About Feedback Theory:

What's the feedback?

It is an electronic technique, known in the control theory, which consists in taking a piece of the output signal and bringing it back at the input of the system.

 

The advantage of this technique is:

- Check that the system operate correctly;

- Force the system to correct the output if required;

- Immunize the system agaist disturbs & noise;

- Increse the sensibility of the system;

- Increse or Decrese of Input/Output Immitance;

 

How study this technique?

There are several ways, methods or theorems to study, analyze and design a feedback network; the most famous is the Classical approach presented in a lot of engineering books (as Jacob Millmann's ones). A limitation of this method is often that it's required that the feedback network is Unidirectional network.

This is a strong way to force the study and several problems can rise-up, especially in HF or μwaves applications.

 

I have read a lot of papers in which several solutions are presented, but often, the formalism is very strict and weighty. One year ago I learned about prof. Bruno Pellegrini [14] and his papers... In this article i want to share with you a summary of these studies, I hope that this will be useful for you as it was for me.

 

The method is based on the Cut-Insertion Theorem that permits to find a transformation of a generic network into an equivalent one which is simpler. The generic network is transformed in a TTC (three terminal circuit) and this network permits to calculate easily the main properties (α, A, β).

We can consider the generic network N as showed in fig.1 and the trasformed network N' in fig.2

fig.2
fig.2

For the equivalence of two generic networks it's necessary to determinate the constraints of N', in particular its quantities (Wr & Wp), which guarantee the equivalence of TTC with N.

Such equivalence is assured if and only if, for any input:

Wr = Wp    &    Wr' = Wp'.

The notation is inspired to the original papers of prof. Pellegrini and W is intended as voltage or current and the " ' " as dual. In the pictures above we can see voltages Vr and Vp and currents Ir' and Ip'.

For the conditions above and the networks showed:

Vr=Vp   & Zp=Vp/Ip  (from Ir=Ip)

In this way we open the ring and we can find the network equations  defined, from the superposition theorem, for Vp=0 & Vin=0.

In particular for Vp=0: 

α =Vr/Vin,    γ= Vout/Vin,    ρ=Ip/Vr

And for Vin=0:

Zp=Ip/Vp,   A=Vout/Vp,     β=Vr/Vout

 

It is important to notice the arbitrariness of the cut, and also that the function ρ is a null function, otherwise the method doesn't simplify the analysis because the ring remains closed. For this reason it is convenient to verify this condition and eventually to find a new cut.

Founded the network's equation we can calculate the global tranfer function finding:

Vout/Vin= αA/(1-βA) + γ

The main difference with classical approach is the function gamma. It's assumed a non-null value if the feedback network is bidirectional (as in RF or μwaves applications). If the cut is a "good cut" the gamma function may be trascurable.

The βA is named (as you know) Ring-Gain and its value (in dB) is the Reaction Tax. If the ring-gain is negative the reaction is also negative, otherwise positive.

Examples:

We can see some, classic, example for try the method:

fig.3
fig.3
fig.4
fig.4

The network's functions:

For Vin=0

Zp=Vp/Ip=hie;

A=Vout/Vp= -hfe*Rc/hie;

 

Vr=-hfe*ib*Re//(Rb+Zp)* Zp/(Zp+Rb)= -hfe*ib * hie*Re/(hie+Re+Rb)

Vout=hfe*ib*Rc

Therefore β=Vr/Vout= hie Re/(Re+Rb+hie)Rc

 

For Vp=0

γ = ρ = 0  [γ= Vout/Vin,    ρ=Ip/Vr]  ,

α=Vr/Vin= Zp/(Rb+Zp+Re)= hie/(Rb+hie+Re)

 

At the end the gain af amplifier is:

Vout/Vin= αA/(1-βA)= hie/(Rb+Re+hie)* (-hfe*Rc/hie)* 1/[1+(hfe*Rc/hie)* hie*Re/Rc(Re+Rb+hie)]

 

If 1 is minor of (hfe*Rc/hie)* hie*Re/Rc(Re+Rb+hie) we can write:

Vout/Vin = - Rc/Re

 

As you can see we refind the result of classical approach !!!

When I have a minute ( ... ), I will insert others examples.

References

[14] Prof. Bruno Pellegrini - Pisa's University - Improved feedback theory