Resonate Frequency of Bandpass Filter

AI Thread Summary
The discussion focuses on understanding the resonant frequency of a bandpass filter, specifically the formula w0=1/RC. The original poster is confused about their calculation method, which led to an incorrect result of j√2. Participants emphasize the importance of examining the transfer function H(s) and its relation to the general second-order system to determine natural frequency (Ѡn) and quality factor (Q). There is caution against relying on shortcuts without proper justification, and a recommended resource is provided for further learning about filter characteristics. Overall, the conversation highlights the need for a clear understanding of filter dynamics and their mathematical representation.
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Homework Statement



See attached.

Can somebody explain how the resonant frequency w0=1/RC. I worked it out by setting imaginary Z(s)=0. The answer I get is j√2 which is obviously wrong. Is it wrong to calculate the resonant frequency in this manner in this case?


Homework Equations





The Attempt at a Solution



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For a bandpass function, as with any filter, we are interested in Vout/Vin. So they derived this transfer function as H(s) near the bottom of the solution. Are you able to examine that denominator and by relating it to the general second order system describe Ѡn and Q here? (Or the damping ratio, ζ zeta)?

As for your approach, I'm cautious about endorsing shortcuts. But I think it might be valid, thereby allowing you to determine Ѡn at least. But you haven't indicated how you changed Z(s) to something with imaginary terms, so that needs to be checked.
 
NascentOxygen said:
For a bandpass function, as with any filter, we are interested in Vout/Vin. So they derived this transfer function as H(s) near the bottom of the solution. Are you able to examine that denominator and by relating it to the general second order system describe Ѡn and Q here? (Or the damping ratio, ζ zeta)?

As for your approach, I'm cautious about endorsing shortcuts. But I think it might be valid, thereby allowing you to determine Ѡn at least. But you haven't indicated how you changed Z(s) to something with imaginary terms, so that needs to be checked.

Are you able to examine that denominator and by relating it to the general second order system describe Ѡn and Q here? (Or the damping ratio, ζ zeta)?

No. Are you aware of a good internet resource which explains it?
Thanks for your help
 
Towards the end of this article: http://www.swarthmore.edu/NatSci/echeeve1/Ref/FilterBkgrnd/Filters.html

they state that the second-order filter denominator takes the form:

https://www.physicsforums.com/images/icons/icon2.gif s² + (Ѡn/Q)s + Ѡ²n

where (Ѡn/Q) is the bandwidth, with Q being the "Q-factor" of the system.

It's well worth memorizing this expression, and what the co-efficients mean.

If you prefer the corresponding one from control theory, it's: s² + 2ζѠns + Ѡ²n
where zeta is the co-efficient of damping and you can see ζ=1/(2Q)
 
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Thanks for that. Makes things somewhat easier than how I was doing it.
 
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