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347 lines
8.9 KiB
347 lines
8.9 KiB
/**************************************************************************** |
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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.cpp |
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* Core functions for ekf attitude and position estimator. |
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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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#include <drivers/drv_hrt.h> |
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Ekf::Ekf(): |
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_filter_initialised(false), |
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_earth_rate_initialised(false), |
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_fuse_height(false), |
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_fuse_pos(false), |
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_fuse_vel(false), |
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_mag_fuse_index(0), |
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_time_last_fake_gps(0) |
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{ |
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_earth_rate_NED.setZero(); |
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_R_prev = matrix::Dcm<float>(); |
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_delta_angle_corr.setZero(); |
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_delta_vel_corr.setZero(); |
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_vel_corr.setZero(); |
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} |
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Ekf::~Ekf() |
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{ |
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} |
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bool Ekf::update() |
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{ |
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bool ret = false; // indicates if there has been an update |
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if (!_filter_initialised) { |
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_filter_initialised = initialiseFilter(); |
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if (!_filter_initialised) { |
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return false; |
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} |
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} |
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//printStates(); |
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//printStatesFast(); |
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// prediction |
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if (_imu_updated) { |
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ret = true; |
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predictState(); |
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predictCovariance(); |
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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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fuseHeading(); |
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//fuseMag(_mag_fuse_index); |
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//_mag_fuse_index = (_mag_fuse_index + 1) % 3; |
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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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_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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_fuse_pos = true; |
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_fuse_vel = true; |
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} else if (_time_last_imu - _time_last_gps > 2000000 && _time_last_imu - _time_last_fake_gps > 70000) { |
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_fuse_vel = true; |
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_gps_sample_delayed.vel.setZero(); |
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} |
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if (_fuse_height || _fuse_pos || _fuse_vel) { |
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fuseVelPosHeight(); |
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_fuse_vel = _fuse_pos = _fuse_height = false; |
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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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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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fuseAirspeed(); |
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} |
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calculateOutputStates(); |
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return ret; |
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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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magSample mag_init = _mag_buffer.get_newest(); |
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if (mag_init.time_us == 0) { |
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return false; |
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} |
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float yaw_init = atan2f(mag_init.mag(1), mag_init.mag(0)); |
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matrix::Euler<float> euler_init(roll, pitch, yaw_init); |
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_state.quat_nominal = Quaternion(euler_init); |
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matrix::Dcm<float> R_to_earth(euler_init); |
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_state.mag_I = R_to_earth * mag_init.mag; |
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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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if (!_earth_rate_initialised) { |
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if (_gps_initialised) { |
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calcEarthRateNED(_earth_rate_NED, _posRef.lat_rad ); |
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_earth_rate_initialised = true; |
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} |
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} |
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// attitude error state prediciton |
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matrix::Dcm<float> R_to_earth(_state.quat_nominal); // transformation matrix from body to world frame |
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Vector3f corrected_delta_ang = _imu_sample_delayed.delta_ang - _R_prev * _earth_rate_NED * _imu_sample_delayed.delta_ang_dt; |
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Quaternion dq; // delta quaternion since last update |
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dq.from_axis_angle(corrected_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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_R_prev = R_to_earth.transpose(); |
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Vector3f vel_last = _state.vel; |
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// predict velocity states |
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_state.vel += R_to_earth * _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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constrainStates(); |
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} |
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void Ekf::calculateOutputStates() |
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{ |
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imuSample imu_new = _imu_sample_new; |
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Vector3f delta_angle; |
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delta_angle(0) = imu_new.delta_ang(0) * _state.gyro_scale(0); |
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delta_angle(1) = imu_new.delta_ang(1) * _state.gyro_scale(1); |
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delta_angle(2) = imu_new.delta_ang(2) * _state.gyro_scale(2); |
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delta_angle -= _state.gyro_bias; |
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Vector3f delta_vel = imu_new.delta_vel; |
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delta_vel(2) -= _state.accel_z_bias; |
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delta_angle += _delta_angle_corr; |
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Quaternion dq; |
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dq.from_axis_angle(delta_angle); |
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_output_new.time_us = imu_new.time_us; |
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_output_new.quat_nominal = dq * _output_new.quat_nominal; |
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_output_new.quat_nominal.normalize(); |
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matrix::Dcm<float> R_to_earth(_output_new.quat_nominal); |
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Vector3f delta_vel_NED = R_to_earth * delta_vel + _delta_vel_corr; |
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delta_vel_NED(2) += 9.81f * imu_new.delta_vel_dt; |
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Vector3f vel_last = _output_new.vel; |
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_output_new.vel += delta_vel_NED; |
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_output_new.pos += (_output_new.vel + vel_last) * (imu_new.delta_vel_dt * 0.5f) + _vel_corr * imu_new.delta_vel_dt; |
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if (_imu_updated) { |
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_output_buffer.push(_output_new); |
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_imu_updated = false; |
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} |
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if (!_output_buffer.pop_first_older_than(_imu_sample_delayed.time_us, &_output_sample_delayed)) |
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{ |
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return; |
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} |
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Quaternion quat_inv = _state.quat_nominal.inversed(); |
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Quaternion q_error = _output_sample_delayed.quat_nominal * quat_inv; |
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q_error.normalize(); |
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Vector3f delta_ang_error; |
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float scalar; |
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if (q_error(0) >= 0.0f) { |
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scalar = -2.0f; |
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} else { |
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scalar = 2.0f; |
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} |
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delta_ang_error(0) = scalar * q_error(1); |
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delta_ang_error(1) = scalar * q_error(2); |
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delta_ang_error(2) = scalar * q_error(3); |
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_delta_angle_corr = delta_ang_error * imu_new.delta_ang_dt; |
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_delta_vel_corr = (_state.vel - _output_sample_delayed.vel) * imu_new.delta_vel_dt; |
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_vel_corr = (_state.pos - _output_sample_delayed.pos); |
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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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void Ekf::printStates() |
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{ |
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static int counter = 0; |
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if (counter % 50 == 0) { |
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printf("quaternion\n"); |
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for(int i = 0; i < 4; i++) { |
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printf("quat %i %.5f\n", i, (double)_state.quat_nominal(i)); |
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} |
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matrix::Euler<float> euler(_state.quat_nominal); |
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printf("yaw pitch roll %.5f %.5f %.5f\n", (double)euler(2), (double)euler(1), (double)euler(0)); |
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printf("vel\n"); |
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for(int i = 0; i < 3; i++) { |
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printf("v %i %.5f\n", i, (double)_state.vel(i)); |
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} |
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printf("pos\n"); |
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for(int i = 0; i < 3; i++) { |
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printf("p %i %.5f\n", i, (double)_state.pos(i)); |
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} |
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printf("gyro_scale\n"); |
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for(int i = 0; i < 3; i++) { |
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printf("gs %i %.5f\n", i, (double)_state.gyro_scale(i)); |
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} |
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printf("mag earth\n"); |
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for(int i = 0; i < 3; i++) { |
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printf("mI %i %.5f\n", i, (double)_state.mag_I(i)); |
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} |
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printf("mag bias\n"); |
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for(int i = 0; i < 3; i++) { |
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printf("mB %i %.5f\n", i, (double)_state.mag_B(i)); |
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} |
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counter = 0; |
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} |
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counter++; |
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} |
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void Ekf::printStatesFast() |
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{ |
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static int counter_fast = 0; |
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if (counter_fast % 50 == 0) { |
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printf("quaternion\n"); |
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for(int i = 0; i < 4; i++) { |
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printf("quat %i %.5f\n", i, (double)_output_new.quat_nominal(i)); |
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} |
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printf("vel\n"); |
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for(int i = 0; i < 3; i++) { |
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printf("v %i %.5f\n", i, (double)_output_new.vel(i)); |
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} |
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printf("pos\n"); |
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for(int i = 0; i < 3; i++) { |
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printf("p %i %.5f\n", i, (double)_output_new.pos(i)); |
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} |
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counter_fast = 0; |
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} |
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counter_fast++; |
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}
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