Link between Genetic Algorithm ga and Simulink

I tried my ga optimization on a quasi-static problem, it works. Now I am working on a dynamic model so I should use a simulink model.

x represents a vector for one variable; x=size(1,16); it represents the number of PV panels connected to the system; horizon time=16. sampling time=1;

Pbatt=x*Psource-Pload represents the input of my simulink model. (Psource and Pload are given)

I have 2 functions and one script in matlab: one function for the objective function, one function for the constraints, and one script 'optbatt.m' for the minimization where I wrote my ga and called my both functions.

Referring to my simulink model of the battery I can calculate the current and the state of charge SOC of the battery then use this SOC to calculate my objective function and the constraints.

PS: In ga algorithm I don't need to give initial points for x.

So my question is:

1-Where should I put my sim command in objective and constraints functions or in my minimization script 'optbatt.m' ?

2- How can I link between my 'optbatt.m' and simulink and have the value of current and SOC from simulink to use in my functions?

3- How Simulink will work if x is not defined it will be calculated via ga? because at each run an error message appears: x variable undefined!

Answer 1

[Alan Weiss]

I am no expert in Simulink®, but perhaps some documented examples might show how to link (Global) Optimization Toolbox solvers to Simulink:

Using fminimax with a Simulink® Model

lsqnonlin with a Simulink® Model

Good luck,

Alan Weiss

MATLAB mathematical toolbox documentation

[RA]

Thank you!

Answer 2

[oussama kharroubi]

Hi @RA,

I am currently working on the same project, would you please provide me with your source code and simulink design? I'd be grateful and thank you.

here's my email: [e-mail]