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Today, weβll explore the first configuration of feedback systems: voltage sampling and mixing, specifically the shunt-series feedback system.
What do you mean by shunt sampling and series mixing?
Great question! In shunt sampling, we connect the feedback sensor in parallel to the output to derive the feedback signal. In contrast, in series mixing, the input signals are combined sequentially.
Why is it important to avoid loading effects?
Avoiding loading effects is crucial because it ensures that the devices or components donβt alter the network's behavior or measurements. How can we express this relationship mathematically?
Wouldnβt that be through a formula like v = A*v_in - Ξ²*v_f?
Exactly! The equations help in understanding how feedback affects output. In this case, we maintain ideal conditions by setting R_out to zero and R_in as infinite.
So, A and Ξ² become unitless, correct?
Yes! Both the voltage gain A and the feedback factor Ξ² are unitless under these ideal conditions. By the end of our session, remember the acronym 'VSM' for Voltage Sampling and Mixing.
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Now let's shift gears to current feedback configurations. What do you think happens when both the input and feedback signals are currents?
I imagine we would have series sampling since the output needs to flow through the input!
Exactly! As you pointed out, with series sampling, the current flows along a direct path. And how do we mix these currents?
That's through parallel mixing, right?
Correct! We utilize parallel connections to ensure that both currents can mix smoothly without restriction. What significance does the nature of feedback have here?
The polarity of the signals matters! Is it still considered negative feedback?
Yes! Negative feedback is essential in stabilizing circuits. We often end up with a loop gain of -Ξ²A. Try to keep the phrase 'CFS' in mind for Current Feedback Systems.
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Now, letβs delve into transconductance and transimpedance. Who can define what transconductance is?
I believe it's the transfer of voltage to current, right?
Correct! Itβs represented by G_m. Likewise, can anyone explain transimpedance?
That's converting the current feedback to voltage, represented by Z_m!
Exactly right! Remember that both G_m and Z_m are critical in defining feedback configurations. Always link them to their respective outputs, ensuring clarity!
So, can we say that these elements also help define the feedback loop gain?
Absolutely! These factors are included in calculating the overall system behavior, where we aim for stability and performance. Let's use 'TZG' for Transconductance and Transimpedance Gains.
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As we conclude today, letβs summarize overall feedback systems. What important takeaway should we have?
Loop gain is vital! It's affected by our choice of sampling and mixing methods.
Right! Loop gain directly impacts stability and performance. What formula would apply when calculating the overall transfer function?
Does it involve both A and Ξ²?
Correct again! The overall system gain is derived as A_f = A/(1+Ξ²A). Make sure to remember 'LOOP' for Loop gain and Overall feedback understandings.
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This section delves into two distinct feedback configurations utilizing voltage and current signals, detailing how samplers and mixers function within these setups. It emphasizes the importance of load resistance in maintaining ideal operational conditions, while defining terminology and providing an overview of feedback systems in analog electronics.
This section analyzes different configurations of feedback systems, which are critical in analog electronic circuits. It introduces various configurations through detailed models that focus on either voltage or current signals. The feedback system discussed is dependent on the polarity and type of samplers and mixers used.
The detailed analysis laid out in this section provides insights into effectively designing and understanding feedback systems, emphasizing their utility in maintaining desired functionality in electronic circuits.
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Welcome back after the short break. So we are talking about different possible configurations. So, in the next slide we are going to see one of those 4 configurations.
Here, the speaker introduces the concept of feedback configurations in electronic circuits. Feedback systems are essential in control and signal processing as they help improve performance and stability. The four configurations refer to types of feedback systems differentiated by how signals are sampled and mixed.
Think of a thermostat in a heating system. The thermostat measures the room's temperature (sampling) and sends this information back to the heater (mixing) to adjust the temperature. The four configurations are similar to different methods a thermostat might use to achieve this.
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In this case as I said that the input signal and output signal are say voltages. So, here we consider it is voltage here also it is voltage, so the signal here it is voltage and this is also voltage. Now, since here the signal it is voltage as you can see that the sampler whenever we are sampling the signal, it should be parallel connection.
In this configuration, both the input and output signals are voltages. A voltage sampler is used to capture the output voltage, which connects in parallel to the circuit. This design allows the sampler to measure the voltage without affecting the operation of the circuit by introducing significant resistance.
Imagine a water level sensor in a tank. It uses a float connected parallel to the water flow to measure the water level without blocking or influencing the water flow significantly.
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So, that is why we say that voltage sampler at the output port it is having a parallel port. So, we do have parallel port. On the other hand if you see signal here they are voltages, so our intention is to use these two voltages to generate this S.
The voltage generated from the mixing of the feedback signal is crucial for creating the necessary adjustments in the system. By mixing two voltage signals (the primary input and the feedback signal), the system can produce a new signal that reflects the desired output dynamics.
Consider two rivers flowing into a larger river; the flow from each river impacts the water level of the large river at the confluence point. Similarly, the mixed voltage reflects the contributions from both sources.
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So, if I say that this is v this is + and this is β. So, v = v β v. So, if you see carefully the polarity indicates that v = v β v. In fact, that is what we are looking for S = S β S.
Understanding the polarity of signals is key in feedback systems. Here, the signs (+ and β) indicate how the various voltage signals interact in the feedback loop. This control equation establishes the relationship between the various voltages, ensuring the system responds correctly to changes.
Using a dimmer switch to control a light bulb: turning the switch up increases brightness (positive voltage), while turning it down decreases brightness (negative voltage). The relationship ensures that adjustments in one part lead to expected changes in another.
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So, 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.
The concept of an ideal model simplifies analysis by assuming certain conditions, such as infinite input resistance (R) and zero output resistance (Rβ). These assumptions indicate no loading effect on the measurement of signals, which makes understanding their behavior easier.
Imagine trying to measure communication in a network without considering interferenceβif there were no obstacles (infinite resistance), the signals would pass freely without disruption.
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And also here we do have the output voltage which is A v. So, I should say this A v in v representing voltage gain, so A our formula we need to replace by this A. So, if you see here the primary input to primary output transfer characteristic is.
The output voltage in feedback systems directly relates to the voltage gain (A) of the system. This means that the system's performance can be characterized by how much output can be generated relative to the input, pivotal for determining stability and reliability.
Consider a loudspeakerβthe audio input (input voltage) leads to sound output (output voltage) through a specific gain factor. The gain defines how effectively audio signals are amplified and thus affects the overall performance.
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And how do we name this configuration? This type of sampler and type of mixer.
Naming conventions in feedback systems rely on how each configuration interconnects samplers and mixers. The specific arrangement of connections, whether shunt or series, defines how the feedback operates and influences the nomenclature.
Think of naming recipes based on their ingredients and methods; a salad could be called 'Greek salad' based on its specific components (tomato, cucumber) and how they're mixed (tossed together). Similarly, configurations highlight the system's arrangement and function.
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Key Concepts
Shunt Sampling: Using parallel connections to sense feedback signals.
Series Mixing: Combining signals in series to maintain integrity.
Loading Effect: The impact of measurement tools on circuit performance.
Transconductance: The conversion of voltage input to current output.
Transimpedance: The conversion of current input to voltage output.
See how the concepts apply in real-world scenarios to understand their practical implications.
In a voltage feedback system, if the output is 10V and the feedback voltage is 2V, the input voltage will be 8V under ideal conditions.
In a current feedback system, if the feedback current is 0.5A and the transconductance is 2S, the output voltage would be 1V.
Use mnemonics, acronyms, or visual cues to help remember key information more easily.
To mix in series, connect them right, avoid the load to keep the circuit tight.
Imagine a teacher monitoring students with a telescope - that is shunt sampling - observing without interfering with the learning experience.
VSM is for Voltage Sampling and Mixing, a simple way to keep feedback configurations in mind!
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Review the Definitions for terms.
Term: Feedback System
Definition:
A system that uses its output signal to influence its input for self-regulation.
Term: Shunt Sampling
Definition:
Connecting the feedback loop in parallel to the output to sense the feedback signal.
Term: Series Mixing
Definition:
Combining multiple signals in a sequential fashion within a feedback system.
Term: Loading Effect
Definition:
The influence that the resistance of a measuring instrument has on the circuit being measured.
Term: Transconductance
Definition:
The ratio of the output current to the input voltage in an electronic device.
Term: Transimpedance
Definition:
The ratio of the output voltage to the input current in an electronic device.
Term: Loop Gain
Definition:
The product of the gain around a feedback loop that indicates the feedback's impact.