How to find Angle of Impedence?
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Hello,
I am using fft to find amplitude of current and amplitude of voltage seperately.And then using angle command to determine angles of them respectively.But now I want to find Angle of Impedence as well,For that I am dividing the voltage amplitude by current amplitude and fortunately getting the correct impedence as well.But after that when i try to find the angle of Impedence I am not getting the correct angle.Could some body tell me why I am not getting the correct angle?.What is the problem or what should i need to do?. Thanks in advance.
For Example.
Impedence=(AmplitudeV/AmplitudeI);
Theta=angle(Impedence);
Is it the correct way to find Impedence using fft?
Please note that I am a new user of MATLAB,So apologies in advance if you feel that question is very basic.
7 Comments
Mathieu NOE
on 16 Mar 2023
Edited: Mathieu NOE
on 16 Mar 2023
hello
doing a impedance measurement (or simulation) is basically making a transfer function estimate between your current and voltage
you can use the matlab function tfestimate for that (Signal Processing Toolbox required)
the test signal must cover the entire frequency range of interest (chirp or random signals are the two most common used)
the result is a complex FRF (frequency response function) , you will take the amplitude and phase of it (with abs and angle functions)
Muhammad Hamza
on 20 Mar 2023
Mathieu NOE
on 20 Mar 2023
hello
I am still unsure what your are doing and how you do the phase computation
are you doing it by using angle(fft(Voltage)./fft(current)) ?
Muhammad Hamza
on 20 Mar 2023
Mathieu NOE
on 20 Mar 2023
ok
and you get now the right angle ?
Muhammad Hamza
on 20 Mar 2023
I am not certain what you are actually doing.
Consider something like this —
Fs = 1000; % Sampling Frequency (Hz)
t = linspace(0,10*Fs-1,10*Fs).'/Fs; % Assume Column Vectors
% Check = 1/(t(2)-t(1))
Fr = 250; % Signal Frequency
I = sin(2*pi*Fr*t); % Current Signal
V = 10*cos(2*pi*Fr*t); % Voltage Signal
Fn = Fs/2; % Nyquist Frequency (Hz)
L = numel(t); % Signal Length
NFFT = 2^nextpow2(L); % For Efficiency
FT_V = fft(V.*hann(L), NFFT)/L; % Voltage Fourier Transform (Windowed)
FT_I = fft(I.*hann(L), NFFT)/L; % Current Fourier Transform (Windowed)
Fv = linspace(0, 1, NFFT/2+1)*Fn; % Frequency Vector (One-Sided Fourier Transfomr)
Iv = 1:numel(Fv); % Index Vector (For Convenience)
figure
subplot(2,1,1)
plot(Fv, abs(FT_V(Iv))*2)
grid
ylabel('Magnitude')
subplot(2,1,2)
plot(Fv, rad2deg(angle(FT_V(Iv))))
grid
ylabel('Phase (°)')
sgtitle('Voltage')
figure
subplot(2,1,1)
plot(Fv, abs(FT_I(Iv))*2)
grid
ylabel('Magnitude')
subplot(2,1,2)
plot(Fv, rad2deg(angle(FT_I(Iv))))
grid
ylabel('Phase (°)')
sgtitle('Current')
FT_Z = FT_V ./ FT_I;
figure
subplot(2,1,1)
plot(Fv, abs(FT_Z(Iv))*2)
grid
ylabel('Magnitude')
subplot(2,1,2)
plot(Fv, rad2deg(angle(FT_Z(Iv))))
grid
ylabel('Phase (°)')
sgtitle('Impedence')
Windowing the Fourier transform reduces the amplitude of the resulting peaks by ½.
.
Accepted Answer
More Answers (1)
Swaraj
on 4 Apr 2023
0 votes
You should take into consideration that there can be phase difference between the voltage and the current signals. One way is to use the complex Impedance Formula. It can be calculated as the ratio of the complex Voltage to Complex Current.
Z = V/I
Here V and I are Complex Numbers.
Then try using the angle function as “angle(Z)”.
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