forked from Archive/PX4-Autopilot
313 lines
9.1 KiB
C++
313 lines
9.1 KiB
C++
/****************************************************************************
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*
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* Copyright (c) 2015 Estimation and Control Library (ECL). 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 ECL 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 ekf_helper.cpp
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* Definition of ekf helper functions.
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*
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* @author Roman Bast <bapstroman@gmail.com>
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*
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*/
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#include "ekf.h"
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#ifdef __PX4_POSIX
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#include <iostream>
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#include <fstream>
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#endif
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#include <iomanip>
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#include <mathlib/mathlib.h>
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// Reset the velocity states. If we have a recent and valid
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// gps measurement then use for velocity initialisation
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void Ekf::resetVelocity()
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{
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// if we have a valid GPS measurement use it to initialise velocity states
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gpsSample gps_newest = _gps_buffer.get_newest();
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if (_time_last_imu - gps_newest.time_us < 400000) {
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_state.vel = gps_newest.vel;
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} else {
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_state.vel.setZero();
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}
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}
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// Reset position states. If we have a recent and valid
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// gps measurement then use for position initialisation
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void Ekf::resetPosition()
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{
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// if we have a fresh GPS measurement, use it to initialise position states and correct the position for the measurement delay
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gpsSample gps_newest = _gps_buffer.get_newest();
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float time_delay = 1e-6f * (float)(_time_last_imu - gps_newest.time_us);
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if (time_delay < 0.4f) {
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_state.pos(0) = gps_newest.pos(0) + gps_newest.vel(0) * time_delay;
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_state.pos(1) = gps_newest.pos(1) + gps_newest.vel(1) * time_delay;
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} else {
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// XXX use the value of the last known position
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}
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}
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// Reset height state using the last baro measurement
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void Ekf::resetHeight()
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{
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// if we have a valid height measurement, use it to initialise the vertical position state
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baroSample baro_newest = _baro_buffer.get_newest();
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if (_time_last_imu - baro_newest.time_us < 200000) {
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_state.pos(2) = _baro_at_alignment - baro_newest.hgt;
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} else {
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// XXX use the value of the last known position
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}
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}
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// Reset heading and magnetic field states
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bool Ekf::resetMagHeading(Vector3f &mag_init)
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{
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// If we don't a tilt estimate then we cannot initialise the yaw
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if (!_control_status.flags.tilt_align) {
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return false;
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}
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// get the roll, pitch, yaw estimates and set the yaw to zero
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matrix::Quaternion<float> q(_state.quat_nominal(0), _state.quat_nominal(1), _state.quat_nominal(2),
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_state.quat_nominal(3));
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matrix::Euler<float> euler_init(q);
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euler_init(2) = 0.0f;
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// rotate the magnetometer measurements into earth axes
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matrix::Dcm<float> R_to_earth_zeroyaw(euler_init);
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Vector3f mag_ef_zeroyaw = R_to_earth_zeroyaw * mag_init;
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euler_init(2) = _mag_declination - atan2f(mag_ef_zeroyaw(1), mag_ef_zeroyaw(0));
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// calculate initial quaternion states
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_state.quat_nominal = Quaternion(euler_init);
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_output_new.quat_nominal = _state.quat_nominal;
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// calculate initial earth magnetic field states
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matrix::Dcm<float> R_to_earth(euler_init);
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_state.mag_I = R_to_earth * mag_init;
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return true;
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}
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// This function forces the covariance matrix to be symmetric
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void Ekf::makeSymmetrical()
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{
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for (unsigned row = 0; row < _k_num_states; row++) {
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for (unsigned column = 0; column < row; column++) {
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float tmp = (P[row][column] + P[column][row]) / 2;
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P[row][column] = tmp;
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P[column][row] = tmp;
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}
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}
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}
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void Ekf::constrainStates()
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{
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for (int i = 0; i < 3; i++) {
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_state.ang_error(i) = math::constrain(_state.ang_error(i), -1.0f, 1.0f);
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}
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for (int i = 0; i < 3; i++) {
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_state.vel(i) = math::constrain(_state.vel(i), -1000.0f, 1000.0f);
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}
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for (int i = 0; i < 3; i++) {
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_state.pos(i) = math::constrain(_state.pos(i), -1.e6f, 1.e6f);
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}
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for (int i = 0; i < 3; i++) {
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_state.gyro_bias(i) = math::constrain(_state.gyro_bias(i), -0.349066f * _dt_imu_avg, 0.349066f * _dt_imu_avg);
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}
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for (int i = 0; i < 3; i++) {
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_state.gyro_scale(i) = math::constrain(_state.gyro_scale(i), 0.95f, 1.05f);
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}
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_state.accel_z_bias = math::constrain(_state.accel_z_bias, -1.0f * _dt_imu_avg, 1.0f * _dt_imu_avg);
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for (int i = 0; i < 3; i++) {
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_state.mag_I(i) = math::constrain(_state.mag_I(i), -1.0f, 1.0f);
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}
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for (int i = 0; i < 3; i++) {
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_state.mag_B(i) = math::constrain(_state.mag_B(i), -0.5f, 0.5f);
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}
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for (int i = 0; i < 2; i++) {
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_state.wind_vel(i) = math::constrain(_state.wind_vel(i), -100.0f, 100.0f);
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}
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}
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// calculate the earth rotation vector
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void Ekf::calcEarthRateNED(Vector3f &omega, double lat_rad) const
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{
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omega(0) = _k_earth_rate * cosf((float)lat_rad);
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omega(1) = 0.0f;
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omega(2) = -_k_earth_rate * sinf((float)lat_rad);
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}
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// gets the innovations of velocity and position measurements
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// 0-2 vel, 3-5 pos
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void Ekf::get_vel_pos_innov(float vel_pos_innov[6])
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{
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memcpy(vel_pos_innov, _vel_pos_innov, sizeof(float) * 6);
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}
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// writes the innovations of the earth magnetic field measurements
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void Ekf::get_mag_innov(float mag_innov[3])
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{
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memcpy(mag_innov, _mag_innov, 3 * sizeof(float));
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}
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// gets the innovations of the heading measurement
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void Ekf::get_heading_innov(float *heading_innov)
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{
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memcpy(heading_innov, &_heading_innov, sizeof(float));
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}
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// gets the innovation variances of velocity and position measurements
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// 0-2 vel, 3-5 pos
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void Ekf::get_vel_pos_innov_var(float vel_pos_innov_var[6])
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{
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memcpy(vel_pos_innov_var, _vel_pos_innov_var, sizeof(float) * 6);
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}
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// gets the innovation variances of the earth magnetic field measurements
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void Ekf::get_mag_innov_var(float mag_innov_var[3])
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{
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memcpy(mag_innov_var, _mag_innov_var, sizeof(float) * 3);
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}
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// gets the innovation variance of the heading measurement
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void Ekf::get_heading_innov_var(float *heading_innov_var)
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{
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memcpy(heading_innov_var, &_heading_innov_var, sizeof(float));
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}
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// get the state vector at the delayed time horizon
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void Ekf::get_state_delayed(float *state)
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{
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for (int i = 0; i < 3; i++) {
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state[i] = _state.ang_error(i);
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}
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for (int i = 0; i < 3; i++) {
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state[i + 3] = _state.vel(i);
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}
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for (int i = 0; i < 3; i++) {
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state[i + 6] = _state.pos(i);
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}
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for (int i = 0; i < 3; i++) {
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state[i + 9] = _state.gyro_bias(i);
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}
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for (int i = 0; i < 3; i++) {
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state[i + 12] = _state.gyro_scale(i);
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}
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state[15] = _state.accel_z_bias;
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for (int i = 0; i < 3; i++) {
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state[i + 16] = _state.mag_I(i);
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}
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for (int i = 0; i < 3; i++) {
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state[i + 19] = _state.mag_B(i);
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}
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for (int i = 0; i < 2; i++) {
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state[i + 22] = _state.wind_vel(i);
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}
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}
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// get the diagonal elements of the covariance matrix
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void Ekf::get_covariances(float *covariances)
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{
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for (unsigned i = 0; i < _k_num_states; i++) {
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covariances[i] = P[i][i];
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}
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}
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// get the position and height of the ekf origin in WGS-84 coordinates and time the origin was set
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void Ekf::get_ekf_origin(uint64_t *origin_time, map_projection_reference_s *origin_pos, float *origin_alt)
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{
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memcpy(origin_time, &_last_gps_origin_time_us, sizeof(uint64_t));
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memcpy(origin_pos, &_pos_ref, sizeof(map_projection_reference_s));
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memcpy(origin_alt, &_gps_alt_ref, sizeof(float));
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}
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// fuse measurement
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void Ekf::fuse(float *K, float innovation)
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{
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for (unsigned i = 0; i < 3; i++) {
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_state.ang_error(i) = _state.ang_error(i) - K[i] * innovation;
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}
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for (unsigned i = 0; i < 3; i++) {
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_state.vel(i) = _state.vel(i) - K[i + 3] * innovation;
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}
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for (unsigned i = 0; i < 3; i++) {
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_state.pos(i) = _state.pos(i) - K[i + 6] * innovation;
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}
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for (unsigned i = 0; i < 3; i++) {
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_state.gyro_bias(i) = _state.gyro_bias(i) - K[i + 9] * innovation;
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}
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for (unsigned i = 0; i < 3; i++) {
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_state.gyro_scale(i) = _state.gyro_scale(i) - K[i + 12] * innovation;
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}
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_state.accel_z_bias -= K[15] * innovation;
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for (unsigned i = 0; i < 3; i++) {
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_state.mag_I(i) = _state.mag_I(i) - K[i + 16] * innovation;
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}
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for (unsigned i = 0; i < 3; i++) {
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_state.mag_B(i) = _state.mag_B(i) - K[i + 19] * innovation;
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}
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for (unsigned i = 0; i < 2; i++) {
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_state.wind_vel(i) = _state.wind_vel(i) - K[i + 22] * innovation;
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}
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}
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