Effects of Noise on Frequency Response Estimation

Compare the linear model obtained using exact linearization techniques with the estimated frequency response:

mdl = 'f14';
open_system(mdl)
io(1) = linio('f14/Sum1',1)
io(2) = linio('f14/Gain5',1,'out')
sys = linearize(mdl,io);
in = frest.Sinestream(sys);
[sysest,simout] = frestimate(mdl,io,in);
frest.simView(simout,in,sysest,sys)

The resulting frequency response does not match the linearization results due to the effects of the Pilot and Wind Gust Disturbance blocks. To view the effects of effects of the noise on the time response of the first frequency, right-click the time response plot and select Show filtered steady state output only.

Locate the source blocks:

srcblks = frest.findSources(mdl,io);

Repeat the frequency response estimation with the source blocks disabled:

opts = frestimateOptions('BlocksToHoldConstant',srcblks);
[sysest,simout] = frestimate(mdl,io,in,opts);
frest.simView(simout,in,sysest,sys);

The resulting frequency response matches the exact linearization results.

Effects of Time-Varying Source Blocks on Frequency Response Estimation

Estimating Frequency Response Models with Noise Using Signal Processing Toolbox

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