px4-firmware/EKF/estimator_interface.h

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/****************************************************************************
*
* Copyright (c) 2015 Estimation and Control Library (ECL). All rights reserved.
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*
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/**
* @file estimator_interface.h
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* Definition of base class for attitude estimators
*
* @author Roman Bast <bapstroman@gmail.com>
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*
*/
#include <stdint.h>
#include <matrix/matrix/math.hpp>
#include "RingBuffer.h"
#include "geo.h"
#include "common.h"
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using namespace estimator;
class EstimatorInterface
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{
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public:
EstimatorInterface();
~EstimatorInterface();
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virtual bool init(uint64_t timestamp) = 0;
virtual bool update() = 0;
// gets the innovations of velocity and position measurements
// 0-2 vel, 3-5 pos
virtual void get_vel_pos_innov(float vel_pos_innov[6]) = 0;
// gets the innovations of the earth magnetic field measurements
virtual void get_mag_innov(float mag_innov[3]) = 0;
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// gets the innovation of airspeed measurement
virtual void get_airspeed_innov(float *airspeed_innov) = 0;
// gets the innovations of the heading measurement
virtual void get_heading_innov(float *heading_innov) = 0;
// gets the innovation variances of velocity and position measurements
// 0-2 vel, 3-5 pos
virtual void get_vel_pos_innov_var(float vel_pos_innov_var[6]) = 0;
// gets the innovation variances of the earth magnetic field measurements
virtual void get_mag_innov_var(float mag_innov_var[3]) = 0;
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// gets the innovation variance of the airspeed measurement
virtual void get_airspeed_innov_var(float *get_airspeed_innov_var) = 0;
// gets the innovation variance of the heading measurement
virtual void get_heading_innov_var(float *heading_innov_var) = 0;
virtual void get_state_delayed(float *state) = 0;
virtual void get_covariances(float *covariances) = 0;
// get the ekf WGS-84 origin position and height and the system time it was last set
virtual void get_vel_var(Vector3f &vel_var) = 0;
virtual void get_pos_var(Vector3f &pos_var) = 0;
// gets the innovation variance of the flow measurement
virtual void get_flow_innov_var(float flow_innov_var[2]) = 0;
// gets the innovation of the flow measurement
virtual void get_flow_innov(float flow_innov[2]) = 0;
// gets the innovation variance of the HAGL measurement
virtual void get_hagl_innov_var(float *flow_innov_var) = 0;
// gets the innovation of the HAGL measurement
virtual void get_hagl_innov(float *flow_innov_var) = 0;
// get the ekf WGS-84 origin positoin and height and the system time it was last set
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virtual void get_ekf_origin(uint64_t *origin_time, map_projection_reference_s *origin_pos, float *origin_alt) = 0;
// get the 1-sigma horizontal and vertical position uncertainty of the ekf WGS-84 position
virtual void get_ekf_accuracy(float *ekf_eph, float *ekf_epv, bool *dead_reckoning) = 0;
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// ask estimator for sensor data collection decision and do any preprocessing if required, returns true if not defined
virtual bool collect_gps(uint64_t time_usec, struct gps_message *gps) { return true; }
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virtual bool collect_imu(imuSample &imu) { return true; }
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virtual bool collect_mag(uint64_t time_usec, float *data) { return true; }
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virtual bool collect_baro(uint64_t time_usec, float *data) { return true; }
virtual bool collect_airspeed(uint64_t time_usec, float *true_airspeed, float *eas2tas) { return true; }
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virtual bool collect_range(uint64_t time_usec, float *data) { return true; }
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virtual bool collect_opticalflow(uint64_t time_usec, flow_message *flow) { return true; }
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// set delta angle imu data
void setIMUData(uint64_t time_usec, uint64_t delta_ang_dt, uint64_t delta_vel_dt, float *delta_ang, float *delta_vel);
// set magnetometer data
void setMagData(uint64_t time_usec, float *data);
//void setMagData(uint64_t time_usec, struct magSample *mag);
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// set gps data
void setGpsData(uint64_t time_usec, struct gps_message *gps);
// set baro data
void setBaroData(uint64_t time_usec, float *data);
// set airspeed data
void setAirspeedData(uint64_t time_usec, float *true_airspeed, float *eas2tas);
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// set range data
void setRangeData(uint64_t time_usec, float *data);
// set optical flow data
void setOpticalFlowData(uint64_t time_usec, flow_message *flow);
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// return a address to the parameters struct
// in order to give access to the application
parameters *getParamHandle() {return &_params;}
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// set vehicle arm status data
void set_arm_status(bool data) { _vehicle_armed = data; }
// set vehicle landed status data
void set_in_air_status(bool in_air) {_in_air = in_air;}
// return true if the global position estimate is valid
virtual bool global_position_is_valid() = 0;
// return true if the estimate is valid
// return the estimated terrain vertical position relative to the NED origin
virtual bool get_terrain_vert_pos(float *ret) = 0;
// return true if the local position estimate is valid
bool local_position_is_valid();
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void copy_quaternion(float *quat)
{
for (unsigned i = 0; i < 4; i++) {
quat[i] = _output_new.quat_nominal(i);
}
}
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// get the velocity of the body frame origin in local NED earth frame
void get_velocity(float *vel)
{
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// calculate the average angular rate across the last IMU update
Vector3f ang_rate = _imu_sample_new.delta_ang * (1.0f/_imu_sample_new.delta_ang_dt);
// calculate the velocity of the relative to the body origin
// Note % operator has been overloaded to performa cross product
Vector3f vel_imu_rel_body = cross_product(ang_rate , _params.imu_pos_body);
// rotate the relative velocty into earth frame and subtract from the EKF velocity
// (which is at the IMU) to get velocity of the body origin
Vector3f vel_earth = _output_new.vel - _R_to_earth_now * vel_imu_rel_body;
// copy to output
for (unsigned i = 0; i < 3; i++) {
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vel[i] = vel_earth(i);
}
}
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// get the position of the body frame origin in local NED earth frame
void get_position(float *pos)
{
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// rotate the position of the IMU relative to the boy origin into earth frame
Vector3f pos_offset_earth = _R_to_earth_now * _params.imu_pos_body;
// subtract from the EKF position (which is at the IMU) to get position at the body origin
for (unsigned i = 0; i < 3; i++) {
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pos[i] = _output_new.pos(i) - pos_offset_earth(i);
}
}
void copy_timestamp(uint64_t *time_us)
{
*time_us = _time_last_imu;
}
// Copy the magnetic declination that we wish to save to the EKF2_MAG_DECL parameter for the next startup
void copy_mag_decl_deg(float *val)
{
*val = _mag_declination_to_save_deg;
}
virtual void get_accel_bias(float bias[3]) = 0;
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// get EKF mode status
void get_control_mode(uint16_t *val)
{
*val = _control_status.value;
}
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// get GPS check status
virtual void get_gps_check_status(uint16_t *val) = 0;
// return the amount the local vertical position changed in the last height reset and the time of the reset
virtual void get_vert_pos_reset(float *delta, uint64_t *time_us) = 0;
protected:
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parameters _params; // filter parameters
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static const uint8_t OBS_BUFFER_LENGTH = 10; // defines how many measurement samples we can buffer
static const uint8_t IMU_BUFFER_LENGTH = 30; // defines how many imu samples we can buffer
static const unsigned FILTER_UPDATE_PERRIOD_MS = 10; // ekf prediction period in milliseconds
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float _dt_imu_avg; // average imu update period in s
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imuSample _imu_sample_delayed; // captures the imu sample on the delayed time horizon
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// measurement samples capturing measurements on the delayed time horizon
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magSample _mag_sample_delayed;
baroSample _baro_sample_delayed;
gpsSample _gps_sample_delayed;
rangeSample _range_sample_delayed;
airspeedSample _airspeed_sample_delayed;
flowSample _flow_sample_delayed;
outputSample _output_sample_delayed; // filter output on the delayed time horizon
outputSample _output_new; // filter output on the non-delayed time horizon
imuSample _imu_sample_new; // imu sample capturing the newest imu data
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Matrix3f _R_to_earth_now; // rotation matrix from body to earth frame at current time
uint64_t _imu_ticks; // counter for imu updates
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bool _imu_updated; // true if the ekf should update (completed downsampling process)
bool _initialised; // true if the ekf interface instance (data buffering) is initialized
bool _vehicle_armed; // vehicle arm status used to turn off functionality used on the ground
bool _in_air; // we assume vehicle is in the air, set by the given landing detector
bool _NED_origin_initialised = false;
bool _gps_speed_valid = false;
float _gps_origin_eph = 0.0f; // horizontal position uncertainty of the GPS origin
float _gps_origin_epv = 0.0f; // vertical position uncertainty of the GPS origin
struct map_projection_reference_s _pos_ref = {}; // Contains WGS-84 position latitude and longitude (radians)
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bool _mag_healthy; // computed by mag innovation test
float _airspeed_healthy; // computed by airspeed innovation test
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float _yaw_test_ratio; // yaw innovation consistency check ratio
float _mag_test_ratio[3]; // magnetometer XYZ innovation consistency check ratios
float _vel_pos_test_ratio[6]; // velocity and position innovation consistency check ratios
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float _tas_test_ratio; // tas innovation consistency check ratio
// data buffer instances
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RingBuffer<imuSample> _imu_buffer;
RingBuffer<gpsSample> _gps_buffer;
RingBuffer<magSample> _mag_buffer;
RingBuffer<baroSample> _baro_buffer;
RingBuffer<rangeSample> _range_buffer;
RingBuffer<airspeedSample> _airspeed_buffer;
RingBuffer<flowSample> _flow_buffer;
RingBuffer<outputSample> _output_buffer;
uint64_t _time_last_imu; // timestamp of last imu sample in microseconds
uint64_t _time_last_gps; // timestamp of last gps measurement in microseconds
uint64_t _time_last_mag; // timestamp of last magnetometer measurement in microseconds
uint64_t _time_last_baro; // timestamp of last barometer measurement in microseconds
uint64_t _time_last_range; // timestamp of last range measurement in microseconds
uint64_t _time_last_airspeed; // timestamp of last airspeed measurement in microseconds
uint64_t _time_last_optflow;
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fault_status_t _fault_status;
// allocate data buffers and intialise interface variables
bool initialise_interface(uint64_t timestamp);
// free buffer memory
void unallocate_buffers();
float _mag_declination_gps; // magnetic declination returned by the geo library using the last valid GPS position (rad)
float _mag_declination_to_save_deg; // magnetic declination to save to EKF2_MAG_DECL (deg)
// this is the current status of the filter control modes
filter_control_status_u _control_status;
// this is the previous status of the filter control modes - used to detect mode transitions
filter_control_status_u _control_status_prev;
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// perform a vector cross product
Vector3f cross_product(const Vector3f &vecIn1, const Vector3f &vecIn2);
// calculate the inverse rotation matrix from a quaternion rotation
Matrix3f quat_to_invrotmat(const Quaternion quat);
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};