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Today, we'll explore feedback mechanisms in amplifier circuits. Can anyone tell me what feedback means in this context?
I think feedback is when part of the output is fed back to the input.
Exactly! Feedback can be classified into series and parallel configurations. In our case, we focus on series-series feedback. In this setup, the input signal is a voltage, while the output signal is current.
Why is that important?
Good question! This relationship allows us to increase both input and output resistances, enhancing circuit performance. Remember: 'Voltage in, current out!'
How does that affect gain?
Weβll get to that in detail, but essentially, feedback reduces gain proportionally while improving stability.
In summary, feedback in amplifiers helps shape performance characteristics, playing a critical role in circuit design.
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Let's move on to trans-conductance. Can anyone describe what it is?
Is it the ratio of output current to input voltage?
Exactly! In feedback circuits, the trans-conductance can be modified by the feedback configuration. Higher trans-conductance usually means better amplification.
So, if we're reducing gain with feedback, how does that affect trans-conductance?
Excellent inquiry! By adjusting the feedback, we can control the effective trans-conductance in a way that enhances circuit stability and output characteristics.
Remember to think of trans-conductance as 'gain control'- it allows us to balance performance efficiently.
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Now, letβs apply what weβve learned to a numerical example. We have various resistances and a supply voltage that influence our circuit.
Whatβs the first step in analyzing the circuit?
First, calculate the bias current using the given resistor values and then apply these to determine the collector current.
And how do we find Gm in this example?
Great question! Gm can be obtained from the circuit parameters β itβs linked to the collector current.
Just to confirm, as we apply feedback, we need to check how the resistances change, right?
Correct! Each change influences the feedback factor, affecting performance metrics. Our goal is to ensure the amplifier's stability.
In summary, numerical analysis provides us crucial insights into tuning our feedback loops effectively.
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Finally, let's talk about how feedback affects gain. Can anyone summarize what we learned about voltage gain changes?
Feedback reduces voltage gain while improving input and output resistances.
Well said! And this is due to the desensitization factor which shows how feedback can stabilize gain but reduce its magnitude.
So does that mean our final resistance calculations will reflect these changes?
Exactly! The changes in input and output resistances are crucial. We expect them to increase with proper feedback adjustments.
And does this lead to any practical design considerations?
Definitely! Understanding how feedback modifies circuit parameters is essential for amplifier design.
In summary, feedback plays a dual role: it stabilizes but also limits our amplifier's potential gain.
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This section discusses the application of feedback circuits in amplifiers, detailing the effects of feedback on input and output resistance, trans-conductance, and various circuit parameters. It highlights how feedback impacts the performance of transistor amplifiers using numerical examples.
In this section, we delve into the application of feedback in amplifier circuits, particularly exploring the numerical examples of feedback mechanisms in transistor amplifiers. The concept of feedback serves to enhance the characteristics of amplifiers by influencing their input and output resistances, trans-conductance, and performance metrics.
By applying these principles, the section elucidates the practical considerations for designing effective feedback amplifier circuits.
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So, here we do have the numerical example, what we have here it is the circuit is given here and value of different bias circuits are enlisted; namely, R it is 5 kβ¦, R it is 840 kβ¦, supply voltage it is 10 V, R the total resistor it is 1 kβ¦, base to emitter on voltage it is 0.6 V and Ξ² is 100.
In this part of the analysis, we introduce a numerical example involving a circuit that specifies various parameters necessary for understanding how the feedback impacts performance. The circuit includes resistors with defined values, a specified supply voltage, and transistor characteristics such as the base to emitter voltage and the gain factor (Ξ²).
Imagine you are creating a recipe where each ingredient represents a parameter; together, they create a delicious meal. Just like our circuit parameters, if you change the amount of an ingredient, it affects the final taste. Similarly, in a circuit, changing resistor values or Ξ² will influence the overall performance.
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So, if you consider this parameters we can say that the bias current here it is 10 Β΅A. And because of the Ξ², 100 the corresponding collector current it is 1 mA. So, the drop across this one it is 1 V and drop across this R it is 5 V so, we do have 4 V. So, the device it is in active region of operation. So, it is really working as a good amplifier.
Here, we calculate the bias and collector currents based on the parameters. The bias current is determined to be 10 Β΅A. With a Ξ² (beta) value of 100, this results in a corresponding collector current of 1 mA. The voltage drops across resistors in the circuit are also calculated to ensure the transistor is operating in its active region, indicating that it functions effectively as an amplifier.
Think of this like amplifying sound. If someone speaks softly (10 Β΅A), the microphone (transistor) boosts their voice to much louder levels (1 mA). The calculated voltage drop across components is like adjusting your sound system to ensure everything sounds just right without distortion.
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Now, with 1 mA of current g of the transistor it is β§ and r on the other hand which is = 2.6 kβ¦ and then r it is so, that gives us 100 kβ¦.
In this section, we derive the transconductance (g) and resistances associated with the transistor. Transconductance is defined as the ratio of output current to input voltage. The resulting values show that the transistor has a certain inherent resistance (r) of 2.6 kβ¦ and output resistance (r0) of 100 kβ¦.
Imagine a water faucet: if we consider the flow of water out of the faucet as the output current (1 mA), and the pressure of the water flowing as the input voltage. The respondence of the faucet to changes in pressure reflects the transistorβs transconductance. Just as different faucets can have different resistances to flow, the transistor has distinct resistance values affecting its performance.
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So, to get this value here again we may recall that different conditions and what are the conditions we do have? The R which is also equal to R need to be much less than minimum of this two; so, this should be much less than 2.6 k⦠and so, these two are essentially R.
This part discusses the feedback factor and how it should relate to resistance values within the circuit. We derive that the feedback resistance must be significantly lower than established resistance values to ensure effective feedback operation. The conditions ensure that our circuit maintains stability and desired performance levels.
Imagine a feedback mechanism like a loop feedback system in a dance performance. If a dancer (resistor) is not moving harmoniously with the rest of the group (circuit), their movements need to be adjusted (feedback resistance reduced) to match the overall performance, ensuring the harmony of the dance (stable circuit operation).
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Now, whenever we do have this requirement much less or much greater then at least we can say it is better to have one order of magnitude lower or higher. So, based on these two conditions; we may say that we can select say R = 260 β¦, satisfying both these two conditions.
Based on the earlier established conditions regarding feedback resistances, we conclude that resistor values need to be selected very carefully. The suggested resistor of 260 β¦ effectively meets the criteria of being much less than the established resistance levels while simultaneously providing proper feedback functionality.
Consider a tuning fork that needs to resonate properly; if it's tuned too high or too low, it doesn't produce the right sound. Similarly, the selected resistor must be βtunedβ or set within the accurate range to ensure optimal feedback response in the circuit.
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So, we can see that G , G of this one it is getting reduced by a factor of 10. Likewise the input resistance it is getting increased. So, R = 2.6 k Γ this desensitization factor approximately 10.
In this final chunk of our analysis, we see how feedback impacts the circuit's performance. The transconductance is reduced, and the input resistance is notably increased due to the feedback. As a result, we calculate the input resistance to show a significant increase due to the feedback connection, indicating a desensitization effect.
Imagine wearing noise-canceling headphones; while they help you hear things louder and clearer by reducing outside noise (feedback), they also change how you perceive sound. Similarly, feedback modifies the circuit's input resistance and alters the overall response, showcasing the fascinating nature of feedback systems.
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So, in summary we can say that due to the feedback connection, trans-conductance it is instead of . Input resistance it got increased to 26 kβ¦ from 2.6 kβ¦ and R rather output resistance instead of 100 kβ¦ it is now it is 1 Mβ¦.
This summary reiterates the effects of feedback on the circuit's parameters. We observe how the transconductance decreased, along with significant increases in both input and output resistances, showcasing the profound effects that feedback connections have on circuit behavior.
Think about how your body responds to feedback; applying a lot of pressure might change how your muscles react. In electronics, feedback affects parameters in the same way, significantly altering the circuit's input and output responses to signals.
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Key Concepts
Feedback Mechanism: Examines the relationship between input voltage and output current in feedback networks, particularly the series-series feedback configuration.
Trans-Conductance (Gm): Discusses how the feedback network controls the trans-conductance of the circuit, linking it to circuit performance.
Impact on Circuit Performance: Analyzes changes in input resistance, output resistance, current gain, voltage gain, and trans-impedance due to feedback, employing numerical examples to illustrate these effects.
Numerical Example: A specific numerical example is provided, detailing the component values and the resulting circuit analysis, showing how feedback configurations can be efficiently tuned to improve amplifier response.
By applying these principles, the section elucidates the practical considerations for designing effective feedback amplifier circuits.
See how the concepts apply in real-world scenarios to understand their practical implications.
When feedback is applied to a common emitter amplifier, the output current can be reduced to stabilize gain variation.
With the given resistor values: R_C = 5 kΞ©, R_B = 840 kΞ©, feedback can adjust the gain by influencing both input and output resistances.
Use mnemonics, acronyms, or visual cues to help remember key information more easily.
Feedback flows from output to input, amplifying stability, thatβs the route!
Imagine a director giving feedback to an actor. The actor takes it to improve their performance, like feedback enhances amplifiers.
Remember 'FIT': Feedback Improves Trans-conductance.
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Review the Definitions for terms.
Term: Feedback
Definition:
A process in which a portion of the output signal of a system is fed back to the input to improve system performance.
Term: TransConductance
Definition:
A measure of how effectively a transistor can control the output current through varying input voltage.
Term: Resistance
Definition:
The opposition to the flow of electric current, measured in ohms (Ξ©).
Term: Voltage Gain
Definition:
The ratio of output voltage to input voltage, indicating how much an amplifier increases the voltage level.
Term: Desensitization Factor
Definition:
A factor that indicates how feedback reduces the overall gain of a system while improving stability.