Hi,
For the longest time I have been using the sim() function within for loops to programatically execute Simulink simulatons with iteratively changing inputs. Per iteration, the loop hangs while the simulation is running (which seems to take the same amount of time as if I were to manually run a single simulation).
However, today I was doing some reading and found the set_param() function, which can also be used to start simulations. This no longer causes the for loop to hang and seems to just send 'i' number of calls to run the simulation almost at once.
My question is, why is set_param() so much faster than sim()?
Is this running the simulations in parallel or is it something more else, like defaulting to some kind of accelerated mode with a call to set_param()? I did have a try changing between execution modes, fast restart, etc. but sim() still seems to run one-by-one very slowly.
For reference, here is the sort of code I am using to run my simulations using a script:
for i = 1:length(f_xg)
trans(i,1) = i;
trans(i,2) = f_xg(i);
w_xg = 2*pi*f_xg(i);
ddx_g = -x_g*w_xg^2;
set_param('Multi_layer_isolator',"SimulationCommand","start");
end
Thanks in advance for any contributions.
p.s. If you found this post looking into how to speed up your simulations, you may be in luck. This has resulted in my simulations completing within 9% of the time needed previously, reducing average execution time down from 6.5 sec per to 0.6 sec per. With 100 iterations, for example, that is 10.8 mins down to 1 min flat. Amazing!
Cheers
