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Welcome class! Today, we're diving deeper into feedback systems and their influence on amplifier frequency response. Can anyone tell me why feedback is crucial for amplifiers?
I think it helps improve stability and reduces distortion, right?
Exactly! By using feedback, we can control the gain and enhance the consistency of the signal. Now, do you remember what poles are in this context?
Yes, poles relate to the frequency response of the amplifier, don't they?
Correct again! Poles indicate where the system's gain decreases, and they play a significant role in shaping the frequency response. Let's explore how feedback modifies these pole locations.
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Now, letβs consider a forward amplifier with just one pole. What happens to its pole location when feedback is applied, say with a constant feedback factor Ξ²?
Does the pole move to a new location based on the feedback?
Exactly, the new pole position can be described by the equation p' = p(1 + Ξ²A). It represents a shift due to feedback, showing that feedback affects both gain and stability directly. Can someone summarize this relationship?
So, as gain increases due to feedback, the pole shifts to the right?
Yes! This shift can lead to better stability but lower gain at certain frequencies.
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Now, letβs move to amplifiers with two poles. How does feedback affect their pole locations?
Could one pole influence the position of the other?
Great question! Yes, if one pole is much lower than the other, it can dominate the system's behavior. In cases where the poles are closely spaced, adjustments in feedback will lead to more complex interactions. What do we call this scenario?
That's case II-B, right?
Yes! It becomes essential to identify the dominant pole when designing stable systems. Understanding these interactions helps you make informed design choices.
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Finally, let's reflect on the practical implications of our discussions. What happens when we apply feedback to modify pole locations?
The gain is reduced, but we achieve more stability?
Exactly! This trade-off between gain and stability is crucial for designing reliable amplifiers. When feedback is implemented wisely, it can greatly improve performance. What are key factors to consider?
We should consider how far the new poles are from the original ones to maintain stability.
Absolutely! The dynamics of pole placement affect not just stability but also the overall response of amplifiers.
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The section discusses the principles of feedback systems, specifically how the locations of poles in amplifiers change due to feedback. It covers various cases, such as when amplifiers have one or two poles and the implications of feedback on their frequency response. Key concepts include the gain of the amplifier, the feedback network, and the stability of the system.
This section addresses the impact of feedback on the frequency response of amplifiers, which is crucial for understanding their behavior in electronic circuits. The analysis begins by recalling the significance of amplifier gain and feedback in both time and frequency domains.
The analysis is presented with visual aids like Bode plots to highlight gain and phase changes, aiming to provide a comprehensive understanding of how feedback networks interact with circuit components.
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The concepts we will be covering today are primarily how the locations of the poles are getting changed in the feedback system, and that is due to the location of the amplifier's poles and also the poles of the feedback network. We shall focus on the situation where the amplifier may have one pole, two poles, or even three poles. And also, we will be considering cases where the feedback network may not have any pole; only the amplifier may be having a pole or both the amplifier and the feedback network may have poles.
In this section, we start by understanding how feedback networks can alter the positions of poles in an amplifier's frequency response. Poles are critical points in a transfer function that define the system's behavior at different frequencies. The amplifier can have different configurations: it can operate with one, two, or even three poles. Additionally, the feedback network can sometimes not include poles, which simplifies the situation, allowing us to focus solely on the amplifierβs characteristics. The reason this is important is that it helps us analyze how feedback can stabilize or change the performance of amplifiers in various applications.
Think of the poles as traffic lights on a busy road. Each light controls the flow of traffic at different intersections (frequencies). By installing a roundabout (feedback network) instead of traffic lights, you can change how fast or slow the traffic moves at different times of the day. Just like the traffic flow changes based on the setup of the traffic control (feedback), the amplifier's performance changes based on the positions of the poles.
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Let us consider case I, where we assume that Ξ² is independent of frequency. In this system, we have a negative feedback system in DC condition, and let us assume that the forward amplifier has a transfer function that has only one pole. This means A(s) can be written in a certain form, where A is the low-frequency gain, and it has a pole at s = -p.
In Case I, we analyze the impact of a single pole in the amplifier feedback system. We assume that the feedback factor (Ξ²), which could change with frequency, is constant. This scenario allows us to simplify our calculations. Here, the transfer function of the amplifier can be expressed mathematically, and it highlights the gain at low frequencies and its pole, which signifies stability and the systemβs behavior at higher frequencies. We then derive the feedback system's transfer function based upon this configuration.
Imagine you're running a shop (the amplifier), and you receive feedback from your customers about your products (the feedback network). If your product's demand never changes (constant feedback), you'll understand exactly how to adjust your inventory to meet sales effectively. The sole pole represents how steady you are at handling that feedback without getting overwhelmed.
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If we write the expression of this A(s), in the numerator we have A, and in the denominator, we get (1 + Ξ²A). This part is independent of frequency, meaning the pole location of the feedback system, denoted pβ², depends on the original pole p multiplied by (1 + Ξ²A). Therefore, we can say that the feedback system's pole is a shifted version of the original pole.
Here, we explore how feedback can shift the location of the pole of the system. At the core, the pole of the feedback system is derived from the original amplifier's pole, adjusted by a factor associated with feedback (1 + Ξ²A). This adjustment can result in a new pole location (pβ²), which dictates the systemβs frequency response. Thus, we are able to quantify how introducing feedback affects the systemβs stability and performance.
Imagine adjusting the speed limit (the pole) on a road because of traffic adjustments (feedback). If the average speed of vehicles increases due to smoother traffic flow (higher Ξ²), you might decide to raise the speed limit higher (new pole), which could improve commuting times significantly. This demonstrates how quick feedback not only tells you what is happening but actively reshapes how the system (traffic) operates.
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If we sketch the gain and phase of A in relation to the feedback system's gain and phase, we can find a clear correlation. The Bode plot of these elements can help visualize the changes in gain and phase due to the pole location shift, showcasing how the feedback influences the overall system response.
Visualizing the changes in gain and phase through Bode plots provides a comprehensive view of how feedback mechanisms are influencing our amplifier behavior. By plotting these parameters, we can clearly observe the effects of the feedback on system stability and performance across frequencies. The correlation results show us where gains are increasing and how these changes manifest in terms of system response in real operational environments.
Consider this visualization like a series of menus at a restaurant (gain) that changes based on customer feedback (feedback system). If certain dishes are more popular, you may notice spikes in orders (shifts in gain) and customer satisfaction (phase) around those menus. Plotting customer orders against feedback helps you understand what's working and where adjustments can improve the overall dining experience.
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Key Concepts
Feedback: The process of returning a portion of the output signal to the input, affecting the amplifier's stability and gain.
Poles: Points in the frequency response where the gain drops, indicating critical frequencies that influence the system's performance.
Bode Plots: Graphical representations of gain and phase versus frequency, useful for visualizing amplifier behavior under feedback.
See how the concepts apply in real-world scenarios to understand their practical implications.
In a simple inverting amplifier with negative feedback, when feedback is applied, the gain decreases and the pole shifts, providing more stable response characteristics.
In a two-pole system, if one pole is much lower than the other, even with feedback applied, the lower pole can dominate the frequency response.
Use mnemonics, acronyms, or visual cues to help remember key information more easily.
In feedback we trust, stability's a must. With poles we adjust, without them, we rust.
Imagine an amplifier as a person trying to maintain balance. Feedback is like a supportive friend helping adjust their position to stay upright, just as the poles shift to stabilize the gain.
F-P-G: Feedback (F), Pole (P), Gain (G) - Remembering the three critical parts of feedback systems.
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Review the Definitions for terms.
Term: Feedback
Definition:
A process where the output of a system is fed back into the input to enhance or reduce response.
Term: Pole
Definition:
A value in the Laplace domain that indicates where the gain of a system decreases significantly.
Term: Bode Plot
Definition:
A graphical representation of a system's frequency response, displaying gain and phase shift on a logarithmic scale.