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Here is the circuit schematic.

enter image description here

Consider Loading effect in feedback and break the loop.

enter image description here

Simplify the circuit.

enter image description here

$$A_{v,open} = \frac{V_{out}}{V_{in}} = -\frac{g_{m1} R_F R_D} {R_S +R_F}$$

Calculate \$\beta\$ in two port feedback network.

enter image description here

$$ \beta = g_{21}=\frac{V_2}{V_1} |_{I_2 = 0} = 1 $$

$$\Rightarrow LG = A_{v,open} \beta = -\frac{g_{m1} R_F R_D} {R_S +R_F}$$

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  • \$\begingroup\$ Didn't the author already do this in Figure 8.63? \$\endgroup\$ Commented Jun 6, 2024 at 13:21
  • \$\begingroup\$ @internet Yeah, He replaced the source voltage with Norton equivalent current source. I wan t to know if it is possible to analyse this circuit with loading effect without using Norton? \$\endgroup\$ Commented Jun 6, 2024 at 14:12
  • \$\begingroup\$ if you don't like Norton just keep it like that and do exactly the same. \$\endgroup\$ Commented Jun 6, 2024 at 14:29
  • \$\begingroup\$ @internetI am confused. Is my analysis here correct? What is the same? \$\endgroup\$ Commented Jun 6, 2024 at 14:31
  • \$\begingroup\$ @internet I am confused. I think I already did analysis in this post as you suggested . Is my analysis here correct? \$\endgroup\$ Commented Jun 6, 2024 at 16:31

1 Answer 1

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In case we open the loop at the gate there will be no (remarkable) loading effect.

enter image description here

In this case, the open-loop gain (between gate and drain node with Vin=0) will be

$$A_{open}=-g_m [R_D \parallel(R_F +R_S)] $$

Hence, the gain between the gate and the node between Rs and Rf (the loop gain LG) is

$$LG =-\frac{R_S} {R_S + R_F} A_{open} = -g_m \frac{R_D R_S} {R_D+R_F+R_S} $$

EDIT: CALCULATION OF THE CLOSED-LOOP GAIN Acl

Comment: In the above calculation the gain Aopen (between gate and drain) is NOT identical to the gain Aol (between the circuits input and drain) which appears in the classical feedback expression and which is part of the loop gain. Hence, it will be calculated in the following. For this purpose, we realize that the output voltage at the drain node consists of two parts:

enter image description here

1.)

$$V_{out1} = \frac{R_D} {R_D + R_S + R_F} V_{in} \text{(caused directly through $R_S$ and $R_F$)}$$

enter image description here

2.) $$V_{out2}=-g_m \bigr[R_D \parallel (R_S + R_F)\bigr] V_G \text{(caused by the FETs current source)}$$

with $$V_G =V_{in} \frac{(R_F + R_D)} {(R_D + R_S + R_F)}$$

3.) From this, the gain Aol (open loop without feedback effect) can be found to be

$$A_{ol} = \frac{(V_{out1} + V_{out2})} {V_{in}} =...... = \frac{R_D (1-g_m R_F)} {(R_D + R_S + R_F)}$$

4.) Together with the loop gain LG we can find the closed-loop gain Acl:

$$A_{cl} =\frac{A_{ol}}{(1-LG)}=......= \frac{R_D (1-g_m R_F)} {(R_D+R_S+ R_F + g_m R_D R_s)}$$

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  • \$\begingroup\$ How do you know \$\beta = \frac{R_s} {(Rs+RF)}\$ when the feedback network is composed of \$R_F, R_D\$? \$\endgroup\$ Commented Jun 9, 2024 at 13:25
  • \$\begingroup\$ @ kile - I did not say that this ratio is beta. I was interested in the loop gain only. I have computed the gain between gate and drain (opening at the gate with Vin=0). And - as a second step - the voltage division between Rs and Rf. That`s all. The "distribution" between gain without feedback and beta is another question (another definition depending on the opening point) \$\endgroup\$ Commented Jun 9, 2024 at 14:00
  • \$\begingroup\$ Without \$\beta\$, how can calculate close loop gain? Is there a way for you to calculate close loop gain in your method? \$\endgroup\$ Commented Jun 9, 2024 at 14:37
  • \$\begingroup\$ @ kile - why are you asking "without beta"? My "beta" is different from your "beta" - but this is not a problem. This is because I have opened the loop at another node. Thefore, I have another gain without feedback - but I can, of course, use the standard form for the closed-loop gain. \$\endgroup\$ Commented Jun 9, 2024 at 14:50
  • \$\begingroup\$ Can you continue your answer on how you calculate close loop gain? \$\endgroup\$ Commented Jun 9, 2024 at 15:03

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