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Welcome class! Today weβre diving into the various configurations of feedback systems. Can anyone tell me what feedback systems are?
Are they the systems that use the output to control the input?
Exactly! Feedback systems essentially take the output signal and feed it back as an input to modify the system's behavior. Now, we have different configurations like shunt-series and series-shunt feedback systems. Who can explain what shunt means?
I think shunt refers to connecting in parallel?
Correct! And series means connecting in sequence, right? These configurations affect how we model the response as we deal with either voltage or current signals. Remember, in shunt configurations we minimize loading effects!
Why is minimizing loading effects so important?
Good question! Minimizing loading effects ensures that our feedback signals accurately represent the intended values without distortion. Let's summarize: shunt configurations are parallel, and they help in reducing loading effects!
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Now, moving on, letβs consider feedback systems with voltage inputs and outputs. Can anyone explain what happens in these setups?
In voltage feedback systems, we sample the voltage in parallel and mix it in series, right?
Exactly! And what are the implications of having infinite resistances in these cases?
It would mean no loading effect, allowing accurate signal representation!
Correct! Conversely, with current feedback systems, we reverse it. Can you explain how?
In current feedback systems, we have a series sampler and a parallel mixer, maintaining similar principles!
Well done! So, we switch the approach entirely based on whether we're dealing with voltages or currents. Remember, appropriate resistances are vital for ensuring we minimize losses. Let's summarize: voltage systems sample in parallel, current systems in series.
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Great! Now letβs talk about transconductance feedback systems. Explaining this to the class requires careful consideration of these terms. Who remembers what transconductance means?
Doesn't it involve converting voltage into current?
Yes, and conversely, we have transimpedance systems which convert current into voltage. This is essential as we calculate gains. What do we focus on here?
The consistency of units between Gm and Ξ², right? To maintain coherence!
Perfect! If we factor these together, we maintain a unitless system. Always remember, careful conversion reflects our operational integrity. Letβs summarize: transconductance converts voltage to current, while transimpedance does the reverse.
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Now, letβs apply what we've learned into practical considerations. Why do we consider real-world resistance in our calculations?
Because real-world components create loading effects that deviate from our ideal assumptions?
Precisely! Itβs crucial to assume finite resistance can shift performance measures. How might we evaluate these impacts?
We could create circuit models to empirically test their responses against ideal conditions.
Exactly! Building and testing models reveals operational stability and helps in recognizing scenarios that deviate from theoretical expectations. Let's wrap up: while ideal situations are valuable, real-world applications challenge us to think critically.
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In this section, the focus is on the practical applications of feedback systems, detailing different configurations involving either voltage or current signals. The implications of load resistance and circuit conditions are thoroughly explored, highlighting how they affect system behavior.
This section details the practical aspects of feedback systems in electronic circuits, especially focusing on configurations that utilize either voltage or current signals. As we delve into each configuration, we delineate the typical scenarios where either incoming or outgoing signals are assessed as voltages or currents.
The significance of choosing the correct configurations lies in their effects on performance metrics such as gain stability and response sensitivity under varied operational conditions. The section emphasizes that, despite aiming for the ideal conditions, real-world applications may introduce variations that require further evaluation, especially considering feedback paths and loading effects.
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So far we have talked about the ideal situation. Now, of course the situation whenever we consider practical examples there we will see that we will not be having any guarantee to have this situation or maybe the other situation.
In the ideal world, we assume feedback systems operate under perfect conditions. However, in real-life scenarios, these perfect conditions often do not exist. Factors like resistance can affect performance. Thus, while we discuss scenarios with ideal components yielding perfect results, we must also consider practical cases where variations in component values might alter the behavior of the feedback system.
Think of a perfectly balanced seesaw at a playground. In theory, if both sides are equal, it works smoothly. But what happens when one side becomes heavier with a friend sitting down? The seesaw tilts and doesn't operate as βideallyβ anymore, just like feedback systems under practical conditions.
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So, in case say we do have finite value of resistance so, in case this is nonzero likewise in case if we do have output resistance which is nonzero and still if I say that this is infinite and this resistance is 0 this is having 0 conductance.
In practice, if the resistances involved in the feedback system are finite (meaning they have measurable values rather than being zero or infinite), this changes the system's behavior. For instance, if there's resistance at the output, the voltage behavior may differ from expected outcomes. Thus, adjustments must be made to account for these non-ideal conditions.
Imagine trying to pour water from a wide bottle into a narrow one. If you shake the wide bottle (representing the feedback system) with enough force, it might spill (i.e., the output is affected). The 'narrow' represents non-ideal conditions due to resistances which alter the fluid flow, mirroring how non-zero resistance alters feedback performance.
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If we have a practical load then we have to consider that situation.
In a feedback system, loads (external resistances) can affect how input signals are processed. When you have a load connected, the entire feedback loop's performance alters because the load affects the voltage or current levels being sensed and fed back. This must be calculated to ensure the system operates as intended.
Consider a car on a hill. If the road is perfectly flat (ideal), the car moves without resistance. However, if a steep slant (load) is introduced, it requires more effort (input power) to move. Just like feedback systems, additional loads must be accounted for, in practice, so we can predict how far and fast the car (or system) can operate.
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So, but then in case if I am having some finite resistance here. So, suppose this is non-infinite.
When systems have finite resistance, the input resistance and output resistance aren't merely the sum of their isolated values but are affected collectively by a factor known as desensitization. This adjustment integrates the interaction through the feedback network, thus providing a modified operational characteristic that helps predict system behavior more accurately.
Think of a team working on a project. If everyone works separately, they achieve individual results, but when they collaborate (like feedback), the output is modified by their interactions. Similarly, if one aspect (resistance) changes, it affects the total project result (system output). This interdependence is what desensitization captures in feedback systems.
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Key Concepts
Feedback System: A circuit design that modifies its output based on its input for improved stability.
Shunt-Series vs Series-Shunt: Differentiates between configurations where signal is sampled in parallel (shunt) or in series.
Transconductance (Gm): Converts voltage inputs to current outputs.
Transimpedance (Z): Converts current inputs to voltage outputs.
See how the concepts apply in real-world scenarios to understand their practical implications.
In a voltage feedback system, the output voltage is sampled and modified using a series mixer to improve signal quality.
In a current feedback system, current signals are directly fed back to the amplifier to minimize output impedance.
Use mnemonics, acronyms, or visual cues to help remember key information more easily.
In feedback loops do not forget, load resistances play their part, to ensure signals never depart!
Imagine a series of rivers (series connections) and lakes (shunt connections) where the water (signal) flows seamlessly without interruption, sampling from each body to adjust the flow downstream.
To remember shunt vs. series: 'S for Shunt is for Sample, S for Series is for Sync!'
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Review the Definitions for terms.
Term: Feedback System
Definition:
A system that utilizes its output to regulate its input to improve stability and performance.
Term: Shunt Connection
Definition:
A parallel connection that allows a signal to bypass a component.
Term: Series Connection
Definition:
A connection in which components are linked one after another, ensuring the same current flows through them.
Term: Voltage Sampler
Definition:
A device that takes voltage samples from a circuit for processing.
Term: Current Sampler
Definition:
A device designed to sample an electrical current from a circuit.