ardupilot/libraries/AP_DCM/AP_DCM.cpp

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/*
APM_DCM_FW.cpp - DCM AHRS Library, fixed wing version, for Ardupilot Mega
Code by Doug Weibel, Jordi Mu<EFBFBD>oz and Jose Julio. DIYDrones.com
This library works with the ArduPilot Mega and "Oilpan"
This library is free software; you can redistribute it and/or
modify it under the terms of the GNU Lesser General Public
License as published by the Free Software Foundation; either
version 2.1 of the License, or (at your option) any later version.
Methods:
update_DCM(_G_Dt) : Updates the AHRS by integrating the rotation matrix over time _G_Dt using the IMU object data
get_gyro() : Returns gyro vector corrected for bias
get_accel() : Returns accelerometer vector
get_dcm_matrix() : Returns dcm matrix
*/
#include <AP_DCM.h>
#define OUTPUTMODE 1 // This is just used for debugging, remove later
#define ToRad(x) (x*0.01745329252) // *pi/180
#define ToDeg(x) (x*57.2957795131) // *180/pi
//#define Kp_ROLLPITCH 0.05967 // .0014 * 418/9.81 Pitch&Roll Drift Correction Proportional Gain
//#define Ki_ROLLPITCH 0.00001278 // 0.0000003 * 418/9.81 Pitch&Roll Drift Correction Integrator Gain
//#define Ki_ROLLPITCH 0.0 // 0.0000003 * 418/9.81 Pitch&Roll Drift Correction Integrator Gain
//#define Kp_YAW 0.8 // Yaw Drift Correction Porportional Gain
#define Ki_YAW 0.00004 // Yaw Drift CorrectionIntegrator Gain
#define SPEEDFILT 300 // centimeters/second
#define ADC_CONSTRAINT 900
void
AP_DCM::set_compass(Compass *compass)
{
_compass = compass;
}
/**************************************************/
void
AP_DCM::update_DCM(float _G_Dt)
{
_imu->update();
_gyro_vector = _imu->get_gyro(); // Get current values for IMU sensors
_accel_vector = _imu->get_accel(); // Get current values for IMU sensors
matrix_update(_G_Dt); // Integrate the DCM matrix
normalize(); // Normalize the DCM matrix
drift_correction(); // Perform drift correction
euler_angles(); // Calculate pitch, roll, yaw for stabilization and navigation
}
/**************************************************/
//For Debugging
/*
void
printm(const char *l, Matrix3f &m)
{ Serial.println(" "); Serial.println(l);
Serial.print(m.a.x, 12); Serial.print(" "); Serial.print(m.a.y, 12); Serial.print(" "); Serial.println(m.a.z, 12);
Serial.print(m.b.x, 12); Serial.print(" "); Serial.print(m.b.y, 12); Serial.print(" "); Serial.println(m.b.z, 12);
Serial.print(m.c.x, 12); Serial.print(" "); Serial.print(m.c.y, 12); Serial.print(" "); Serial.println(m.c.z, 12);
Serial.print(*(uint32_t *)&(m.a.x), HEX); Serial.print(" "); Serial.print(*(uint32_t *)&(m.a.y), HEX); Serial.print(" "); Serial.println(*(uint32_t *)&(m.a.z), HEX);
Serial.print(*(uint32_t *)&(m.b.x), HEX); Serial.print(" "); Serial.print(*(uint32_t *)&(m.b.y), HEX); Serial.print(" "); Serial.println(*(uint32_t *)&(m.b.z), HEX);
Serial.print(*(uint32_t *)&(m.c.x), HEX); Serial.print(" "); Serial.print(*(uint32_t *)&(m.c.y), HEX); Serial.print(" "); Serial.println(*(uint32_t *)&(m.c.z), HEX);
}
*/
/**************************************************/
void
AP_DCM::matrix_update(float _G_Dt)
{
Matrix3f update_matrix;
Matrix3f temp_matrix;
//Record when you saturate any of the gyros.
if((fabs(_gyro_vector.x) >= radians(300)) ||
(fabs(_gyro_vector.y) >= radians(300)) ||
(fabs(_gyro_vector.z) >= radians(300))){
gyro_sat_count++;
}
_omega_integ_corr = _gyro_vector + _omega_I; // Used for _centripetal correction (theoretically better than _omega)
_omega = _omega_integ_corr + _omega_P; // Equation 16, adding proportional and integral correction terms
if(_centripetal){
accel_adjust(); // Remove _centripetal acceleration.
}
#if OUTPUTMODE == 1
update_matrix.a.x = 0;
update_matrix.a.y = -_G_Dt * _omega.z; // -delta Theta z
update_matrix.a.z = _G_Dt * _omega.y; // delta Theta y
update_matrix.b.x = _G_Dt * _omega.z; // delta Theta z
update_matrix.b.y = 0;
update_matrix.b.z = -_G_Dt * _omega.x; // -delta Theta x
update_matrix.c.x = -_G_Dt * _omega.y; // -delta Theta y
update_matrix.c.y = _G_Dt * _omega.x; // delta Theta x
update_matrix.c.z = 0;
#else // Uncorrected data (no drift correction)
update_matrix.a.x = 0;
update_matrix.a.y = -_G_Dt * _gyro_vector.z;
update_matrix.a.z = _G_Dt * _gyro_vector.y;
update_matrix.b.x = _G_Dt * _gyro_vector.z;
update_matrix.b.y = 0;
update_matrix.b.z = -_G_Dt * _gyro_vector.x;
update_matrix.c.x = -_G_Dt * _gyro_vector.y;
update_matrix.c.y = _G_Dt * _gyro_vector.x;
update_matrix.c.z = 0;
#endif
temp_matrix = _dcm_matrix * update_matrix;
_dcm_matrix = _dcm_matrix + temp_matrix; // Equation 17
}
/**************************************************/
void
AP_DCM::accel_adjust(void)
{
Vector3f veloc, temp;
float vel;
veloc.x = _gps->ground_speed / 100; // We are working with acceleration in m/s^2 units
// We are working with a modified version of equation 26 as our IMU object reports acceleration in the positive axis direction as positive
//_accel_vector -= _omega_integ_corr % _veloc; // Equation 26 This line is giving the compiler a problem so we break it up below
temp.x = 0;
temp.y = _omega_integ_corr.z * veloc.x; // only computing the non-zero terms
temp.z = -1.0f * _omega_integ_corr.y * veloc.x; // After looking at the compiler issue lets remove _veloc and simlify
_accel_vector -= temp;
}
/*************************************************
Direction Cosine Matrix IMU: Theory
William Premerlani and Paul Bizard
Numerical errors will gradually reduce the orthogonality conditions expressed by equation 5
to approximations rather than identities. In effect, the axes in the two frames of reference no
longer describe a rigid body. Fortunately, numerical error accumulates very slowly, so it is a
simple matter to stay ahead of it.
We call the process of enforcing the orthogonality conditions <EFBFBD>renormalization<EFBFBD>.
*/
void
AP_DCM::normalize(void)
{
float error = 0;
Vector3f temporary[3];
int problem = 0;
error = _dcm_matrix.a * _dcm_matrix.b; // eq.18
temporary[0] = _dcm_matrix.b;
temporary[1] = _dcm_matrix.a;
temporary[0] = _dcm_matrix.a - (temporary[0] * (0.5f * error)); // eq.19
temporary[1] = _dcm_matrix.b - (temporary[1] * (0.5f * error)); // eq.19
temporary[2] = temporary[0] % temporary[1]; // c= a x b // eq.20
_dcm_matrix.a = renorm(temporary[0], problem);
_dcm_matrix.b = renorm(temporary[1], problem);
_dcm_matrix.c = renorm(temporary[2], problem);
if (problem == 1) { // Our solution is blowing up and we will force back to initial condition. Hope we are not upside down!
_dcm_matrix.a.x = 1.0f;
_dcm_matrix.a.y = 0.0f;
_dcm_matrix.a.z = 0.0f;
_dcm_matrix.b.x = 0.0f;
_dcm_matrix.b.y = 1.0f;
_dcm_matrix.b.z = 0.0f;
_dcm_matrix.c.x = 0.0f;
_dcm_matrix.c.y = 0.0f;
_dcm_matrix.c.z = 1.0f;
}
}
/**************************************************/
Vector3f
AP_DCM::renorm(Vector3f const &a, int &problem)
{
float renorm;
renorm = a * a;
if (renorm < 1.5625f && renorm > 0.64f) { // Check if we are OK to use Taylor expansion
renorm = 0.5 * (3 - renorm); // eq.21
} else if (renorm < 100.0f && renorm > 0.01f) {
renorm = 1.0 / sqrt(renorm);
renorm_sqrt_count++;
} else {
problem = 1;
renorm_blowup_count++;
}
return(a * renorm);
}
/**************************************************/
void
AP_DCM::drift_correction(void)
{
//Compensation the Roll, Pitch and Yaw drift.
//float mag_heading_x;
//float mag_heading_y;
float error_course;
float accel_magnitude;
float accel_weight;
float integrator_magnitude;
//static float scaled_omega_P[3];
//static float scaled_omega_I[3];
static bool in_motion = false;
Matrix3f rot_mat;
//*****Roll and Pitch***************
// Calculate the magnitude of the accelerometer vector
accel_magnitude = _accel_vector.length() / 9.80665f;
// Dynamic weighting of accelerometer info (reliability filter)
// Weight for accelerometer info (<0.5G = 0.0, 1G = 1.0 , >1.5G = 0.0)
accel_weight = constrain(1 - 3 * fabs(1 - accel_magnitude), 0, 1); // upped to (<0.66G = 0.0, 1G = 1.0 , >1.33G = 0.0)
// We monitor the amount that the accelerometer based drift correction is deweighted for performance reporting
_health = constrain(_health+(0.02 * (accel_weight - .5)), 0, 1);
// adjust the ground of reference
_error_roll_pitch = _dcm_matrix.c % _accel_vector; // Equation 27 *** sign changed from prev implementation???
// error_roll_pitch are in Accel m/s^2 units
// Limit max error_roll_pitch to limit max omega_P and omega_I
_error_roll_pitch.x = constrain(_error_roll_pitch.x, -1.17f, 1.17f);
_error_roll_pitch.y = constrain(_error_roll_pitch.y, -1.17f, 1.17f);
_error_roll_pitch.z = constrain(_error_roll_pitch.z, -1.17f, 1.17f);
_omega_P = _error_roll_pitch * (_kp_roll_pitch * accel_weight);
_omega_I += _error_roll_pitch * (_ki_roll_pitch * accel_weight);
//*****YAW***************
if (_compass) {
// We make the gyro YAW drift correction based on compass magnetic heading
error_course = (_dcm_matrix.a.x * _compass->heading_y) - (_dcm_matrix.b.x * _compass->heading_x); // Equation 23, Calculating YAW error
} else {
// Use GPS Ground course to correct yaw gyro drift
if (_gps->ground_speed >= SPEEDFILT) {
_course_over_ground_x = cos(ToRad(_gps->ground_course/100.0));
_course_over_ground_y = sin(ToRad(_gps->ground_course/100.0));
if(in_motion) {
error_course = (_dcm_matrix.a.x * _course_over_ground_y) - (_dcm_matrix.b.x * _course_over_ground_x); // Equation 23, Calculating YAW error
} else {
float cos_psi_err, sin_psi_err;
// This is the case for when we first start moving and reset the DCM so that yaw matches the gps ground course
// This is just to get a reasonable estimate faster
yaw = atan2(_dcm_matrix.b.x, _dcm_matrix.a.x);
cos_psi_err = cos(ToRad(_gps->ground_course/100.0) - yaw);
sin_psi_err = sin(ToRad(_gps->ground_course/100.0) - yaw);
// Rxx = cos psi err, Rxy = - sin psi err, Rxz = 0
// Ryx = sin psi err, Ryy = cos psi err, Ryz = 0
// Rzx = Rzy = 0, Rzz = 1
rot_mat.a.x = cos_psi_err;
rot_mat.a.y = -sin_psi_err;
rot_mat.b.x = sin_psi_err;
rot_mat.b.y = cos_psi_err;
rot_mat.a.z = 0;
rot_mat.b.z = 0;
rot_mat.c.x = 0;
rot_mat.c.y = 0;
rot_mat.c.z = 1.0;
_dcm_matrix = rot_mat * _dcm_matrix;
in_motion = true;
error_course = 0;
}
} else {
error_course = 0;
in_motion = false;
}
}
_error_yaw = _dcm_matrix.c * error_course; // Equation 24, Applys the yaw correction to the XYZ rotation of the aircraft, depeding the position.
_omega_P += _error_yaw * _kp_yaw; // Adding yaw correction to proportional correction vector.
_omega_I += _error_yaw * Ki_YAW; // adding yaw correction to integrator correction vector.
// Here we will place a limit on the integrator so that the integrator cannot ever exceed half the saturation limit of the gyros
integrator_magnitude = _omega_I.length();
if (integrator_magnitude > radians(300)) {
_omega_I *= (0.5f * radians(300) / integrator_magnitude); // Why do we have this discontinuous? EG, why the 0.5?
}
//Serial.print("*");
}
/**************************************************/
void
AP_DCM::euler_angles(void)
{
#if (OUTPUTMODE == 2) // Only accelerometer info (debugging purposes)
roll = atan2(_accel_vector.y, -_accel_vector.z); // atan2(acc_y, acc_z)
pitch = asin((_accel_vector.x) / (double)9.81); // asin(acc_x)
yaw = 0;
#else
pitch = -asin(_dcm_matrix.c.x);
roll = atan2(_dcm_matrix.c.y, _dcm_matrix.c.z);
yaw = atan2(_dcm_matrix.b.x, _dcm_matrix.a.x);
#endif
roll_sensor = degrees(roll) * 100;
pitch_sensor = degrees(pitch) * 100;
yaw_sensor = degrees(yaw) * 100;
if (yaw_sensor < 0)
yaw_sensor += 36000;
}
/**************************************************/
float
AP_DCM::get_health(void)
{
return _health;
}