I have a two-column matrix of data obtained from NI-DAQ. The first column is the output data of a motor-generator set (with driver) and the second column is the input data (square wave). I want to find the transfer function using tfest without Simulink. Is it possible? I have System Identification Toolbox.
How can I attach a .mat file to this post? My data on gist https://gist.github.com/anonymous/6484844
You already got the right idea, I don't know where you got stucked. Here is the code which solves your problem, I tested it, its works fine. Be aware that a simpler input probably gets you better results, that means for example a single step instead of a square wave.
% load your data (text file with your two columns)
load data.txt;
% sample index, reducing of input to get single step instead of square wave
x = 1:1:length(data);
data(x > 2900,:)=[];
x(x > 2900)=[];
% plot data
figure(1)
plot(x,data(:,1)); hold on
plot(x,data(:,2)); hold off
% prepare data for tftest, 100 is a random chosen sampling time
tfdata = iddata(data(:,1),data(:,2),100);
% estimate system, factor 5 -> number of poles (variable as desired)
sys = tfest(tfdata,5);
% plot step response (factor 5 comes from input)
figure(2)
step(5*sys)
Edit: the output for number of poles np=5:
sys =
From input "u1" to output "y1":
-3.337e-05 s^4 + 1.326e-07 s^3 + 1.639e-11 s^2 + 1.221e-14 s + 1.064e-19
----------------------------------------------------------------------------
s^5 + 0.005287 s^4 + 1.516e-06 s^3 + 4.517e-10 s^2 + 2.896e-14 s + 2.037e-19
Edit#2: in your previous question you were asking whether it would be better to use idfrd or iddata - but do you actually have the frequency response data? I actually don't think it should make a big difference, if you choose the number of poles high enough. Just try out what it's working better for you. The workaround is the same.