Attitude estimation using IMU (3-DoF ver.)

Fork of ATTITUDE_ESTIMATION by LDSC_Robotics_TAs

ATTITUDE_ESTIMATION.h

Committer:
benson516
Date:
2016-12-24
Revision:
6:c362ed165c39
Parent:
5:01e322f4158f
Child:
7:6fc812e342e6

File content as of revision 6:c362ed165c39:

#ifndef _ATTITUDE_ESTIMATION_H_
#define _ATTITUDE_ESTIMATION_H_

#include "mbed.h"
#include <vector>

using std::vector;


class LPF_vector
{public:
    vector<float> output;

    LPF_vector(size_t dimension, float samplingTime, float cutOff_freq_Hz_in); // cutOff_freq_Hz_in is in "Hz"
    vector<float> filter(const vector<float> &v_in);
    void reset(const vector<float> &v_in);

private:
    size_t n;
    float Ts;
    float cutOff_freq_Hz; // Hz
    float alpha_Ts;
    float One_alpha_Ts;

    // Flag
    bool Flag_Init;

    //
    vector<float> zeros; // Zero vector [0;0;0]
};


// Class
class ATTITUDE{
public:

    // Variables
    float alpha; // Convergent rate, rad/sec.
    float one_over_gamma; // 1/gamma, one_over_gamma == 0 means no estimation on gyro bias
    float Ts; // Sampling time, sec.
    bool enable_biasEst; // Enable the gyro-bias estimation capability

    // The map from "real" coordinate to "here" coordinate
    // eg. accMap_real2here = [3,-1,-2];
    // means: real  ->  here
    //     1   x         z   3
    //     2   y        -x  -1
    //     3   z        -y  -2
    vector<int> accMap_real2here;
    vector<int> gyroMap_real2here;

    vector<float> x_est; // Estimated state
    vector<float> gyroBias_est; // The estimated gyro bias in each channel
    vector<float> omega; // Rotation speed in body-fixed frame
    vector<float> ys; // Sensor output
    vector<float> w_cross_ys; // omega X ys
    vector<float> ys_cross_x_ys; // ys X (x_est - ys)

    // Eular angles, in rad/s
    float pitch;
    float roll;
    float yaw;


    // Constructor:
    // Initialize the estimator
    ATTITUDE(float alpha_in, float one_over_gamma_in, float Ts_in); // alpha in rad/sec., Ts in sec.

    // Methods
    // Transformations
    void InputMapping(vector<float> &v_hereDef, const vector<float> &v_realDef, const vector<int> &map_real2here);
    void OutputMapping(vector<float> &v_realDef, const vector<float> &v_hereDef, const vector<int> &map_real2here);
    //float* Vector_to_SkewSymmetry(float v_in[]);
    //float* SkewSymmetry_to_Vector(float M_in[3][]);
    void gVector_to_EulerAngle(const vector<float> &v_in);
    //float* EulerAngle_to_gVector(float Eu_in[]);

    // vector operation
    void Get_CrossProduct3(vector<float> &v_c, const vector<float> &v_a, const vector<float> &v_b); // v_a X v_b
    vector<float> Get_VectorPlus(const vector<float> &v_a, const vector<float> &v_b, bool is_minus); // v_a + (or -) v_b
    vector<float> Get_VectorScalarMultiply(const vector<float> &v_a, float scale); // scale*v_a
    float Get_Vector3Norm(const vector<float> &v_in);
    void Normolization(vector<float> &V_out, const vector<float> &V_in);

    // Estimator
    void Init(const vector<float> &y_in); // Let _x_est = y_in
    void iterateOnce(const vector<float> &y_in, const vector<float> &omega_in); // Main alogorithm
    void updateGyroBiasEst(void);
    void getEstimation_realCoordinate(vector<float> &V_out);
    float pitch_deg(void);
    float roll_deg(void);
    float yaw_deg(void);

    // Unit transformation
    float pi; // pi = 3.1415926
    float deg2rad; // = 3.1415926/180.0;
    float rad2deg; // = 180.0/3.1415926;

private:
    // Dimension
    size_t n;

    // Variables
    vector<float> unit_nx; // (-x) direction [-1;0;0]
    vector<float> unit_ny; // (-y) direction [0;-1;0]
    vector<float> unit_nz; // (-z) direction [0;0;-1]
    vector<float> zeros; // Zero vector [0;0;0]
    //
    size_t init_flag; // Flag for displaying initialization status
    // float _omega_x[3][3]; // Skew symmetric matrix of omega

    vector<float> L1_diag; // Diagonal vector of gain matrix L1

    // Methods
    void Set_L1_diag(float alpha_in); // set diagnal element of gain matrix

    LPF_vector lpfv_ys;
    LPF_vector lpfv_w;
};

#endif // _ATTITUDE_ESTIMATION_H_