} else {
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ECL_INFO("starting %s height fusion", HGT_SRC_NAME);
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bias_est.setBias(_state.pos(2) + measurement);
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}
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aid_src.time_last_fuse = _time_delayed_us;
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bias_est.setFusionActive();
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_control_status.flags.rng_hgt = true;
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}
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}
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} else if (_control_status.flags.rng_hgt
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&& !isNewestSampleRecent(_time_last_range_buffer_push, 2 * RNG_MAX_INTERVAL)) {
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// No data anymore. Stop until it comes back.
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ECL_WARN("stopping %s height fusion, no data", HGT_SRC_NAME);
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stopRngHgtFusion();
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}
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}
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bool Ekf::isConditionalRangeAidSuitable()
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{
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if (_control_status.flags.in_air
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&& _range_sensor.isHealthy()
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&& isTerrainEstimateValid()) {
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// check if we can use range finder measurements to estimate height, use hysteresis to avoid rapid switching
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// Note that the 0.7 coefficients and the innovation check are arbitrary values but work well in practice
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float range_hagl_max = _params.max_hagl_for_range_aid;
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float max_vel_xy = _params.max_vel_for_range_aid;
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const float hagl_test_ratio = (_hagl_innov * _hagl_innov / (sq(_params.range_aid_innov_gate) * _hagl_innov_var));
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bool is_hagl_stable = (hagl_test_ratio < 1.f);
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if (!_control_status.flags.rng_hgt) {
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range_hagl_max = 0.7f * _params.max_hagl_for_range_aid;
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max_vel_xy = 0.7f * _params.max_vel_for_range_aid;
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is_hagl_stable = (hagl_test_ratio < 0.01f);
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}
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const float range_hagl = _terrain_vpos - _state.pos(2);
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const bool is_in_range = (range_hagl < range_hagl_max);
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bool is_below_max_speed = true;
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if (isHorizontalAidingActive()) {
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is_below_max_speed = !_state.vel.xy().longerThan(max_vel_xy);
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}
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return is_in_range && is_hagl_stable && is_below_max_speed;
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}
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return false;
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}
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void Ekf::stopRngHgtFusion()
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{
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if (_control_status.flags.rng_hgt) {
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if (_height_sensor_ref == HeightSensor::RANGE) {
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_height_sensor_ref = HeightSensor::UNKNOWN;
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}
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_rng_hgt_b_est.setFusionInactive();
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resetEstimatorAidStatus(_aid_src_rng_hgt);
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_control_status.flags.rng_hgt = false;
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}
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}
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