forked from Archive/PX4-Autopilot
206 lines
6.9 KiB
C++
206 lines
6.9 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.h
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* Class for 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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* @author Paul Riseborough <p_riseborough@live.com.au>
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*
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*/
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#include "estimator_interface.h"
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#define sq(_arg) powf(_arg, 2.0f)
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class Ekf : public EstimatorInterface
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{
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public:
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Ekf();
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~Ekf();
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bool init(uint64_t timestamp);
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bool update();
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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 get_vel_pos_innov(float vel_pos_innov[6]);
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// gets the innovations of the earth magnetic field measurements
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void get_mag_innov(float mag_innov[3]);
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// gets the innovations of the heading measurement
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void get_heading_innov(float *heading_innov);
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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 get_vel_pos_innov_var(float vel_pos_innov_var[6]);
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// gets the innovation variances of the earth magnetic field measurements
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void get_mag_innov_var(float mag_innov_var[3]);
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// gets the innovation variance of the heading measurement
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void get_heading_innov_var(float *heading_innov_var);
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// get the state vector at the delayed time horizon
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void get_state_delayed(float *state);
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// get the diagonal elements of the covariance matrix
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void get_covariances(float *covariances);
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// ask estimator for sensor data collection decision and do any preprocessing if required, returns true if not defined
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bool collect_gps(uint64_t time_usec, struct gps_message *gps);
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bool collect_imu(imuSample &imu);
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filter_control_status_u _control_status = {};
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// get the ekf WGS-84 origin positoin and height and the system time it was last set
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void get_ekf_origin(uint64_t *origin_time, map_projection_reference_s *origin_pos, float *origin_alt);
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private:
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static const uint8_t _k_num_states = 24;
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static constexpr float _k_earth_rate = 0.000072921f;
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stateSample _state;
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bool _filter_initialised;
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bool _earth_rate_initialised;
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bool _fuse_height; // baro height data should be fused
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bool _fuse_pos; // gps position data should be fused
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bool _fuse_hor_vel; // gps horizontal velocity measurement should be fused
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bool _fuse_vert_vel; // gps vertical velocity measurement should be fused
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uint64_t _time_last_fake_gps;
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uint64_t _time_last_pos_fuse; // time the last fusion of horizotal position measurements was performed (usec)
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uint64_t _time_last_vel_fuse; // time the last fusion of velocity measurements was performed (usec)
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uint64_t _time_last_hgt_fuse; // time the last fusion of height measurements was performed (usec)
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uint64_t _time_last_of_fuse; // time the last fusion of optical flow measurements were performed (usec)
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Vector2f _last_known_posNE; // last known local NE position vector (m)
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float _last_disarmed_posD; // vertical position recorded at arming (m)
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Vector3f _earth_rate_NED;
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matrix::Dcm<float> _R_prev;
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float P[_k_num_states][_k_num_states]; // state covariance matrix
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float _vel_pos_innov[6]; // innovations: 0-2 vel, 3-5 pos
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float _mag_innov[3]; // earth magnetic field innovations
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float _heading_innov; // heading measurement innovation
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float _vel_pos_innov_var[6]; // innovation variances: 0-2 vel, 3-5 pos
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float _mag_innov_var[3]; // earth magnetic field innovation variance
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float _heading_innov_var; // heading measurement innovation variance
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// complementary filter states
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Vector3f _delta_angle_corr;
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Vector3f _delta_vel_corr;
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Vector3f _vel_corr;
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imuSample _imu_down_sampled;
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Quaternion _q_down_sampled;
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// variables used for the GPS quality checks
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float _gpsDriftVelN = 0.0f; // GPS north position derivative (m/s)
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float _gpsDriftVelE = 0.0f; // GPS east position derivative (m/s)
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float _gps_drift_velD = 0.0f; // GPS down position derivative (m/s)
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float _gps_velD_diff_filt = 0.0f; // GPS filtered Down velocity (m/s)
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float _gps_velN_filt = 0.0f; // GPS filtered North velocity (m/s)
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float _gps_velE_filt = 0.0f; // GPS filtered East velocity (m/s)
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uint64_t _last_gps_fail_us = 0; // last system time in usec that the GPS failed it's checks
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// Variables used to publish the WGS-84 location of the EKF local NED origin
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uint64_t _last_gps_origin_time_us = 0; // time the origin was last set (uSec)
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float _gps_alt_ref = 0.0f; // WGS-84 height (m)
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gps_check_fail_status_u _gps_check_fail_status;
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void calculateOutputStates();
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bool initialiseFilter(void);
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void initialiseCovariance();
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void predictState();
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void predictCovariance();
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void fuseMag();
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void fuseHeading();
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void fuseAirspeed();
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void fuseRange();
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void fuseVelPosHeight();
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void resetVelocity();
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void resetPosition();
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void makeCovSymetrical();
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void limitCov();
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void printCovToFile(char const *filename);
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void assertCovNiceness();
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void makeSymmetrical();
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void constrainStates();
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void fuse(float *K, float innovation);
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void printStates();
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void printStatesFast();
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void calcEarthRateNED(Vector3f &omega, double lat_rad) const;
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// return true id the GPS quality is good enough to set an origin and start aiding
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bool gps_is_good(struct gps_message *gps);
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// Control the filter fusion modes
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void controlFusionModes();
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// Determine if we are airborne or motors are armed
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void calculateVehicleStatus();
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};
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