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Today, we will dive into feedback systems, specifically how their configurations affect circuit behavior. First, can anyone tell me the difference between ideal and non-ideal resistances?
Ideal resistance would be infinite or zero, right? So thereβs no loading effect?
Exactly! In ideal conditions, a zero output resistance means no influence on the feedback signal. Now, letβs discuss what happens in real-world scenarios.
So would that mean the performance changes in feedback systems?
Yes! The changes are characterized by non-zero resistances creating loading effects, which we need to account for. This is crucial to our understanding.
Can anyone remember the term we use to describe the factor that adjusts for these changes?
Is it the desensitization factor?
Precisely! Good job, everyone. By acknowledging the desensitization factor, we can better manage feedback paths.
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Let's talk about the four configurations we can have based on signal types: voltage and current, and their connections: series and shunt.
Whatβs a shunt connection compared to a series one?
Great question! In a shunt connection, signals are connected in parallel, allowing them to sense voltage without affecting each other. Series connections combine signals sequentially. Can anyone think of examples?
One example could be using a voltage mixer in a voltage feedback scenario!
Exactly! That fits our shunt-series configuration perfectly. Remember, naming these configurations helps clarify their operation.
So, we have configurations like shunt shunt, series series, etc. Does anyone know what these imply?
They describe the connections used for sampling and mixing signals, correct?
Spot on! Understanding these configurations is key to designing effective circuits.
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Now, letβs analyze how non-ideal resistances impact circuit performance. What happens if one of the circuitβs components has a finite value?
It could create a loading effect that would alter the signals in the circuit.
Exactly! And in feedback systems, we need to adjust our approach. So, how do we rewrite our basic circuit equations to account for this?
We use the adjusted output and input resistances for our calculations, right?
Correct! This leads us to redefine the gain and feed the effects back into the overall system design. Good thinking!
Remember, evaluating circuit performance with non-ideal conditions is crucial as it keeps the design practical.
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The section discusses the ideal versus non-ideal scenarios in feedback systems, emphasizing how loading effects from non-zero resistances alter the performance of circuits. It describes various configurations based on resistance types and connections, providing clarity on how to manage feedback in different circuit designs.
In this section, the focus is on the effects of non-ideal resistances within feedback systems in analog electronic circuits. The author highlights that practical circuits seldom achieve ideal conditions where resistances are either infinite or zero, which influences the overall system behavior. The section details four configurations of feedback systems characterized by the type of signals (voltage or current) and their connections (series or shunt). It illustrates how these configurations can be understood through an ideal model and what changes when resistances are non-zero. Specifically, the section points out that real-world applications often require the account for loading effects, which necessitate adjustments in the feedback paths. Consequently, the feedback system's input and output resistances are affected by a desensitization factor, which is introduced when considering non-ideal resistances.
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To create that situation we have considered this ideal situation namely the resistance here it is β. So, I am keeping this is open so, R it is β. On the other hand output resistance here R , so that is equal to 0. So, output resistance here it is 0.
In this chunk, we introduce the concept of ideal conditions in electronic circuits. We assume that the input resistance (R) is infinite, meaning it does not load the circuit, and the output resistance (R) is zero, ensuring that the source can deliver current without any loss. This setup avoids any potential loading effects that could distort the circuit's performance.
Imagine a water system where the pipe delivering water (input resistance) is infinitely wide, allowing any amount of water to flow without resistance, and the outlet (output resistance) has no blockage, letting all water pass freely. This setup ensures optimal performance, similar to our ideal circuit model.
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So, the since the resistance here it is 0. So, whenever we are trying to tap the signal for the feedback network, so then it is not creating any loading effect.
Here, we discuss how a zero output resistance allows for optimal feedback signal capture without affecting the operation of the circuit. When the output resistance is zero, we can collect the feedback signal efficiently, maintaining the integrity of the signal processed through the circuit.
Think of a chef who wants to taste a soup while cooking. If he uses a small spoon (zero resistance), he can take a taste without removing much of the soup or changing its flavor. Similarly, the feedback in our circuit can be sampled without altering how the system functions.
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So, if I say that this is v this is + and this is β. So, v = v β v.
This chunk introduces the relationship between different voltages in the feedback circuit. It highlights how the output voltage relates to the input signals through a specific mathematical relationship. Understanding this relationship is crucial for analyzing circuits effectively.
Consider a situation where two people are comparing heights. If one is taller than the other by a specific amount, you can express that difference in simple terms: height difference = taller person's height - shorter person's height. Here, the simple equation mirrors our voltage relationship in circuits.
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So, in summary this configuration typically or most of the time we refer as shunt-series feedback.
This section wraps up previous discussions by naming the feedback configuration as 'shunt-series feedback.' In this configuration, signals are collected in a way that combines two methods: shunt sampling at the output and series mixing at the input, ensuring efficiency and clarity in how feedback is processed.
Imagine a chef using two different bowls: one for mixing ingredients (series) and another for tasting (shunt). This hybrid approach allows the chef to control the process efficiently, just as our circuit does with its feedback configuration.
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So, we need not to consider Aβ² rather Aβ² it is same as A and likewise Ξ²β² right.
In practical scenarios, we might encounter non-ideal resistances, which could shift the relationships in our circuit. However, in ideal situations, we often simplify our calculations because some variables (like A and Ξ²) can still be considered interchangeable. This simplification helps in making quick calculations while understanding potential real-world implications of resistance.
Think of a sports team where players have set positions. In an ideal game, each player sticks to their role effectively. But in a real game, players may occasionally switch roles due to strategy or fatigue. While such dynamics exist, the team still functions as a unit, similar to how we analyze circuits under non-ideal conditions.
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Key Concepts
Non-Ideal Resistance: Any resistance value that deviates from the ideal infinite or zero values affecting performance.
Loading Effect: The consequence of connecting a load to a circuit which can affect output signals.
Desensitization Factor: A measure that modifies system gain due to non-ideal resistances.
Shunt/Series Connections: Different types of connections in feedback systems crucial for sampling and mixing signals.
See how the concepts apply in real-world scenarios to understand their practical implications.
In a voltage feedback system, a shunt connection allows for easy voltage sampling without affecting the input signal, whereas a series connection mixes the signals effectively.
In a practical amplifier circuit, if the load resistance is non-zero, it alters the expected output voltage and may require adjustment using the desensitization factor.
Use mnemonics, acronyms, or visual cues to help remember key information more easily.
In circuits where loads are tethered and bound, A loading effect is easily found.
Imagine a road where cars can merge or parallel park; that's how signals behave in shunt and series, apart or together, they leave their mark.
Remember 'LDS' for Load, Desensitization, and Signals, key components in analyzing feedback systems.
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Review the Definitions for terms.
Term: Feedback System
Definition:
A system that uses its output to regulate its performance and maintain stability.
Term: Loading Effect
Definition:
The impact of added loads on a circuit that may alter signal levels or bandwidth.
Term: Desensitization Factor
Definition:
A ratio that compensates for changes in a system's gain due to the presence of non-ideal resistances.
Term: Shunt Connection
Definition:
A parallel connection that allows multiple signals to share a common path without significant interference.
Term: Series Connection
Definition:
A connection where signals are arranged in sequence, passing through each stage.