void stabilization_attitude_run(bool_t enable_integrator) {
/*
* Update reference
*/
stabilization_attitude_ref_update();
/*
* Compute errors for feedback
*/
/* attitude error */
struct FloatQuat att_err;
FLOAT_QUAT_INV_COMP(att_err, ahrs_float.ltp_to_body_quat, stab_att_ref_quat);
/* wrap it in the shortest direction */
FLOAT_QUAT_WRAP_SHORTEST(att_err);
/* rate error */
struct FloatRates rate_err;
RATES_DIFF(rate_err, stab_att_ref_rate, ahrs_float.body_rate);
/* integrated error */
if (enable_integrator) {
struct FloatQuat new_sum_err, scaled_att_err;
/* update accumulator */
scaled_att_err.qi = att_err.qi;
scaled_att_err.qx = att_err.qx / IERROR_SCALE;
scaled_att_err.qy = att_err.qy / IERROR_SCALE;
scaled_att_err.qz = att_err.qz / IERROR_SCALE;
FLOAT_QUAT_COMP(new_sum_err, stabilization_att_sum_err_quat, scaled_att_err);
FLOAT_QUAT_NORMALIZE(new_sum_err);
FLOAT_QUAT_COPY(stabilization_att_sum_err_quat, new_sum_err);
FLOAT_EULERS_OF_QUAT(stabilization_att_sum_err_eulers, stabilization_att_sum_err_quat);
} else {
/* reset accumulator */
FLOAT_QUAT_ZERO( stabilization_att_sum_err_quat );
FLOAT_EULERS_ZERO( stabilization_att_sum_err_eulers );
}
attitude_run_ff(stabilization_att_ff_cmd, &stabilization_gains[gain_idx], &stab_att_ref_accel);
attitude_run_fb(stabilization_att_fb_cmd, &stabilization_gains[gain_idx], &att_err, &rate_err, &ahrs_float.body_rate_d, &stabilization_att_sum_err_quat);
// FIXME: this is very dangerous! only works if this really includes all commands
for (int i = COMMAND_ROLL; i <= COMMAND_YAW_SURFACE; i++) {
stabilization_cmd[i] = stabilization_att_fb_cmd[i]+stabilization_att_ff_cmd[i];
}
/* bound the result */
BoundAbs(stabilization_cmd[COMMAND_ROLL], MAX_PPRZ);
BoundAbs(stabilization_cmd[COMMAND_PITCH], MAX_PPRZ);
BoundAbs(stabilization_cmd[COMMAND_YAW], MAX_PPRZ);
}
static void ahrs_do_update_mag(void) {
int i, j, k;
#ifdef BAFL_DEBUG2
printf("Mag update.\n");
#endif
MAGS_FLOAT_OF_BFP(bafl_mag, imu.mag);
/* P_prio = P */
for (i = 0; i < BAFL_SSIZE; i++) {
for (j = 0; j < BAFL_SSIZE; j++) {
bafl_Pprio[i][j] = bafl_P[i][j];
}
}
/*
* set up measurement matrix
*
* h = [236.; -2.; 396.];
* hx = [ h(2); -h(1); 0]; //only psi (phi and theta = 0)
* Hm = Cnb * hx;
* H = [ 0 0 0 0 0
* 0 0 Cnb*hx 0 0 0
* 0 0 0 0 0 ];
* */
/*bafl_H[0][2] = RMAT_ELMT(bafl_dcm, 0, 0) * bafl_h.y - RMAT_ELMT(bafl_dcm, 0, 1) * bafl_h.x;
bafl_H[1][2] = RMAT_ELMT(bafl_dcm, 1, 0) * bafl_h.y - RMAT_ELMT(bafl_dcm, 1, 1) * bafl_h.x;
bafl_H[2][2] = RMAT_ELMT(bafl_dcm, 2, 0) * bafl_h.y - RMAT_ELMT(bafl_dcm, 2, 1) * bafl_h.x;*/
bafl_H[0][2] = -RMAT_ELMT(bafl_dcm, 0, 1);
bafl_H[1][2] = -RMAT_ELMT(bafl_dcm, 1, 1);
bafl_H[2][2] = -RMAT_ELMT(bafl_dcm, 2, 1);
//rest is zero
/**********************************************
* compute Kalman gain K
*
* K = P_prio * H_T * inv(S)
* S = H * P_prio * HT + R
*
* K = P_prio * HT * inv(H * P_prio * HT + R)
*
**********************************************/
/* covariance residual S = H * P_prio * HT + R */
/* temp_S(3x6) = H(3x6) * P_prio(6x6)
*
* only third column of H is non-zero
*/
for (i = 0; i < 3; i++) {
for (j = 0; j < BAFL_SSIZE; j++) {
bafl_tempS[i][j] = bafl_H[i][2] * bafl_Pprio[2][j];
}
}
/* S(3x3) = temp_S(3x6) * HT(6x3) + R(3x3)
*
* only third row of HT is non-zero
*/
for (i = 0; i < 3; i++) {
for (j = 0; j < 3; j++) {
bafl_S[i][j] = bafl_tempS[i][2] * bafl_H[j][2]; /* H[j][2] = HT[2][j] */
}
bafl_S[i][i] += bafl_R_mag;
}
/* invert S
*/
FLOAT_MAT33_INVERT(bafl_invS, bafl_S);
/* temp_K(6x3) = P_prio(6x6) * HT(6x3)
*
* only third row of HT is non-zero
*/
for (i = 0; i < BAFL_SSIZE; i++) {
for (j = 0; j < 3; j++) {
/* not computing zero elements */
bafl_tempK[i][j] = bafl_Pprio[i][2] * bafl_H[j][2]; /* H[j][2] = HT[2][j] */
}
}
/* K(6x3) = temp_K(6x3) * invS(3x3)
*/
for (i = 0; i < BAFL_SSIZE; i++) {
for (j = 0; j < 3; j++) {
bafl_K[i][j] = bafl_tempK[i][0] * bafl_invS[0][j];
bafl_K[i][j] += bafl_tempK[i][1] * bafl_invS[1][j];
bafl_K[i][j] += bafl_tempK[i][2] * bafl_invS[2][j];
}
}
/**********************************************
* Update filter state.
*
* The a priori filter state is zero since the errors are corrected after each update.
*
* X = X_prio + K (y - H * X_prio)
* X = K * y
**********************************************/
/* innovation
* y = Cnb * [hx; hy; hz] - mag
*/
FLOAT_RMAT_VECT3_MUL(bafl_ym, bafl_dcm, bafl_h); //can be optimized
FLOAT_VECT3_SUB(bafl_ym, bafl_mag);
/* X(6) = K(6x3) * y(3)
*/
for (i = 0; i < BAFL_SSIZE; i++) {
bafl_X[i] = bafl_K[i][0] * bafl_ym.x;
bafl_X[i] += bafl_K[i][1] * bafl_ym.y;
bafl_X[i] += bafl_K[i][2] * bafl_ym.z;
}
/**********************************************
* Update the filter covariance.
*
* P = P_prio - K * H * P_prio
* P = ( I - K * H ) * P_prio
*
**********************************************/
/* temp(6x6) = I(6x6) - K(6x3)*H(3x6)
*
* last 3 columns of H are zero
*/
for (i = 0; i < 6; i++) {
for (j = 0; j < 6; j++) {
if (i == j) {
bafl_tempP[i][j] = 1.;
} else {
bafl_tempP[i][j] = 0.;
}
if (j == 2) { /* omit the parts where H is zero */
for (k = 0; k < 3; k++) {
bafl_tempP[i][j] -= bafl_K[i][k] * bafl_H[k][j];
}
}
}
}
/* P(6x6) = temp(6x6) * P_prio(6x6)
*/
for (i = 0; i < BAFL_SSIZE; i++) {
for (j = 0; j < BAFL_SSIZE; j++) {
bafl_P[i][j] = bafl_tempP[i][0] * bafl_Pprio[0][j];
for (k = 1; k < BAFL_SSIZE; k++) {
bafl_P[i][j] += bafl_tempP[i][k] * bafl_Pprio[k][j];
}
}
}
#ifdef LKF_PRINT_P
printf("Pum=");
for (i = 0; i < 6; i++) {
printf("[");
for (j = 0; j < 6; j++) {
printf("%f\t", bafl_P[i][j]);
}
printf("]\n ");
}
printf("\n");
#endif
/**********************************************
* Correct errors.
*
*
**********************************************/
/* Error quaternion.
*/
QUAT_ASSIGN(bafl_q_m_err, 1.0, bafl_X[0]/2, bafl_X[1]/2, bafl_X[2]/2);
FLOAT_QUAT_INVERT(bafl_q_m_err, bafl_q_m_err);
/* normalize */
float q_sq;
q_sq = bafl_q_m_err.qx * bafl_q_m_err.qx + bafl_q_m_err.qy * bafl_q_m_err.qy + bafl_q_m_err.qz * bafl_q_m_err.qz;
if (q_sq > 1) { /* this should actually never happen */
FLOAT_QUAT_SMUL(bafl_q_m_err, bafl_q_m_err, 1 / sqrtf(1 + q_sq));
printf("mag error quaternion q_sq > 1!!\n");
} else {
bafl_q_m_err.qi = sqrtf(1 - q_sq);
}
/* correct attitude
*/
FLOAT_QUAT_COMP(bafl_qtemp, bafl_q_m_err, bafl_quat);
FLOAT_QUAT_COPY(bafl_quat, bafl_qtemp);
/* correct gyro bias
*/
RATES_ASSIGN(bafl_b_m_err, bafl_X[3], bafl_X[4], bafl_X[5]);
RATES_SUB(bafl_bias, bafl_b_m_err);
/*
* compute all representations
*/
/* maintain rotation matrix representation */
FLOAT_RMAT_OF_QUAT(bafl_dcm, bafl_quat);
/* maintain euler representation */
FLOAT_EULERS_OF_RMAT(bafl_eulers, bafl_dcm);
AHRS_TO_BFP();
AHRS_LTP_TO_BODY();
}
/*
* Propagate our dynamic system in time
*
* Run the strapdown computation and the predict step of the filter
*
*
* quat_dot = Wxq(pqr) * quat
* bias_dot = 0
*
* Wxq is the quaternion omega matrix:
*
* [ 0, -p, -q, -r ]
* 1/2 * [ p, 0, r, -q ]
* [ q, -r, 0, p ]
* [ r, q, -p, 0 ]
*
*/
void ahrs_propagate(void) {
int i, j, k;
ahrs_lowpass_accel();
/* compute unbiased rates */
RATES_FLOAT_OF_BFP(bafl_rates, imu.gyro);
RATES_SUB(bafl_rates, bafl_bias);
/* run strapdown computation
*
*/
/* multiplicative quaternion update */
/* compute correction quaternion */
QUAT_ASSIGN(bafl_qr, 1., bafl_rates.p * BAFL_DT / 2, bafl_rates.q * BAFL_DT / 2, bafl_rates.r * BAFL_DT / 2);
/* normalize it. maybe not necessary?? */
float q_sq;
q_sq = (bafl_qr.qx * bafl_qr.qx +bafl_qr.qy * bafl_qr.qy + bafl_qr.qz * bafl_qr.qz) / 4;
if (q_sq > 1) { /* this should actually never happen */
FLOAT_QUAT_SMUL(bafl_qr, bafl_qr, 1 / sqrtf(1 + q_sq));
} else {
bafl_qr.qi = sqrtf(1 - q_sq);
}
/* propagate correction quaternion */
FLOAT_QUAT_COMP(bafl_qtemp, bafl_quat, bafl_qr);
FLOAT_QUAT_COPY(bafl_quat, bafl_qtemp);
bafl_qnorm = FLOAT_QUAT_NORM(bafl_quat);
//TODO check if broot force normalization is good, use lagrange normalization?
FLOAT_QUAT_NORMALISE(bafl_quat);
/*
* compute all representations
*/
/* maintain rotation matrix representation */
FLOAT_RMAT_OF_QUAT(bafl_dcm, bafl_quat);
/* maintain euler representation */
FLOAT_EULERS_OF_RMAT(bafl_eulers, bafl_dcm);
AHRS_TO_BFP();
AHRS_LTP_TO_BODY();
/* error KF-Filter
* propagate only the error covariance matrix since error is corrected after each measurement
*
* F = [ 0 0 0 ]
* [ 0 0 0 -Cbn ]
* [ 0 0 0 ]
* [ 0 0 0 0 0 0 ]
* [ 0 0 0 0 0 0 ]
* [ 0 0 0 0 0 0 ]
*
* T = e^(dt * F)
*
* T = [ 1 0 0 ]
* [ 0 1 0 -Cbn*dt ]
* [ 0 0 1 ]
* [ 0 0 0 1 0 0 ]
* [ 0 0 0 0 1 0 ]
* [ 0 0 0 0 0 1 ]
*
* P_prio = T * P * T_T + Q
*
*/
/*
* compute state transition matrix T
*
* diagonal elements of T are always one
*/
for (i = 0; i < 3; i++) {
for (j = 0; j < 3; j++) {
bafl_T[i][j + 3] = -RMAT_ELMT(bafl_dcm, j, i); /* inverted bafl_dcm */
}
}
/*
* estimate the a priori error covariance matrix P_k = T * P_k-1 * T_T + Q
*/
/* Temporary multiplication temp(6x6) = T(6x6) * P(6x6) */
for (i = 0; i < BAFL_SSIZE; i++) {
for (j = 0; j < BAFL_SSIZE; j++) {
bafl_tempP[i][j] = 0.;
for (k = 0; k < BAFL_SSIZE; k++) {
bafl_tempP[i][j] += bafl_T[i][k] * bafl_P[k][j];
}
}
}
/* P_k(6x6) = temp(6x6) * T_T(6x6) + Q */
for (i = 0; i < BAFL_SSIZE; i++) {
for (j = 0; j < BAFL_SSIZE; j++) {
bafl_P[i][j] = 0.;
for (k = 0; k < BAFL_SSIZE; k++) {
bafl_P[i][j] += bafl_tempP[i][k] * bafl_T[j][k]; //T[j][k] = T_T[k][j]
}
}
if (i<3) {
bafl_P[i][i] += bafl_Q_att;
} else {
bafl_P[i][i] += bafl_Q_gyro;
}
}
#ifdef LKF_PRINT_P
printf("Pp =");
for (i = 0; i < 6; i++) {
printf("[");
for (j = 0; j < 6; j++) {
printf("%f\t", bafl_P[i][j]);
}
printf("]\n ");
}
printf("\n");
#endif
}
static void ahrs_do_update_accel(void) {
int i, j, k;
#ifdef BAFL_DEBUG2
printf("Accel update.\n");
#endif
/* P_prio = P */
for (i = 0; i < BAFL_SSIZE; i++) {
for (j = 0; j < BAFL_SSIZE; j++) {
bafl_Pprio[i][j] = bafl_P[i][j];
}
}
/*
* set up measurement matrix
*
* g = 9.81
* gx = [ 0 -g 0
* g 0 0
* 0 0 0 ]
* H = [ 0 0 0 ]
* [ -Cnb*gx 0 0 0 ]
* [ 0 0 0 ]
*
* */
bafl_H[0][0] = -RMAT_ELMT(bafl_dcm, 0, 1) * BAFL_g;
bafl_H[0][1] = RMAT_ELMT(bafl_dcm, 0, 0) * BAFL_g;
bafl_H[1][0] = -RMAT_ELMT(bafl_dcm, 1, 1) * BAFL_g;
bafl_H[1][1] = RMAT_ELMT(bafl_dcm, 1, 0) * BAFL_g;
bafl_H[2][0] = -RMAT_ELMT(bafl_dcm, 2, 1) * BAFL_g;
bafl_H[2][1] = RMAT_ELMT(bafl_dcm, 2, 0) * BAFL_g;
/* rest is zero
bafl_H[0][2] = 0.;
bafl_H[1][2] = 0.;
bafl_H[2][2] = 0.;*/
/**********************************************
* compute Kalman gain K
*
* K = P_prio * H_T * inv(S)
* S = H * P_prio * HT + R
*
* K = P_prio * HT * inv(H * P_prio * HT + R)
*
**********************************************/
/* covariance residual S = H * P_prio * HT + R */
/* temp_S(3x6) = H(3x6) * P_prio(6x6)
* last 4 columns of H are zero
*/
for (i = 0; i < 3; i++) {
for (j = 0; j < BAFL_SSIZE; j++) {
bafl_tempS[i][j] = bafl_H[i][0] * bafl_Pprio[0][j];
bafl_tempS[i][j] += bafl_H[i][1] * bafl_Pprio[1][j];
}
}
/* S(3x3) = temp_S(3x6) * HT(6x3) + R(3x3)
*
* bottom 4 rows of HT are zero
*/
for (i = 0; i < 3; i++) {
for (j = 0; j < 3; j++) {
bafl_S[i][j] = bafl_tempS[i][0] * bafl_H[j][0]; /* H[j][0] = HT[0][j] */
bafl_S[i][j] += bafl_tempS[i][1] * bafl_H[j][1]; /* H[j][0] = HT[0][j] */
}
bafl_S[i][i] += bafl_R_accel;
}
/* invert S
*/
FLOAT_MAT33_INVERT(bafl_invS, bafl_S);
/* temp_K(6x3) = P_prio(6x6) * HT(6x3)
*
* bottom 4 rows of HT are zero
*/
for (i = 0; i < BAFL_SSIZE; i++) {
for (j = 0; j < 3; j++) {
/* not computing zero elements */
bafl_tempK[i][j] = bafl_Pprio[i][0] * bafl_H[j][0]; /* H[j][0] = HT[0][j] */
bafl_tempK[i][j] += bafl_Pprio[i][1] * bafl_H[j][1]; /* H[j][1] = HT[1][j] */
}
}
/* K(6x3) = temp_K(6x3) * invS(3x3)
*/
for (i = 0; i < BAFL_SSIZE; i++) {
for (j = 0; j < 3; j++) {
bafl_K[i][j] = bafl_tempK[i][0] * bafl_invS[0][j];
bafl_K[i][j] += bafl_tempK[i][1] * bafl_invS[1][j];
bafl_K[i][j] += bafl_tempK[i][2] * bafl_invS[2][j];
}
}
/**********************************************
* Update filter state.
*
* The a priori filter state is zero since the errors are corrected after each update.
*
* X = X_prio + K (y - H * X_prio)
* X = K * y
**********************************************/
/*printf("R = ");
for (i = 0; i < 3; i++) {
printf("[");
for (j = 0; j < 3; j++) {
printf("%f\t", RMAT_ELMT(bafl_dcm, i, j));
}
printf("]\n ");
}
printf("\n");*/
/* innovation
* y = Cnb * -[0; 0; g] - accel
*/
bafl_ya.x = -RMAT_ELMT(bafl_dcm, 0, 2) * BAFL_g - bafl_accel_measure.x;
bafl_ya.y = -RMAT_ELMT(bafl_dcm, 1, 2) * BAFL_g - bafl_accel_measure.y;
bafl_ya.z = -RMAT_ELMT(bafl_dcm, 2, 2) * BAFL_g - bafl_accel_measure.z;
/* X(6) = K(6x3) * y(3)
*/
for (i = 0; i < BAFL_SSIZE; i++) {
bafl_X[i] = bafl_K[i][0] * bafl_ya.x;
bafl_X[i] += bafl_K[i][1] * bafl_ya.y;
bafl_X[i] += bafl_K[i][2] * bafl_ya.z;
}
/**********************************************
* Update the filter covariance.
*
* P = P_prio - K * H * P_prio
* P = ( I - K * H ) * P_prio
*
**********************************************/
/* temp(6x6) = I(6x6) - K(6x3)*H(3x6)
*
* last 4 columns of H are zero
*/
for (i = 0; i < BAFL_SSIZE; i++) {
for (j = 0; j < BAFL_SSIZE; j++) {
if (i == j) {
bafl_tempP[i][j] = 1.;
} else {
bafl_tempP[i][j] = 0.;
}
if (j < 2) { /* omit the parts where H is zero */
for (k = 0; k < 3; k++) {
bafl_tempP[i][j] -= bafl_K[i][k] * bafl_H[k][j];
}
}
}
}
/* P(6x6) = temp(6x6) * P_prio(6x6)
*/
for (i = 0; i < BAFL_SSIZE; i++) {
for (j = 0; j < BAFL_SSIZE; j++) {
bafl_P[i][j] = bafl_tempP[i][0] * bafl_Pprio[0][j];
for (k = 1; k < BAFL_SSIZE; k++) {
bafl_P[i][j] += bafl_tempP[i][k] * bafl_Pprio[k][j];
}
}
}
#ifdef LKF_PRINT_P
printf("Pua=");
for (i = 0; i < 6; i++) {
printf("[");
for (j = 0; j < 6; j++) {
printf("%f\t", bafl_P[i][j]);
}
printf("]\n ");
}
printf("\n");
#endif
/**********************************************
* Correct errors.
*
*
**********************************************/
/* Error quaternion.
*/
QUAT_ASSIGN(bafl_q_a_err, 1.0, bafl_X[0]/2, bafl_X[1]/2, bafl_X[2]/2);
FLOAT_QUAT_INVERT(bafl_q_a_err, bafl_q_a_err);
/* normalize
* Is this needed? Or is the approximation good enough?*/
float q_sq;
q_sq = bafl_q_a_err.qx * bafl_q_a_err.qx + bafl_q_a_err.qy * bafl_q_a_err.qy + bafl_q_a_err.qz * bafl_q_a_err.qz;
if (q_sq > 1) { /* this should actually never happen */
FLOAT_QUAT_SMUL(bafl_q_a_err, bafl_q_a_err, 1 / sqrtf(1 + q_sq));
printf("Accel error quaternion q_sq > 1!!\n");
} else {
bafl_q_a_err.qi = sqrtf(1 - q_sq);
}
/* correct attitude
*/
FLOAT_QUAT_COMP(bafl_qtemp, bafl_q_a_err, bafl_quat);
FLOAT_QUAT_COPY(bafl_quat, bafl_qtemp);
/* correct gyro bias
*/
RATES_ASSIGN(bafl_b_a_err, bafl_X[3], bafl_X[4], bafl_X[5]);
RATES_SUB(bafl_bias, bafl_b_a_err);
/*
* compute all representations
*/
/* maintain rotation matrix representation */
FLOAT_RMAT_OF_QUAT(bafl_dcm, bafl_quat);
/* maintain euler representation */
FLOAT_EULERS_OF_RMAT(bafl_eulers, bafl_dcm);
AHRS_TO_BFP();
AHRS_LTP_TO_BODY();
}
void stabilization_attitude_run(bool_t enable_integrator) {
/*
* Update reference
*/
stabilization_attitude_ref_update();
/*
* Compute errors for feedback
*/
/* attitude error */
struct FloatQuat att_err;
struct FloatQuat* att_quat = stateGetNedToBodyQuat_f();
FLOAT_QUAT_INV_COMP(att_err, *att_quat, stab_att_ref_quat);
/* wrap it in the shortest direction */
FLOAT_QUAT_WRAP_SHORTEST(att_err);
/* rate error */
struct FloatRates rate_err;
struct FloatRates* body_rate = stateGetBodyRates_f();
RATES_DIFF(rate_err, stab_att_ref_rate, *body_rate);
/* rate_d error */
struct FloatRates body_rate_d;
RATES_DIFF(body_rate_d, *body_rate, last_body_rate);
RATES_COPY(last_body_rate, *body_rate);
/* integrated error */
if (enable_integrator) {
struct FloatQuat new_sum_err, scaled_att_err;
/* update accumulator */
scaled_att_err.qi = att_err.qi;
scaled_att_err.qx = att_err.qx / IERROR_SCALE;
scaled_att_err.qy = att_err.qy / IERROR_SCALE;
scaled_att_err.qz = att_err.qz / IERROR_SCALE;
FLOAT_QUAT_COMP(new_sum_err, stabilization_att_sum_err_quat, scaled_att_err);
FLOAT_QUAT_NORMALIZE(new_sum_err);
FLOAT_QUAT_COPY(stabilization_att_sum_err_quat, new_sum_err);
FLOAT_EULERS_OF_QUAT(stabilization_att_sum_err_eulers, stabilization_att_sum_err_quat);
} else {
/* reset accumulator */
FLOAT_QUAT_ZERO( stabilization_att_sum_err_quat );
FLOAT_EULERS_ZERO( stabilization_att_sum_err_eulers );
}
attitude_run_ff(stabilization_att_ff_cmd, &stabilization_gains[gain_idx], &stab_att_ref_accel);
attitude_run_fb(stabilization_att_fb_cmd, &stabilization_gains[gain_idx], &att_err, &rate_err, &body_rate_d, &stabilization_att_sum_err_quat);
stabilization_cmd[COMMAND_ROLL] = stabilization_att_fb_cmd[COMMAND_ROLL] + stabilization_att_ff_cmd[COMMAND_ROLL];
stabilization_cmd[COMMAND_PITCH] = stabilization_att_fb_cmd[COMMAND_PITCH] + stabilization_att_ff_cmd[COMMAND_PITCH];
stabilization_cmd[COMMAND_YAW] = stabilization_att_fb_cmd[COMMAND_YAW] + stabilization_att_ff_cmd[COMMAND_YAW];
#ifdef HAS_SURFACE_COMMANDS
stabilization_cmd[COMMAND_ROLL_SURFACE] = stabilization_att_fb_cmd[COMMAND_ROLL_SURFACE] + stabilization_att_ff_cmd[COMMAND_ROLL_SURFACE];
stabilization_cmd[COMMAND_PITCH_SURFACE] = stabilization_att_fb_cmd[COMMAND_PITCH_SURFACE] + stabilization_att_ff_cmd[COMMAND_PITCH_SURFACE];
stabilization_cmd[COMMAND_YAW_SURFACE] = stabilization_att_fb_cmd[COMMAND_YAW_SURFACE] + stabilization_att_ff_cmd[COMMAND_YAW_SURFACE];
#endif
/* bound the result */
BoundAbs(stabilization_cmd[COMMAND_ROLL], MAX_PPRZ);
BoundAbs(stabilization_cmd[COMMAND_PITCH], MAX_PPRZ);
BoundAbs(stabilization_cmd[COMMAND_YAW], MAX_PPRZ);
}
