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Welcome class! Today, we're discussing the important concept of poles in feedback systems. Can someone remind me what we mean by 'poles'?
Poles are the values of the variable that make the system's transfer function go to infinity, right?
Exactly! They determine stability and frequency response. Now, can anyone explain how the placement of poles affects the behavior of a circuit?
If poles are in the left half plane, the system is stable, but if they move to the right half, it becomes unstable.
Well said! To help remember, think of the acronym 'LEGO' - Left = stable, Going Right = unstable. Now, let's dive deeper into specific cases.
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Now, letβs differentiate between dominant and non-dominant poles. Who can explain what a dominant pole is?
A dominant pole is the pole that has the most impact on the system's frequency response. It's usually the lowest frequency pole.
Exactly! When analyzing frequency response, we often approximate systems using just this dominant pole. Can anyone explain why we can ignore non-dominant poles?
Because their effect is negligible compared to the dominant pole, especially at lower frequencies!
Right! Remember the phrase 'Dominance rules.' It helps us remember to focus on the dominant pole for approximations.
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Letβs now discuss what happens when we have complex conjugate poles. What do you think their effect on the output is?
I think they can cause overshoot in the system response, right?
Correct! The overshoot is related to the imaginary part of the poles. Remember the saying 'Complex causes kicks.' It can help you recall this effect!
So, if poles are too close together, does that make them complex conjugates?
Yes! When poles interact closely, they can result in complex conjugate pairs, which is why their relative positioning is crucial.
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Letβs take a look at how we can read a Bode plot. Why is it important for analyzing our feedback system?
It helps us visualize gain and phase shifts over a range of frequencies.
Right! The Bode plot depicts poles and zeros clearly. Can anyone describe how the location of poles affects the slope of the Bode plot?
Closer poles result in a steeper slope, indicating a faster roll-off in gain.
Perfect! Remember that 'Slopes Show Shifts.' Itβs a handy way to recall the relationship between poles and slope.
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In our concluding session, why is understanding pole locations critical in circuit design?
To ensure stability and desired frequency response!
Exactly! We aim for poles to be in the left half plane to ensure stability. Can anyone name a scenario where this knowledge is applied?
When designing amplifiers or control systems!
Great! Remember how crucial it is to analyze poles during design. Use the mnemonic 'Design with Care, Check Where!'.
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The section delves into the concept of pole placement in feedback systems, particularly focusing on how the positions of poles influence the system's stability and frequency response. Different cases are explored, including scenarios with one or more poles, and how approximations aid in analyzing complex pole behavior.
In this section, we explore how the location of poles in analog feedback systems influences the overall system response. Several cases are discussed to illustrate the effects of feedback on frequency response. The feedback system's gain is derived and expressed, leading to the identification of dominant poles and the emergence of complex conjugate pairs. Through discussions on the forward amplifier, it is articulated that the pole placements determine the stability of the system. Various scenarios, including the interaction of poles in different configurations, help solidify the understanding of Bode plots and system behavior. The section emphasizes that the relative position of the poles greatly impacts whether they remain real or shift to complex values, which ultimately shapes the system's response characteristics.
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Analog Electronic Circuits
Prof. Pradip Mandal
Department of Electronics and Electrical Communication Engineering
Indian Institute of Technology, Kharagpur
Lecture β 96
Effect of Feedback on Frequency Response (Part-B)
In this section, we are introduced to the concept of poles in a feedback system. Poles are critical for understanding the behavior of a feedback system's frequency response. The discussion focuses on how the location of these poles influences system performance, particularly how they can be shifted with feedback.
Think of poles as anchors in a boat. If the anchors (poles) are smoothly placed, the boat (system) will sail smoothly. If you start pulling one anchor closer to the other, the boat may start to tilt or behave erratically, depending on how close they getβthis mimics how poles interact in a feedback system.
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So first of all, forward amplifier it is having 2 poles; p1 and p2, Ξ² is independent of frequency and the system of course, it is βve feedback system. And we consider p1; it is lower frequency than p2 which means that p1 is referred as dominant pole.
Here, we see that in a feedback system with two poles, p1 and p2, the pole p1 is regarded as the dominant pole because it operates at a lower frequency than p2. Typically, the dominant pole has the most significant effect on the systemβs response because it affects the lower frequency behavior more than the higher frequency one.
Imagine a meeting where one person, the dominant speaker (p1), is talking slowly and clearly (lower frequency), while another person (p2) tries to add information quickly. The audience (system) is likely to focus more on the slower speaker, as they are easier to understand. This demonstrates how the dominant pole impacts the feedback system more than the other.
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But the anticipated shifted version of this p namely pβ², if it is comparable will with p2, then what happens? ... a factorization of this p equation may or may not be having a meaningful factorization.
This chunk discusses the outcomes when the location of the shifted pole pβ² becomes comparable to the second pole p2. If they are close enough, it can lead to complex pole behavior, which makes analyzing the system's output more complicated because the new poles may not be real numbers and could become complex. This affects stability and frequency response.
Consider two friends who often talk loudly at the same time (p1 and p2). If one friend starts to shout louder (shifting poles), but gets too close to the other (comparable location), it may create confusion, making it hard for others around them to understand what's being said. Similarly, in a feedback system, poles that are too close create complex interactions.
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However, this pβ² and pβ², they need not be real numbers. ... depending on the relative value of this p2 and specific conditions, they may create real poles or complex conjugate poles.
In feedback systems, when determining the location of poles, itβs revealed that pβ² and pβ² may not be real. The nature of these polesβwhether real or complexβchanges based on other factors in the system. This dependency introduces variability in system response, particularly concerning stability. Understanding how to compute these locations leads to better design of feedback systems.
Think of trying to balance a pencil on the tip of your finger. If you make a small change in the angle, the pencil might fall (instability). The stability of the pencil (system) relies heavily on your fingers (pole locations) getting the balance right. The same principles apply to feedback systems where slight adjustments can lead to very different outcomes.
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So depending on this value, ... whether these 2 poles they are really real poles remaining as real pole or they are becoming complex conjugate.
This section elaborates on how the interaction between poles determines their nature, whether they remain as distinct real poles or transform into complex conjugate pairs. The transition of poles like this often signifies critical changes in the system's frequency response characteristics, influencing oscillation and peak behaviors.
Imagine a teeter-totter. If both sides are balanced (real poles), it moves up and down smoothly. But if one side gets heavier (complex poles), it starts to wobble more erratically. In electronics, this represents how feedback can change the behavior of a system depending on the locations of poles.
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We have discussed about the location of poles of a feedback system. ... This gives you fair idea that how the poles locations are getting changed.
The section concludes by summarizing how the location of poles in feedback systems can significantly influence the system's overall behavior. The course outlines different scenarios examining how feedback and pole locations impact stability and performance across various cases, particularly focusing on the importance of dominant poles.
Reflecting back on our earlier analogies, think of orchestra musicians. If all musicians (poles) play harmoniously together (pole location optimized), the music sounds beautiful. However, if one musician starts playing off-key or out of sync with the others (poorly placed poles), the overall performance is compromised. Understanding and managing pole locations ensures systems perform optimally.
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Key Concepts
Poles: Critical points that determine stability and frequency response.
Dominant Pole: The pole primarily influencing the system's behavior.
Complex Conjugate Pair: A set of poles that can lead to oscillations in system response.
Bode Plot: A tool to visualize gain and phase shift in systems over frequency.
Feedback: Process that utilizes a portion of the output to regulate the input.
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An analog amplifier with a dominant pole that stabilizes the frequency response.
A control system exhibiting complex conjugate poles leading to oscillatory behavior.
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Poles in a plane, bring responseβs gain; Left is stable, Right is insane.
Imagine a race where poles are runners; the dominant pole always leads the way, while others lag, causing instability. Focus helps you track the winners!
Remember 'DROPO' for poles - Dominant, Complex, Real, Overshoot, and Plot.
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Review the Definitions for terms.
Term: Pole
Definition:
A point in the s-plane where a transfer function becomes infinite, indicating system behavior.
Term: Dominant Pole
Definition:
The pole that has the most substantial impact on the system's frequency response.
Term: Complex Conjugate Pole
Definition:
A pair of poles that are symmetrically located about the real axis in the s-plane; affects the system's response.
Term: Bode Plot
Definition:
A graphical representation of a system's frequency response, showing gain and phase shift against frequency.
Term: Feedback
Definition:
The process of using a portion of the output signal to influence the input signal in a control system.