Optimization of system ODE
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Hello Matlabers!
I'm using fsolve function for optimization of system of ODE. And I'm facing difficulty now. Could someone advise me with this please? I'm just beginner in using Matlab and I do appreciate your advise.
The functions file is expressed below.
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function fval= SimFnc(X)
%Initial values
dt=1/32;
g=9.8065;
t=1:2003; %number of points
%Importing data from STAT
STAT=importdata('STAT.txt');
nx= STAT(:,10);
ny= STAT(:,11);
nz= STAT(:,12);
Wx_d= STAT(:,7);
Wx_r=deg2rad(Wx_d);
% Wx = interp1(Wx_r,t);
Wy_d= STAT(:,8);
Wy_r=deg2rad(Wy_d);
% Wy = interp1(Wy_r,t);
Wz_d= STAT(:,9);
Wz_r=deg2rad(Wz_d);
Theda_iz=STAT(:,13);
Gamma_iz=STAT(:,14);
Theda_izr=deg2rad(Theda_iz);
Gamma_izr=deg2rad(Gamma_iz);
Alpha_iz=STAT(:,29);
Alpha_izr=deg2rad(Alpha_iz);
Beta_iz=STAT(:,30);
Beta_izr=deg2rad(Beta_iz);
V_iz =STAT(:,28);
%Initial values of Variables
Alpha(1)=0.1587/57.2958;
Beta(1)=0.0143/57.2958;
V(1)=58.0154;
Theda(1)=0.0025/57.2958;
Gamma(1)=0.0013/57.2958;
Erx=X(1);
Ery=X(2);
Erz=X(3);
Erv=X(4);
Erw=X(5);
%Calculating by Euler's method
for i=1:2002
ax=g*(nx(i)-sin(Theda(i)));
ay=g*(ny(i)-cos(Theda(i))*cos(Gamma(i)));
az=g*(nz(i)+cos(Theda(i))*sin(Gamma(i)));
csB=cos(Beta(i));
csBinv=1/csB;
ssB=sin(Beta(i));
csA=cos(Alpha(i));
ssA=sin(Alpha(i));
axv=ax/V(i);
ayv=ay/V(i);
azv=az/V(i);
Theda(i+1)=Theda(i)+dt*(((Wy_r(i)*Ery*sin(Gamma(i)))+(Wz_r(i)*Erz*cos(Gamma(i)))));
Gamma(i+1)=Gamma(i)+dt*((Wx_r(i)*Erx-(tan (Theda(i))*(Wy_r(i)*Ery*cos(Gamma(i))-Wz_r(i)*Erz*sin(Gamma(i))))));
Alpha(i+1)= Alpha(i)+ dt*( Wz_r(i)*Erz-csBinv*Erv(ssA*(axv-Wy_r(i)*Ery*ssB)+csA*(ayv+Wx_r(i)*Erx*ssB)) );
Beta(i+1)=Beta(i)+dt*( azv*csB-csA*(axv*Erv*ssB-Wy_r(i))+ssA*(ayv*ssB+Wx_r(i)*Erx) );
V(i+1)=V(i)+dt*(ax*csA*csB-ay*Erw*ssA*csB+az*ssB );
fval(1,1,:)=Theda;
fval(2,1,:)=Gamma;
fval(3,1,:)=Alpha;
fval(4,1,:)=Beta;
fval(5,1,:)=V;
end
end
The optimization file is expressed below.
-------------------------------------------------------
%Solving NLAE
clc
clear
zg=input('Enter initial guess');
format short g
%options = optimoptions('fsolve','Display','iter');
%options=optimoptions('fsolve','Algorithm','trust-region');
%options=optimoptions('fsolve','Algorithm','trust-region-dogleg');
options=optimoptions('fsolve','Algorithm','levenberg-marquardt');
%Sol=fsolve(@SimFnc,zg,options)
% @fncSi = @(t,y)myfun(t,y,Wx,Wy,Wz);
[X,fval,exitflag,output,hessian] =fsolve(@SimFnc,zg,options)
2 comentarios
Sargondjani
el 21 de En. de 2021
Editada: Sargondjani
el 21 de En. de 2021
It is not clear what your problem is. Also it is helpful if you provide a denser version of your question, 90% of your code just seems to define some parameters. (ie. provide a minimum working example).
Respuestas (2)
Sargondjani
el 22 de En. de 2021
It is still not clear what your problem is. Do you get an error? Do you get a different solution than you expected?
Anyway fsolve will try to find the zeros of the output, but your output are large vectors, so they can not all be zero by setting 5 parameters. In that case it is probably better to use the function 'lsqnonlin'.
Other notes:
- you should preallocate variables: Theda = NaN(1,2002+1); before the loop;
- if you use lsqnonlin, i would recommend to use output arguments in a matrix (not 3d array): fval(1,:) = Theda;
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