Reduce T-Network Feedback Resistance

AI Thread Summary
To reduce feedback resistance in a T-network, applying Thevenin's theorem is a valid approach, and it can help simplify the circuit analysis. While rearranging the resistance algebraically may yield some simplification, further reduction typically requires specific numerical values. It's recommended to express the circuit in the form G=NUM/DEN to clarify the relationships between components. Additionally, a star-triangle transformation can be utilized to eliminate resistors that do not affect the closed-loop gain. This method can effectively streamline the analysis and improve feedback resistance.
JasonHathaway
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Homework Statement


Reduce the feedback resistance for the following T-Network
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Homework Equations


Basic circuit analysis (Thevenin maybe?)

The Attempt at a Solution


My first though was to use Thevenin, and actually I've found some book used that method:
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The Thevenin approach looks fine. Did you have some question about it?
 
Thank you for your quick respond. My question is whether this approach OK or not. And if the feedback resistance can be reduced more.
 
JasonHathaway said:
Thank you for your quick respond. My question is whether this approach OK or not. And if the feedback resistance can be reduced more.
The approach is good, and I doubt that the resistance can be simplified further (other than rearranging it algebraically) without plugging in actual values to reduce it to a number.
 
JasonHathaway said:
Thank you for your quick respond. My question is whether this approach OK or not. And if the feedback resistance can be reduced more.
Typically it is a good idea to get it in the form of

G=NUM/DEN.

in other words, simplify to get rid of R2*R3/R4 in the Numerator
 
As an alternative, you can apply the star-triangle transformation.
After applying this transformation there will be two resistors which do not influence the closed-loop gain (and can be neglected).
 

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