Analog Electronics / Chapter 6

Feedback Amplifiers: Topics, Subtopics, Study Flow, and Working Steps

Chapter-by-chapter GATE/PSU explanation with every topic and subtopic organized for concept building, revision, interviews, and numerical solving.

Chapter 6 / Professional Feedback Builder

Feedback Amplifiers

This chapter explains feedback as controlled self-correction. The amplifier sacrifices some raw gain so the final circuit becomes more predictable, cleaner, wider-band, and better matched to its source or load.

GATE/PSU Lens

Identify sampled quantity, input mixing method, feedback sign, and the effect on gain, bandwidth, distortion, and impedances.

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Negative feedback visualization

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Working Steps: Output Sample to Input Correction

01

Sample either output voltage or output current.

02

Feed a fraction of the output signal back to the input.

03

For negative feedback, the returned signal opposes the input error.

04

The closed-loop gain becomes less sensitive to transistor parameter variation.

05

Bandwidth, linearity, and distortion performance usually improve.

Introduction

A feedback amplifier is an amplifier in which a fraction of the output is returned to the input. If the returned signal opposes the input error, the system uses negative feedback. If it supports the input, the system uses positive feedback.

In amplifier design, negative feedback is extremely important because it trades extra gain for better accuracy, stability, bandwidth, linearity, and predictable input-output resistance.

Why This Topic Matters

  • Industry relevance: feedback appears in audio amplifiers, op-amp circuits, RF gain blocks, sensor interfaces, voltage regulators, control systems, and data converters.
  • Signal-quality relevance: negative feedback reduces distortion, gain drift, noise sensitivity, and device-parameter dependence.
  • Exam relevance: GATE and university exams repeatedly ask closed-loop gain, desensitivity, bandwidth improvement, distortion reduction, and feedback topology identification.
  • Interview relevance: a strong answer explains feedback as error correction, not just the formula $$ A_f=A/(1+A\beta) $$.

Prerequisites

  • Voltage gain and current gain
  • Open-loop and closed-loop amplifier behavior
  • Basic block diagrams and signal flow
  • Input resistance and output resistance
  • Frequency response and bandwidth
  • Phase shift, distortion, and amplifier loading

Basic Intuition

Feedback is like a teacher checking the answer and correcting the next step. The amplifier produces an output. A small part of that output is measured and sent back. The input stage compares the original command with this returned information.

If the output is too large, negative feedback reduces the effective input. If the output is too small, the error increases and the amplifier pushes harder. This self-correction makes the circuit more predictable.

Simple memory: an open-loop amplifier only amplifies; a negative-feedback amplifier amplifies and corrects itself.

Core Theory Explanation

A feedback amplifier has three important quantities: open-loop gain, feedback factor, and closed-loop gain. The open-loop gain is the raw gain of the amplifier without correction. The feedback factor tells how much output is sampled and returned. The closed-loop gain is the final gain after correction.

  • Sampling network: takes voltage or current information from the output.
  • Feedback network: scales the sampled output by a factor $$ \beta $$.
  • Mixing network: compares the input signal with feedback signal.
  • Basic amplifier: amplifies the remaining error signal.

Negative feedback reduces gain, but that reduction is not a weakness. It is the price paid for stability. Instead of depending strongly on transistor gain, temperature, aging, and supply variation, the amplifier behavior becomes controlled mainly by the external feedback network.

Step-by-Step Mathematical Derivation

1. Start With the Error Signal

The amplifier does not amplify the source signal directly. In a negative feedback system, it amplifies the difference between input and feedback.

$$ V_e = V_s - V_f $$

Here, $$ V_e $$ is the error signal. If output becomes too large, feedback becomes larger, so error becomes smaller. That is correction.

2. Relate Feedback to Output

The feedback network returns only a fraction of the output:

$$ V_f = \beta V_o $$

Plain meaning: if $$ \beta = 0.1 $$, then 10 percent of output information is returned to the input for correction.

3. Use Amplifier Gain

The basic amplifier multiplies the error signal by open-loop gain:

$$ V_o = A V_e $$

Substitute $$ V_e = V_s - \beta V_o $$:

$$ V_o = A(V_s - \beta V_o) $$

$$ V_o + A\beta V_o = AV_s $$

$$ V_o(1+A\beta)=AV_s $$

$$ A_f = \frac{V_o}{V_s}=\frac{A}{1+A\beta} $$

The denominator $$ 1+A\beta $$ is the correction strength. Larger loop gain means stronger feedback correction and more stable closed-loop behavior.

4. Gain Stability Meaning

When $$ A\beta $$ is very large, the formula becomes:

$$ A_f \approx \frac{1}{\beta} $$

This is the most powerful idea in feedback. The final gain depends mainly on the feedback network, not on the uncertain raw amplifier gain.

Working Principle

  1. Input signal enters the mixing point.
  2. A fraction of output is sampled by the feedback network.
  3. The sampled signal is returned to the input side.
  4. For negative feedback, the returned signal subtracts from the source signal.
  5. The amplifier boosts only the remaining error signal.
  6. The output settles to a stable value controlled by feedback.

Diagram Explanation

Negative Feedback Block Diagram Here
Feedback Topology Signal Flow Diagram Here

The block diagram should show source signal, summing node, amplifier gain block, output sampling, feedback factor $$ \beta $$, and the return path. For topology diagrams, observe whether voltage or current is sampled at the output and whether feedback is mixed in series or shunt at the input.

Important Formulas

Feedback signal

$$ V_f=\beta V_o $$

Feedback factor tells what fraction of output information returns to the input.

Closed-loop gain

$$ A_f=\frac{A}{1+A\beta} $$

Negative feedback gain is lower but more stable than open-loop gain.

Loop gain

$$ A\beta $$

Measures strength of feedback correction around the loop.

Desensitivity

$$ D=1+A\beta $$

Shows how much gain variation is reduced by feedback.

Bandwidth improvement

$$ BW_f=BW(1+A\beta) $$

Gain reduces, but useful frequency range increases.

Distortion reduction

$$ D_f=\frac{D}{1+A\beta} $$

Nonlinear distortion is divided by the same feedback factor.

Noise reduction

$$ N_f=\frac{N}{1+A\beta} $$

Noise generated inside the amplifier is reduced by negative feedback.

High loop-gain approximation

$$ A_f\approx\frac{1}{\beta} $$

With strong feedback, final gain is set mainly by the feedback network.

Real-World Applications

  • Op-amp inverting and non-inverting amplifiers
  • Audio power amplifiers with low distortion
  • Voltage regulators and power supplies
  • Instrumentation amplifiers for sensor signals
  • Automatic gain control circuits
  • RF and communication gain stages
  • Control systems and servo loops
  • ADC drivers and precision analog front ends

Solved Examples

Beginner Example

An amplifier has open-loop gain $$ A=1000 $$ and feedback factor $$ \beta=0.01 $$. Find closed-loop gain.

Loop gain: $$ A\beta=1000\times0.01=10 $$

$$ A_f=\frac{A}{1+A\beta}=\frac{1000}{11}\approx90.9 $$

The gain dropped from 1000 to about 91, but the amplifier is now much more stable and predictable.

Intermediate Numerical

An amplifier bandwidth is $$ 20\,kHz $$ without feedback. If $$ A\beta=9 $$, estimate feedback bandwidth.

$$ BW_f=BW(1+A\beta)=20\,kHz\times10=200\,kHz $$

Negative feedback reduces gain but expands bandwidth by the same factor.

Advanced Problem

An amplifier has 8 percent distortion without feedback. If loop gain is 19, find distortion with feedback.

$$ D_f=\frac{D}{1+A\beta}=\frac{8\%}{20}=0.4\% $$

Feedback reduces distortion because the output error is sampled and opposed at the input.

Common Mistakes

  • Thinking negative feedback always means smaller output. It reduces uncontrolled gain, not useful performance.
  • Using $$ A_f=A/(1+A\beta) $$ for positive feedback. Positive feedback uses a different sign condition.
  • Confusing feedback factor $$ \beta $$ with transistor current gain $$ \beta $$.
  • Forgetting that feedback effects depend on loop gain $$ A\beta $$, not only amplifier gain.
  • Mixing up sampling and mixing: output side decides voltage/current sampling; input side decides series/shunt mixing.
  • Ignoring phase shift at high frequency, which can turn negative feedback into instability or oscillation.

Comparison Tables

Feedback TypeInput MixingOutput SamplingMain Effect
Voltage seriesSeriesVoltageIncreases input resistance, decreases output resistance
Voltage shuntShuntVoltageDecreases input resistance, decreases output resistance
Current seriesSeriesCurrentIncreases input resistance, increases output resistance
Current shuntShuntCurrentDecreases input resistance, increases output resistance

Interview Questions

  • What is the physical meaning of negative feedback?
  • Why does negative feedback reduce gain but improve stability?
  • What is loop gain, and why is it important?
  • Why does bandwidth increase when negative feedback is applied?
  • How does negative feedback reduce distortion?
  • How do you identify voltage sampling versus current sampling?
  • What is the difference between series and shunt mixing?
  • Can negative feedback cause oscillation? Under what condition?

Exam-Oriented Notes

  • For negative feedback, use $$ A_f=A/(1+A\beta) $$.
  • The factor $$ 1+A\beta $$ appears in gain stability, bandwidth improvement, distortion reduction, and noise reduction.
  • Series mixing increases input resistance; shunt mixing decreases input resistance.
  • Voltage sampling decreases output resistance; current sampling increases output resistance.
  • If loop gain is very high, closed-loop gain becomes approximately reciprocal of feedback factor.
  • At high frequency, always remember phase shift can reduce stability margin.

Revision Summary

  • Feedback means returning a portion of output to the input.
  • Negative feedback subtracts feedback from input and corrects error.
  • Closed-loop gain is lower but more stable than open-loop gain.
  • Loop gain controls the strength of feedback improvement.
  • Negative feedback improves bandwidth, linearity, distortion, and parameter stability.
  • Feedback topology is identified by output sampling and input mixing.
  • Key relation: $$ A_f=A/(1+A\beta) $$.

Practice Questions

Conceptual

  • Explain negative feedback as error correction.
  • Why does an amplifier become more stable after adding negative feedback?
  • How do you identify whether output voltage or output current is sampled?

Numerical

  • Find closed-loop gain for $$ A=500 $$ and $$ \beta=0.02 $$.
  • If bandwidth is $$ 50\,kHz $$ and loop gain is 4, find feedback bandwidth.
  • If distortion is 5 percent and $$ A\beta=24 $$, find distortion with feedback.

MCQs

  • Negative feedback generally increases bandwidth: true or false?
  • Series mixing increases or decreases input resistance?
  • Voltage sampling increases or decreases output resistance?
6.1

Main Topic

Concept of Feedback

Feedback means the amplifier listens to its own output. A sampled portion of the output is returned to the input so the circuit can correct gain, distortion, bandwidth, or impedance behavior.

6.1.1

Concept of Feedback

Open-loop gain

Open-loop gain is the gain of the amplifier before feedback is applied. It is usually high but sensitive to transistor parameters, temperature, supply variation, and frequency.

Step-by-step working

  1. 1Apply input directly to the amplifier.
  2. 2The amplifier produces output according to its internal gain.
  3. 3No output sample is returned to correct the input error.
  4. 4Gain can vary when device parameters or temperature changes.
  5. 5This high but uncontrolled gain becomes the raw material for feedback design.

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Open-loop gain visualization

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Remember

Open-loop gain is large, but it is not naturally stable.

6.1.2

Concept of Feedback

Feedback factor

Feedback factor is the fraction of output returned to the input. It is usually written as beta. The feedback network may be a resistor divider, RC network, transformer network, or another sampling path.

Step-by-step working

  1. 1Take a sample from the output side.
  2. 2Scale that sample using the feedback network.
  3. 3Return the scaled signal to the input comparison point.
  4. 4The returned signal is beta times the output.
  5. 5Changing beta changes closed-loop gain and stability behavior.

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Feedback factor visualization

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Remember

Feedback factor beta tells how much output information returns to the input.

6.1.3

Concept of Feedback

Closed-loop gain

Closed-loop gain is the gain after feedback is applied. With negative feedback, it becomes more predictable and is often controlled mainly by the feedback network rather than the raw amplifier gain.

Step-by-step working

  1. 1Input signal and feedback signal meet at the summing point.
  2. 2Negative feedback subtracts from the input to form an error signal.
  3. 3The amplifier amplifies this smaller error signal.
  4. 4Output adjusts until the feedback sample nearly matches the required input relation.
  5. 5Closed-loop gain becomes stable when loop gain is high enough.

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Closed-loop gain visualization

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Remember

For negative feedback, closed-loop gain is approximately set by the feedback network when A beta is large.

6.2

Main Topic

Types of Feedback

Feedback type is named by what is sampled at the output and how it is mixed at the input. Voltage or current can be sampled; series or shunt mixing can be used.

6.2.1

Types of Feedback

Voltage series

Voltage-series feedback samples output voltage and returns it in series with the input. It usually increases input resistance and decreases output resistance, making it common in voltage amplifiers.

Step-by-step working

  1. 1Sense output voltage across the load.
  2. 2Feed a proportional voltage back to the input.
  3. 3Mix feedback in series with the source signal.
  4. 4Input resistance rises because the source sees series opposition.
  5. 5Output resistance falls because output voltage is corrected by feedback.

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Voltage series visualization

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Remember

Voltage-series feedback is common for stable voltage gain.

6.2.2

Types of Feedback

Voltage shunt

Voltage-shunt feedback samples output voltage and returns current at the input node in shunt. It tends to reduce both input and output resistance.

Step-by-step working

  1. 1Sense output voltage from the load side.
  2. 2Convert the sampled voltage into feedback current.
  3. 3Inject feedback current at the input node.
  4. 4Input node behaves as a low-resistance summing point.
  5. 5Output voltage is controlled by the sampled feedback signal.

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Voltage shunt visualization

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Remember

Voltage-shunt feedback lowers input resistance and output resistance.

6.2.3

Types of Feedback

Current series

Current-series feedback samples output current and returns a series voltage to the input. It tends to increase both input and output resistance.

Step-by-step working

  1. 1Sense load or output current using a series element.
  2. 2Convert current sample into a feedback voltage.
  3. 3Insert that feedback voltage in series with the input.
  4. 4Input resistance increases because of series mixing.
  5. 5Output resistance increases because current sampling opposes load-current change.

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Current series visualization

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Remember

Current-series feedback is useful when controlled output current is desired.

6.2.4

Types of Feedback

Current shunt

Current-shunt feedback samples output current and returns a shunt current to the input. It tends to reduce input resistance and increase output resistance.

Step-by-step working

  1. 1Sense output current through a series sampling path.
  2. 2Generate a proportional feedback current.
  3. 3Mix that feedback current at the input node.
  4. 4Input resistance falls due to shunt mixing.
  5. 5Output resistance rises because output current is regulated.

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Current shunt visualization

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Remember

Current-shunt feedback is a current-control topology with shunt input mixing.

6.3

Main Topic

Advantages of Negative Feedback

Negative feedback trades some gain for better behavior. It makes the amplifier less dependent on imperfect devices and more dependent on the designed feedback network.

6.3.1

Advantages of Negative Feedback

Gain stability

Negative feedback stabilizes gain because variations in amplifier gain are corrected by the feedback loop. If gain rises, feedback rises and reduces the error signal; if gain falls, feedback falls and allows more error drive.

Step-by-step working

  1. 1Amplifier gain tries to change due to temperature or device variation.
  2. 2Output changes because of that gain shift.
  3. 3Feedback sample changes in the same direction.
  4. 4The input error is adjusted opposite to the gain shift.
  5. 5Closed-loop gain remains much more stable than open-loop gain.

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Gain stability visualization

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Remember

Negative feedback desensitizes gain by the factor 1 + A beta.

6.3.2

Advantages of Negative Feedback

Reduced distortion

Distortion means output is not a clean scaled copy of the input. Negative feedback compares output information with the input demand and forces the amplifier to correct nonlinear errors.

Step-by-step working

  1. 1Nonlinear amplifier action creates waveform error.
  2. 2The distorted output is sampled by the feedback network.
  3. 3Feedback returns an error-related signal to the input.
  4. 4The amplifier drives in a direction that cancels part of the distortion.
  5. 5Output waveform becomes closer to the intended shape.

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Reduced distortion visualization

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Remember

Negative feedback reduces distortion roughly by the same loop factor that stabilizes gain.

6.3.3

Advantages of Negative Feedback

Increased bandwidth

Negative feedback lowers midband gain but extends the useful frequency range. The gain-bandwidth tradeoff means the amplifier gives less gain over a wider band.

Step-by-step working

  1. 1Without feedback, gain is high but falls sooner with frequency.
  2. 2Negative feedback reduces midband gain.
  3. 3The lower gain target remains accurate over a wider frequency range.
  4. 4Lower cutoff may move downward and upper cutoff may move upward.
  5. 5The usable bandwidth increases.

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Increased bandwidth visualization

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Remember

Negative feedback reduces gain but increases bandwidth.