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Ajouté par Ramazan CELIK il y a presque 3 ans

Fin séance 3 : filtre de kalman fonctionnel + ajout des commentaires et indentations

Voir les différences:

sp4a3_kalman.c
// Pour compiler : gcc sp4a3_kalman.c -lm
/** CELIK - Filtre kalman **/
#include <stdlib.h>
#include <stdio.h>
......
double xobs,yobs;
double oldx,oldy;
double dx=0,dy=0,dt=0.1;
int cpt = 0;
int cpt = 0, i, j;
// kalman param
double sigma_etat = 10.0;
......
double FT[4][4];
Transpose_Mat(4,4,F,FT);
while(fscanf(fichier, "%lf %lf %lf", &t, &xobs, &yobs)>0){
printf("-------------%04d--------------\n",cpt);
if (cpt ==0)
{
t0=t;x0=xobs;y0=yobs;
xobs=xobs-x0;yobs=yobs-y0;
Plot_Mat(F,"F = ");
Plot_Mat(H,"H = ");
Plot_Mat(R,"R = ");
}
else
{
t -= t0;xobs -= x0;yobs -= y0;
debug=0; ///Mettre à 1 pour afficher les matrices.
///Ajouter votre code ci-dessous///
// Kalman
// X = F*X
Plot_Mat(X," X(k+1|k) = ");
//P = F*P*F'+Q;
Plot_Mat(P,"P(k+1|k) = F.P(k|k).FT + Q = ");
// K = P*H' / ( H*P*H' + R);
Plot_Mat(K,"K = ");
//X = X + K*([xobs(i);yobs(i)]-H*X);
//Plot_Mat(Delta,"DELTA = Obs - H.X(k+1|k)");
Plot_Mat(X," X(k+1|k+1) = X(k+1|k) + K.Delta = ");
// P = P - K*H*P;
Plot_Mat(P," P(k+1|k+1) = P(k+1|k) - K.H.P(k+1|k) = ");
/// La matrice X doit contenir la position filtrée ///
}
t = cpt * dt;
dx = (xobs - oldx)/dt;
dy = (yobs - oldy)/dt;
fprintf(Fout,"%f\t%f\t%f\t%f\t%f\t%f\t%f\t%f\t%f\n",t,xobs,yobs,sqrt(dx*dx+dy*dy)*dt,X[0][0],X[1][0],X[2][0],X[3][0],sqrt(X[2][0]*X[2][0]+X[3][0]*X[3][0])*dt);
oldx = xobs;
oldy = yobs;
cpt ++;
}
fclose(Fout);
fclose(fichier);
system ("gnuplot -p -e \"plot 'output.dat' u 5:6 w l, '' u 2:3 w l\";");
system ("gnuplot -p -e \"plot 'output.dat' u 1:9 w l, '' u 1:4 w l\";");
system ("gnuplot -p -e \"plot 'output.dat' u 9 w l , 'vitesse_reelle.dat' u 2 w l\";");
return 0;
}
/**.....................Implantation des matrices intermediaires pour les iterations du filtre Kalman.....................**/
/* pour simplifier les iterations du filtre de Kalman : X1 = X(k+1|k) et X2 = X(k+1|k+1)
P1 = P(k+1|k) et P2 = P(k+1|k+1) */
double X1[4][1] = {{0},{0},{0},{0}};
double P1[4][4] = {{sigma_etat*sigma_etat, 0, 0, 0},
{0, sigma_etat*sigma_etat, 0, 0},
{0, 0, 0, 0},
{0, 0, 0, 0}};
double X2[4][1] = {{0},{0},{0},{0}};
double P2[4][4] = {{sigma_etat*sigma_etat, 0, 0, 0},
{0, sigma_etat*sigma_etat, 0, 0},
{0, 0, 0, 0},
{0, 0, 0, 0}};
/* Les resultats des fonctions creees precedemment (Add, Sub, Inv, Mul) seront stockes dans les matrices int[i][j] qui permettront une prise en main des iterations plus facilement */
double int1[4][4], int2[4][4], int3[4][4], int4[4][4], int5[4][4], int6[4][4], int7[4][4], int8[4][4], int9[4][4]; /*int10[4][4], int11[4][4], int12[4][4];*/
double delta[2][1]; /* delta = XY-H*X1 */
/**------------------------------------------------------------------------------------------------------------------------**/
while(fscanf(fichier, "%lf %lf %lf", &t, &xobs, &yobs)>0){ /* '&& cpt<3' qui permet de recuperer les 2 premieres iterations du filtre */
printf("-------------%04d--------------\n",cpt);
if (cpt ==0)
{
t0=t;x0=xobs;y0=yobs;
xobs=xobs-x0;yobs=yobs-y0;
Plot_Mat(F,"F = ");
Plot_Mat(H,"H = ");
Plot_Mat(R,"R = ");
}
else
{
t -= t0;xobs -= x0;yobs -= y0;
debug=0; ///Mettre à 1 pour afficher les matrices.
///Ajouter votre code ci-dessous///
// Kalman
double XY[2][1]={{xobs},{yobs}};
/** PREDICTION **/
// X = F*X
Mul_Mat_Mat(4, 4, F, 4, 1, X, X1); /* X(k+1|k) = F*X(k|k) */
Plot_Mat(X1," X(k+1|k) = ");
//P = F*P*F'+Q
Mul_Mat_Mat(4, 4, F, 4, 4, P, int1); /* int1 = F*P */
Mul_Mat_Mat(4, 4, int1, 4, 4, FT, int2); /* int2 = int1*FT, avec FT(F transposee) */
Add_Mat_Mat(4, 4, int2, 4, 4, Q, P1); /* P1 = int2+Q */
Plot_Mat(P1,"P(k+1|k) = F.P(k|k).FT + Q = ");
/** GAIN **/
// K = P*H' /( H*P*H' + R);
Mul_Mat_Mat(4, 4, P1, 4, 2, HT, int1); /* int1 = P1*HT, avec HT (H transposee) */
Mul_Mat_Mat(2, 4, H, 4, 4, P1, int2); /* int2 = H*P1 (denominateur) */
Mul_Mat_Mat(2, 4, int2, 4, 2, HT, int3); /* int3 = int2*HT */
Add_Mat_Mat(2, 2, int3, 2, 2, R, int6); /* int6 = int3+R */
Inverse_Mat_22(2, 2, int6, int5); /* inversion de int6 qu'on va stocker dans int5 */
Mul_Mat_Mat(4, 2, int1, 2, 2, int5, K); /* K = int1*int5 */
Plot_Mat(K,"K = ");
/** MISE A JOUR **/
//X = X + K*([xobs(i);yobs(i)]-H*X);
Mul_Mat_Mat(2, 4, H, 4, 1, X1, int2); /* int2 = H*X1 */
Sub_Mat_Mat(2, 1, XY, 2, 1, int2, delta); /* delta = XY-int2, avec delta qui est la difference entre l'observation et la projection du vecteur d'etat */
Mul_Mat_Mat(4, 2, K, 2, 1, delta, int7); /* int7 = K*delta */
Add_Mat_Mat(4, 1, X1, 4, 1, int7, X2); /* X2 = X1+int7 */
Plot_Mat(delta,"DELTA = Obs - H.X(k+1|k)");
Plot_Mat(X2," X(k+1|k+1) = X(k+1|k) + K.Delta = ");
// P = P - K*H*P;
Mul_Mat_Mat(4, 2, K, 2, 4, H, int8); /* int8 = H*K */
Mul_Mat_Mat(4, 4, int8, 4, 4, P1, int9); /* int9 = int8*P1 */
Sub_Mat_Mat(4, 4, P1, 4, 4, int9, P2); /* P2 = P1*int9 */
Plot_Mat(P2," P(k+1|k+1) = P(k+1|k) - K.H.P(k+1|k) = ");
// Iteration de X(k|k) qui va devenir X(k+1|k) et celle de X(k+1|k) qui va devenir X(k+1|k+1)
for (i=0; i<4; i++)
{
for (j=0; j<1; j++)
{
X[i][j]=X2[i][j];
}
}
// Meme principe : iteration P(k|k) qui devient P(k+1|k) et P(k+1|k) qui devient P(k+1|k+1)
for (i=0; i<4; i++)
{
for (j=0; j<4; j++)
{
P[i][j]=P2[i][j];
}
}
/// La matrice X doit contenir la position filtrée ///
}
t = cpt * dt;
dx = (xobs - oldx)/dt;
dy = (yobs - oldy)/dt;
fprintf(Fout,"%f\t%f\t%f\t%f\t%f\t%f\t%f\t%f\t%f\n",t,xobs,yobs,sqrt(dx*dx+dy*dy)*dt,X[0][0],X[1][0],X[2][0],X[3][0],sqrt(X[2][0]*X[2][0]+X[3][0]*X[3][0])*dt);
oldx = xobs;
oldy = yobs;
cpt ++;
}
fclose(Fout);
fclose(fichier);
system ("gnuplot -p -e \"plot 'output.dat' u 5:6 w l, '' u 2:3 w l\";");
system ("gnuplot -p -e \"plot 'output.dat' u 1:9 w l, '' u 1:4 w l\";");
system ("gnuplot -p -e \"plot 'output.dat' u 9 w l , 'vitesse_reelle.dat' u 2 w l\";");
return 0;
}

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