Band Stop Filter Charging Transient

An R L C RLC band stop filter takes a sinusoidal voltage input V S ( t ) V_S(t) and produces an output voltage V o u t ( t ) V_{out} (t) .

V S ( t ) V_S(t) is as follows:

V S ( t ) = 10 sin ( t ) V_S(t) = 10 \sin(t)

At time t = 0 t = 0 , the inductor and capacitor are de-energized. Determine the following integral:

0 15 π V o u t ( t ) d t \int_0^{15 \pi} V_{out} (t) \, dt

Details and Assumptions:
1) R = 3 R = 3
2) L = 1 L = 1
3) C = 1 C = 1

Note: From AC steady-state analysis, we know that sinusoidal signals with angular frequency ω = 1 \omega = 1 are completely rejected by this filter, once the filter has "charged up"


The answer is 10.0.

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1 solution

Karan Chatrath
Dec 15, 2019

Let the current through the inductor be I 1 I_1 and that through the capacitor be I 2 I_2 , the charge on the capacitor be Q Q and output voltage be V V . The circuit equations are:

V S + L I ˙ 1 + ( I 1 + I 2 ) R = 0 -V_S + L\dot{I}_1 + (I_1+I_2)R=0 L I ˙ 1 = Q C L\dot{I}_1=\frac{Q}{C} V = ( I 1 + I 2 ) R V= (I_1+I_2)R I 1 ( 0 ) = I 2 ( 0 ) = Q ( 0 ) = 0 I_1(0) = I_2(0) = Q(0) = 0

Numerically integrating the above equations gives the required answer of 10.002 \approx\boxed{10.002} .


I am pasting my solution to the frequency domain problem without revealing the answer below:

The circuit has been analysed in steady-state. Let the magnitude of input voltage be V V and its frequency be ω \omega . The impedance due to the inductor is Z 1 = j ω L Z_1=j\omega L and that due to the capacitor is Z 2 = 1 j ω C Z_2=\frac{-1}{j\omega C} . Let the steady-state current through the inductor be I 1 I_1 and that through the capacitor be I 2 I_2 . The circuit equations are according to Kirchoff's laws as follows.

Z 1 I 1 + ( I 1 + I 2 ) R = V Z_1I_1 + (I_1 + I_2)R = V Z 1 I 1 = Z 2 I 2 Z_1I_1 = Z_2I_2

Rearranging these equations gives:

[ Z 1 + R R Z 1 Z 2 ] [ I 1 I 2 ] = [ V 0 ] \left[\begin{matrix}Z_1+R&R\\Z_1&-Z_2\end{matrix}\right]\left[\begin{matrix}I_1\\I_2\end{matrix}\right]=\left[\begin{matrix}V\\0\end{matrix}\right]

From here, the currents can be computed as such:

[ I 1 I 2 ] = [ Z 1 + R R Z 1 Z 2 ] 1 [ V 0 ] \left[\begin{matrix}I_1\\I_2\end{matrix}\right]=\left[\begin{matrix}Z_1+R&R\\Z_1&-Z_2\end{matrix}\right]^{-1}\left[\begin{matrix}V\\0\end{matrix}\right]

The matrix is denoted as A where: A = [ Z 1 + R R Z 1 Z 2 ] A = \left[\begin{matrix}Z_1+R&R\\Z_1&-Z_2\end{matrix}\right]

The output voltage is: V o = R ( I 1 + I 2 ) V_o = R(I_1 + I_2)

The filter gain is, therefore, the ratio of the magnitude of the complex numbers:

G ( ω ) = V o V G(\omega)= \left\lvert \frac{V_o}{V} \right\rvert

Now, keeping these steps in mind, the=is problem is solved numerically. A plot of the magnitude response can be studied below:

One can see a sharp drop in magnitude ratio at a frequency of ω = 1 \omega = 1 . This can be verified by a time-domain simulation where the output voltage indeed converges to zero.

For the computation of the required integral, simulation code is attached below:

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clear all
clc

% Initialisation:
R = 3;
L = 1;
C = 1;

% Frequency range definition:
dw = 1e-4;
w  = dw:dw:5;
N  = length(w);

% Initial value of required integral:
S  = 0;

% Frequency ranges from dw (instead of zero) to 5 rad/sec in steps of dw to prevent any singularities.

% Here, j = sqrt(-1)..

for k = 1:length(w)

    % Computing the matrix A:
    Z1 = j*w(k)*L;
    Z2 = -j/(w(k)*C);
    A  = [Z1+R R;Z1 -Z2];

    % Computing the current column matrix and assuming that the amplitude of input voltage is unity:
    I  = inv(A)*[1;0];

    % Computation of output voltage magnitude which is also the Magnitude ratio in this case:
    G(k) = abs(R*(I(1)+I(2)));

    % Numerical integration of the required function:
    f  = 1 - G(k);
    S  = S + dw*f;
end

% Plotting frequency response:
plot(w,G,'Linewidth',1.5)
grid on
xlabel('Frequency [rad/sec]')
ylabel('G(\omega)')
title('Frequency Response - Magnitude Response')

Thanks for the detailed solutions to this problem set. I kind of had fun seeing the correspondence between the frequency domain and time domain results.

Steven Chase - 1 year, 5 months ago

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Ya, so did I. In fact, the time domain analysis validated my result for the frequency domain problem. Thanks for posting

Karan Chatrath - 1 year, 5 months ago

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