ardupilot/libraries/AP_Mount/SoloGimbalEKF.h

177 lines
5.7 KiB
C++

/// -*- tab-width: 4; Mode: C++; c-basic-offset: 4; indent-tabs-mode: nil -*-
/*
smaller EKF for simpler estimation applications
Converted from Matlab to C++ by Paul Riseborough
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
#ifndef _SOLO_GIMBAL_EKF_
#define _SOLO_GIMBAL_EKF_
#include <AP_Math/AP_Math.h>
#include <AP_InertialSensor/AP_InertialSensor.h>
#include <AP_Baro/AP_Baro.h>
#include <AP_Airspeed/AP_Airspeed.h>
#include <AP_Compass/AP_Compass.h>
#include <AP_Param/AP_Param.h>
#include <AP_NavEKF/AP_Nav_Common.h>
#include <AP_AHRS/AP_AHRS.h>
#include <AP_NavEKF/AP_NavEKF.h>
#include <AP_Math/vectorN.h>
class SoloGimbalEKF
{
public:
typedef float ftype;
#if MATH_CHECK_INDEXES
typedef VectorN<ftype,2> Vector2;
typedef VectorN<ftype,3> Vector3;
typedef VectorN<ftype,5> Vector5;
typedef VectorN<ftype,6> Vector6;
typedef VectorN<ftype,8> Vector8;
typedef VectorN<ftype,9> Vector9;
typedef VectorN<ftype,10> Vector10;
typedef VectorN<ftype,11> Vector11;
typedef VectorN<ftype,13> Vector13;
typedef VectorN<ftype,14> Vector14;
typedef VectorN<ftype,15> Vector15;
typedef VectorN<ftype,22> Vector22;
typedef VectorN<ftype,31> Vector31;
typedef VectorN<ftype,34> Vector34;
typedef VectorN<VectorN<ftype,3>,3> Matrix3;
typedef VectorN<VectorN<ftype,22>,22> Matrix22;
typedef VectorN<VectorN<ftype,34>,22> Matrix34_50;
typedef VectorN<uint32_t,50> Vector_u32_50;
#else
typedef ftype Vector2[2];
typedef ftype Vector3[3];
typedef ftype Vector5[5];
typedef ftype Vector6[6];
typedef ftype Vector8[8];
typedef ftype Vector9[9];
typedef ftype Vector10[10];
typedef ftype Vector11[11];
typedef ftype Vector13[13];
typedef ftype Vector14[14];
typedef ftype Vector15[15];
typedef ftype Vector22[22];
typedef ftype Vector31[31];
typedef ftype Vector34[34];
typedef ftype Matrix3[3][3];
typedef ftype Matrix22[22][22];
typedef ftype Matrix34_50[34][50];
typedef uint32_t Vector_u32_50[50];
#endif
// Constructor
SoloGimbalEKF(const AP_AHRS_NavEKF &ahrs);
// Run the EKF main loop once every time we receive sensor data
void RunEKF(float delta_time, const Vector3f &delta_angles, const Vector3f &delta_velocity, const Vector3f &joint_angles);
void reset();
// get some debug information
void getDebug(float &tilt, Vector3f &velocity, Vector3f &euler, Vector3f &gyroBias) const;
// get gyro bias data
void getGyroBias(Vector3f &gyroBias) const;
// set gyro bias
void setGyroBias(const Vector3f &gyroBias);
// get quaternion data
void getQuat(Quaternion &quat) const;
// get filter alignment status - true is aligned
bool getStatus(void) const;
static const struct AP_Param::GroupInfo var_info[];
private:
const AP_AHRS_NavEKF &_ahrs;
// the states are available in two forms, either as a Vector13 or
// broken down as individual elements. Both are equivalent (same
// memory)
Vector13 states;
struct state_elements {
Vector3f angErr; // 0..2 rotation vector representing the growth in angle error since the last state correction (rad)
Vector3f velocity; // 3..5 NED velocity (m/s)
Vector3f delAngBias; // 6..8 estimated bias errors in the IMU delta angles
Quaternion quat; // 9..12 these states are used by the INS prediction only and are not used by the EKF state equations.
} &state;
// data from sensors
struct {
Vector3f delAng;
Vector3f delVel;
float gPhi;
float gPsi;
float gTheta;
} gSense;
float Cov[9][9]; // covariance matrix
Matrix3f Tsn; // Sensor to NED rotation matrix
float TiltCorrection; // Angle correction applied to tilt from last velocity fusion (rad)
bool newDataMag; // true when new magnetometer data is waiting to be used
uint32_t StartTime_ms; // time the EKF was started (msec)
bool FiltInit; // true when EKF is initialised
bool YawAligned; // true when EKF heading is initialised
float cosPhi;// = cosf(gSense.gPhi);
float cosTheta;// = cosf(gSense.gTheta);
float sinPhi;// = sinf(gSense.gPhi);
float sinTheta;// = sinf(gSense.gTheta);
float sinPsi;// = sinf(gSense.gPsi);
float cosPsi;// = cosf(gSense.gPsi);
uint32_t lastMagUpdate;
Vector3f magData;
uint32_t imuSampleTime_ms;
float dtIMU;
// States used for unwrapping of compass yaw error
float innovationIncrement;
float lastInnovation;
// state prediction
void predictStates();
// EKF covariance prediction
void predictCovariance();
// EKF velocity fusion
void fuseVelocity();
// read magnetometer data
void readMagData();
// EKF compass fusion
void fuseCompass();
// Perform an initial heading alignment using the magnetic field and assumed declination
void alignHeading();
// Calculate magnetic heading innovation
float calcMagHeadingInnov();
// Force symmmetry and non-negative diagonals on state covarinace matrix
void fixCovariance();
};
#endif // _SOLO_GIMBAL_EKF_