Transfer function of cascaded filters

In summary, the problem is to find the transfer function H(s) using two methods: nodal analysis with Cramer's rule and decomposing the filter into two sections. Despite the transfer functions being similar, the denominators differ by a single term, indicating a loading effect. This can be minimized by setting the impedance of the L-R stage to be much larger than the impedance of the C-R stage. Cramer's rule is a method for solving simultaneous linear equations using determinants.
  • #1
FrankJ777
140
6
1. Problem statement
Find the transfer function , H(s) by two methods. Use Nodal analysis with Cramer's method, and decompose into simpler sections and use the property, H(s) = H1(s) * H2(s).

Homework Equations


H(s) = H1(s) * H2(s)
H(s) = Vout/Vin
Cramer's Rule. X = Dx/D : where D is the determinant and Dx is the determinate with the x column.[/B]

The Attempt at a Solution


I used nodal with Cramer's Method, and decomposed into to sections. The transfer functions were similar but the denominators differ by a term, and I don't know why.

First using nodal with Cramer's method. [/B]
s4p6wy.jpg

Then decomposing the filter into two filters, finding H(s)1,H(s)2, then H(s)=H(s)1xH(s)2.
2605xmf.jpg

Here are the two transfer functions. You can see that they differ by a single term in the denominator, GL/sL circled in red.
149tms9.jpg

I'm sure they should be the same, but I'm not sure where I'm going wrong. Can anyone point me in the right direction?
Thanks a lot.
 
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  • #2
FrankJ777 said:
Then decomposing the filter into two filters, finding H(s)1,H(s)2, then H(s)=H(s)1xH(s)2.

Separated the two transfer functions, H(s)1 and H(s)2, are correct. But when you connect the filters, the input of (2) will load the output of (1).
Thus the transfer function H(s)1 will depend on L and RL.

( I don't know Cramers method. )
 
Last edited:
  • #3
To treat it as two simple transfer functions and apply H = H1 x H2
there must exist a buffer amplifier between the two. Without that buffer stage, the signal output of filter 1 is determined not only by the CR elements in filter 1 but also by the elements in the second filter (the so-called 'loading' effect). This absence of a buffer stage means you cannot separate the network into independent blocks; it must be analysed as a whole.

The only way you may be able to justify analysing the network as a pair of independent filters is if you ensure the loading effect is minimal by setting the impedance of the L-R stage to be >> the impedance of the C-R stage. The result will still be an approximation, and this is rarely acceptable in any filter application.
 
  • #4
http://www.learnabout-electronics.org/Amplifiers/images/Zin-Zout.gif

Lets look at two amplifiers, a1 and a2. they are connected in series, with the output of a1 going into a2.
each amplifier has a input resistance Rinx and an output resistance Routx

the gain of source 1 will be dependant upon the relationship between the output resistance of source 1, and the input resistance of source 2. the relationship is essentially a voltage divider.

Since our source is a perfect voltage source, it has zero output impedance, so the input gain will be 1.

the output of stage one will be
H1=a1*Rin2 /(Rin2+Rout1)

now knowing that, how would you proceed with your system?
 
  • #5
Post 2 is right-on. Go with it.
@Hesch, cramer's rule is just a way of solving simultaneous linear equations using determinants.
www.purplemath.com/modules/cramers.htm
 

1. What is a transfer function of cascaded filters?

A transfer function of cascaded filters is a mathematical representation of the relationship between the input signal and the output signal of a series of filters that are connected in cascade. It describes how the filters affect the input signal and can be used to analyze the frequency response of the system.

2. How is the transfer function of cascaded filters calculated?

The transfer function of cascaded filters is calculated by multiplying the individual transfer functions of each filter in the cascade. This is known as the cascade rule and is based on the fact that the output of one filter becomes the input of the next filter in the cascade.

3. What are the advantages of using cascaded filters?

There are several advantages to using cascaded filters, including the ability to achieve a more precise frequency response by combining multiple filters with different characteristics, the ability to create complex filter responses that cannot be achieved with a single filter, and the ability to reduce noise and distortion in the output signal.

4. Can the transfer function of cascaded filters be modified?

Yes, the transfer function of cascaded filters can be modified by changing the order and type of filters in the cascade, as well as adjusting the parameters of each individual filter. This allows for flexibility in designing a system with a desired frequency response.

5. How does the transfer function of cascaded filters affect the overall system performance?

The transfer function of cascaded filters plays a critical role in determining the overall performance of the system. It affects the frequency response, gain, phase shift, and other characteristics of the system. A well-designed cascade of filters can improve the overall performance of the system, while a poorly designed one can introduce unwanted distortions and affect the signal quality.

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