# Transfer function of a bandpass filter

I have to calculate the symbolic transfer function of this bandpass filter. I tried to do the calculations, but I would like, if it were possible, to check them out and let me know if the transfer function is well calculated.    • If you have access to Mathematica, simply input the various node equations, and let that tool compute the transfer function. – analogsystemsrf Apr 16 '17 at 8:39
• @analogsystemsrf I do not have access to Mathematica and I have to deliver the resolution of this exercise done analytically. I did not want to make a bad figure in front of my teacher. Could you please check if the calculations are correct, please? Thanks in advance for your attention – Carmen González Apr 16 '17 at 12:24
• @Carmen González: Mathematica (or other symbolic mathematics tools) do solve it analytically, i.e. as (intermediate or final) results you get mathematical expressions; and BTW you don't need Mathematica; you can use e.g. sympy, a free symbolic maths package for python. See my post. – Curd Apr 21 '17 at 12:53

The formula you have derived using KCL and KVL looks correct. However, the result you have obtained is completely untractable in the sense that you cannot distinguish poles, zeros or gains. In other words, your transfer function is a high-entropy form whereas a low-entropy form is desirable. The expression kindly offered by Subas Thomas using Mathematica approaches this format but it can still be further factored in a simpler form. To show how to proceed, we need to invoke the fast analytical circuits techniques or FACTs. To use these techniques, you determine and combine all time constants of the circuit when studied in two different configurations: stimulus reduced to 0 ($V_{in}=0\;V$) and the response ($V_{out}$) is nulled despite the excitation presence. To proceed with this example, I have recaptured your circuit using the labels you have put in your original schematic: By looking at this circuit, I can count two energy-storing elements $C_1$ and $C_2$, this is a second-order circuit. The denominator of the transfer function will follow the form: $D(s)=1+s(\tau_1+\tau_2)+s^2\tau_2\tau_{21}$ in which $\tau_1$ and $\tau_2$ are the time constants involving $C_1$ and $C_2$ when the excitation is 0 V and $\tau_2\tau_{21}$ in which $\tau_{21}$ is the time constant associating $C_1$ while $C_2$ is replaced by a short circuit.

The numerator is a bit more complex and can be written in a generalized manner as: $N(s)=H_0+s(H_1\tau_1+H_2\tau_2)+s^2H_2H_{21}$ in which the $\tau$ are those of $D(s)$ and the $H$ are simple dc gains determined when $C_1$ or/and $C_2$ are replaced by short circuits. When you assemble all these elements, you have your transfer function in a well-ordered form.

Let's start with the dc gain, $H_0$. Open all caps and solve the transfer function considering infinite-gain op amps. To simplify the analysis, I can consider the network made of $R_4$ and $R_5$ as a divider $k_1$ equal to $k_1=\frac{R_5}{R_5+R_4}$ and biasing the (+) pin with $k_1V_{out}$. If you analyze the circuit for $s=0$, the gain $H_0$ is 0. Now, replace $V_{in}$ by a short circuit (reduce the excitation to 0) and "look" at the resistance driving $C_1$. In other words, you inject a current source $I_T$ across $C_1$ terminals and determine the voltage $V_T$ you obtain. The ratio of these two variables leads to the time constant $\tau_1=0$ considering infinite open-loop gains for the op amps. If you do the same for $\tau_2$, you should find $\tau_2=C_2\frac{R_2R_3k_1}{R_1(1-k_1)}$. The second time constant uses $\tau_2$ and $\tau_{21}$. For this last one, replace $C_2$ by a short circuit and determine the resistance driving $C_1$ in this mode (the excitation is still 0 V for the study of $D$). If you do the maths ok, you should find $\tau_{21}=R_1C_1$. This is it, we have our denominator: $D(s)=1+s\tau_2+s^2\tau_2\tau_{21}=1+sC_2\frac{R_2R_3k_1}{R_1(1-k_1)}+s^2C_2\frac{R_2R_3k_1}{R_1(1-k_1)}R_1C_1$. For the numerator, we have $H_0$ which is 0. We know that if we short $C_1$ to get $H_1$ then we also have 0 in the output. And if we short $C_1$ and $C_2$ to get $H_{21}$, we will also get 0. The only gain we have to determine is when $C_2$ is replaced by a short circuit. You can go with a separate schematic as in here to obtain the result: And if you do the maths ok, again considering infinite open-loop gains, you should find $H_2=\frac{1}{k_1}$. Cool, we have the entire transfer function now since $N(s)$ is a single-element expression:

$H(s)=\frac{s\frac{C_2R_2R_3}{R_1(1-k_1)}}{1+sC_2\frac{R_2R_3k_1}{R_1(1-k_1)}+s^2C_2\frac{R_2R_3k_1}{R_1(1-k_1)}R_1C_1}=\frac{\frac{s}{\omega_z}}{1+\frac{s}{\omega_0Q}+(\frac{s}{\omega_0})^2}$

If now factor the term $\frac{s}{\omega_z}$ in the numerator and $\frac{s}{\omega_0Q}$ in the denominator then rearrange, you obtain a true low-entropy transfer function defined as:

$H(s)=H_{00}\frac{1}{1+Q(\frac{s}{\omega_0}+\frac{\omega_0}{s})}$

in which: $Q=\sqrt{\frac{R_1C_1}{C_2(\frac{R_2R_3k_1}{R_1(1-k_1)})}}$, $\omega_0=\frac{1}{\sqrt{C_2C_1\frac{R_2R_3k_1}{(1-k_1)}}}$ and $H_{00}=\frac{1}{k_1}$

When all of these terms are captured in a Mathcad sheet, you obtain the below graphs Of course, it will be tough to show these equations to your teacher : ) However, the takeaway is that obtaining a transfer function for a pure numerical application is ok - regardless of the method. However, what truly matters is the low-entropy well-ordered form which tells you what terms contribute gains, poles and zeros. Without this arrangement, there is no way you can design your circuits to meet certain goals. To my opinion, the FACTs are unbeatable to obtain these results. As a student, I encourage you to acquire that skill because once you have it, you won't go back to the classical approach. You can discover FACTs further here

and also through examples published in the introductory book

Good luck with this circuit!

• Very nice and complet answer – M.Ferru Apr 21 '17 at 13:19

you can use sympy, a free symbolic maths package for Python:

I've prepared an annotated step by step solution for your problem. You can use it to verify your (final or intermediary) results and adapt it for other problems:

# Deriving the transfer function of a Band Pass filter
# using symbolic mathematics package sympy:

from sympy import *

# (1) Define symbols (s, R's, C's and V's)
s = Symbol('s')
R1, R2, R3, R4, R5 = symbols('R1 R2 R3 R4 R5')
C1, C2 = symbols('C1 C2')
Vin, Vout, Vx, Vy = symbols('Vin Vout Vx Vy')

# (2) Define generically impedance of C:
def Xc(C): global s; return 1 / (s * C)

# (3) Define impedance of C's:
X1 = Xc(C1)
X2 = Xc(C2)

# (4) Define currents:
i1  = (Vin  - Vx) / R1
iC1 =         Vx  / X1
i2  = (Vx - Vy  ) / R2
iC2 = (Vy - Vx  ) / X2
i3  = (Vx - Vout) / R3
i4  = (Vout - Vx) / R4
i5  =         Vx  / R5

# (5) Solve nodal equation system:
solvedEqSystem = solve([
i1 - (iC1 + i2), # equation (1)
iC2 - i3,        # equation (2)
i4 - i5          # equation (3)
],
[Vout, Vx, Vy]
)

# (6) Divide expression for Vout by Vin to get the transfer function
#     H(s) := Vout(s)/Vin(s)
H = solvedEqSystem[Vout] / Vin

# (7) Collect same powers of s:
H = collect(H, s)

# (8) Show final result:
print H


Result:

C2*R2*R3*s*(R4 + R5)/(C1*C2*R1*R2*R3*R5*s**2 + C2*R2*R3*R5*s + R1*R4)


Your answer looks correct. Here is the screenshot of the Mathematica calculations: And the input form of the code:

ExpandDenominator[First[Subscript[V, 0]/Subscript[V, i] /.
Solve[{(Subscript[V, i] - Subscript[V, x])/Subscript[R, 1] ==

Subscript[V, x]/(1/(Subscript[\[ScriptCapitalC], 1]*s)) +
(Subscript[V, x] - Subscript[V, y])/
Subscript[R, 2],
(Subscript[V, y] -
Subscript[V,
x])/(1/(Subscript[\[ScriptCapitalC], 2]*s)) ==
(Subscript[V, x] - Subscript[V, 0])/Subscript[R, 3],
(Subscript[V, 0] - Subscript[V, x])/Subscript[R, 4] ==
Subscript[V, x]/Subscript[R, 5]} /.
Subscript[R, i_] :>
1/Subscript[G, i], {Subscript[V, 0], Subscript[V, x],
Subscript[V, y]}]]]