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implemented prediction of states and covariance matrix
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+92
-13
@@ -1,6 +1,6 @@
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/****************************************************************************
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*
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* Copyright (c) 2013 Estimation and Control Library (ECL). All rights reserved.
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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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@@ -33,13 +33,14 @@
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/**
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* @file ekf.cpp
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* Definition of ekf attitude position estimator class.
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* Core functions for ekf attitude and position estimator.
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*
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* @author Roman Bast <bastroman@gmail.com>
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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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#include <drivers/drv_hrt.h>
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Ekf::Ekf()
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{
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@@ -58,10 +59,6 @@ void Ekf::update()
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_filter_initialised = initialiseFilter();
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}
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if (!_filter_initialised) {
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return;
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}
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// prediction
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if (_imu_updated) {
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predictState();
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@@ -70,15 +67,15 @@ void Ekf::update()
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}
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// measurement updates
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if (_mag_buffer.pop_first_older_than(_imu_sample_delayed.time_us, _mag_sample_delayed)) {
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if (_mag_buffer.pop_first_older_than(_imu_sample_delayed.time_us, &_mag_sample_delayed)) {
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fuseMag();
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}
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if (_baro_buffer.pop_first_older_than(_imu_sample_delayed.time_us, _baro_sample_delayed)) {
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if (_baro_buffer.pop_first_older_than(_imu_sample_delayed.time_us, &_baro_sample_delayed)) {
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_fuse_height = true;
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}
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if (_gps_buffer.pop_first_older_than(_imu_sample_delayed.time_us, _gps_sample_delayed)) {
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if (_gps_buffer.pop_first_older_than(_imu_sample_delayed.time_us, &_gps_sample_delayed)) {
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_fuse_pos = true;
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_fuse_vel = true;
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}
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@@ -87,12 +84,94 @@ void Ekf::update()
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fusePosVel();
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}
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if (_range_buffer.pop_first_older_than(_imu_sample_delayed.time_us, _range_sample_delayed)) {
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if (_range_buffer.pop_first_older_than(_imu_sample_delayed.time_us, &_range_sample_delayed)) {
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fuseRange();
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}
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if (_airspeed_buffer.pop_first_older_than(_imu_sample_delayed.time_us, _airspeed_sample_delayed)) {
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if (_airspeed_buffer.pop_first_older_than(_imu_sample_delayed.time_us, &_airspeed_sample_delayed)) {
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fuseAirspeed();
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}
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}
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}
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bool Ekf::initialiseFilter(void)
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{
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_state.ang_error.setZero();
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_state.vel.setZero();
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_state.pos.setZero();
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_state.gyro_bias.setZero();
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_state.gyro_scale(0) = _state.gyro_scale(1) = _state.gyro_scale(2) = 1.0f;
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_state.accel_z_bias = 0.0f;
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_state.mag_I.setZero();
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_state.mag_B.setZero();
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_state.wind_vel.setZero();
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// get initial attitude estimate from accel vector, assuming vehicle is static
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Vector3f accel_init = _imu_down_sampled.delta_vel / _imu_down_sampled.delta_vel_dt;
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float pitch = 0.0f;
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float roll = 0.0f;
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if (accel_init.norm() > 0.001f) {
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accel_init.normalize();
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pitch = asinf(accel_init(0));
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roll = -asinf(accel_init(1) / cosf(pitch));
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}
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matrix::Euler<float> euler_init(0, pitch, roll);
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_state.quat_nominal = Quaternion(euler_init);
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resetVelocity();
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resetPosition();
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initialiseCovariance();
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return true;
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}
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void Ekf::predictState()
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{
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// compute transformation matrix from body to world frame
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matrix::Dcm<float> R(_state.quat_nominal);
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R.transpose();
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// attitude error state prediciton
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Quaternion dq;
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dq.from_axis_angle(_imu_sample_delayed.delta_ang);
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_state.quat_nominal = dq * _state.quat_nominal;
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_state.quat_nominal.normalize();
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Vector3f vel_last = _state.vel;
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// predict velocity states
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_state.vel += R * _imu_sample_delayed.delta_vel;
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_state.vel(2) += 9.81f * _imu_sample_delayed.delta_vel_dt;
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// predict position states via trapezoidal integration of velocity
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_state.pos += (vel_last + _state.vel) * _imu_sample_delayed.delta_vel_dt * 0.5f;
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//matrix::Euler<float> euler(_state.quat_nominal);
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//printf("roll pitch yaw %.5f %.5f %.5f\n", (double)euler(2), (double)euler(1), (double)euler(0));
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}
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void Ekf::fusePosVel()
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{
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}
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void Ekf::fuseMag()
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{
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}
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void Ekf::fuseAirspeed()
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{
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}
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void Ekf::fuseRange()
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{
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}
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