How can I get the FFT of a flat signal with a peak?
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Hello everyone,
I am an aerospace engineering student. I am working on a project in which I have a certain aircraft that must be solicited with an impulse that makes the elevator move with respect to its equilibrium position. I have assigned the command law in this way
global dE_eq %this value comes from a previous simulation that finds the trimmed position of the elevator
t_f = 120; %lenght of the command law
vBreakPointsT = [0, t_f/240, t_f/120, (3/200)*t_f, t_f/60,...
t_f/48, t_f/40, t_f/24, t_f/12,...
t_f/6, t_f*(5/6), t_f];
vBreakPointsD = [dE_eq, dE_eq, dE_eq, dE_eq, 2.5*dE_eq,...
dE_eq, dE_eq, dE_eq, dE_eq,...
dE_eq, dE_eq, dE_eq];
dE = @(t) interp1(vBreakPointsT, vBreakPointsD, t, "pchip");
and I would like to make a spectral analysis of dE(t), looking for the dominant frequency. Physically, does it make sense to implement an analysis with the default FFT tool? Thank you
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William Rose
2022-7-13
You are correct to have doubts about the interpretation of the FFT of dE(t), given that dE(t) is computed the way you have done it. You use the pchip method for doing the interpolation. The FFT of dE(t) will provide information about the frequency content of pchip rather than learning about the aircraft response. You can demonstrate that this is true by trying other methods for the interpolation, such as spline, linear, nearest.... You will see that the FFT is different when you use a different interpolation method.
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