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Today, we'll discuss the role of poles in feedback systems. Can anyone tell me what a pole represents in a transfer function?
Isn't it a point where the function goes to infinity?
Exactly! Poles represent the frequencies at which the gain of the system can become unbounded. Now, can someone explain the significance of a dominant pole?
A dominant pole is the one that has the most significant effect on the system's response, right?
Correct! It heavily influences the frequency response, particularly at low frequencies. Remember the acronym 'DOP' for 'Dominant Over Poles' to help you recall this.
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Now, let's dive into those poles that can become complex. When two poles are close, how might that affect the system?
They could become complex conjugate poles, which would change the system behavior!
Correct! The formation of complex conjugate poles means the system can exhibit oscillatory behavior. Use 'CPS' for 'Complex Pole Shifts' as a mnemonic.
What does that mean for stability?
Good question! If complex poles are in the left-half plane, the system stays stable. But if they move to the right half, instability ensues.
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Letβs talk about Bode plots. Who can explain why we use them?
They help us visualize how the gain and phase of a system change with frequency.
Exactly! For example, imagine a Bode plot showing a gain drop at a pole frequency. Why is this significant?
Because it shows how feedback changes gain at different frequencies.
Perfect! Keep that idea in mind as you analyze Bode plots in the future.
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We have four cases concerning pole relationships. Can anyone summarize Case II-A?
In Case II-A, the poles are far apart, leading to a straightforward system response.
Great! Now, how about Case II-B?
In Case II-B, the poles are closer, which could potentially lead to dynamics involving complex poles.
Right! Always remember that 'DOP' and 'CPS' can help you retain what we discussed.
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It elaborates on how the positioning of poles in a feedback system can impact gain plots, describing scenarios with dominant and complex conjugate poles while emphasizing the implications of these conditions on system stability and frequency response.
This section explores the effect of feedback on the frequency response of analog electronic circuits, focusing on the location of poles in feedback systems. It begins by discussing the importance of dominant and secondary poles, particularly in analyzing how their proximity affects the overall gain and stability of the circuit.
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So, if I consider say, p it is even beyond this point, something like this and then if it is having p ok.
In this introduction to the gain plot of the system A, we are trying to visualize the location of the poles in the feedback system. The poles, represented as points on a graph, determine the behavior and stability of the system. The position of these poles can be critical as it impacts the overall gain and frequency response of the system. By defining 'p', the speaker suggests that if 'p' is located further away from a reference point, it may exhibit different characteristics compared to when it's closer.
Think of the poles as anchors of a boat. If the anchors (poles) are further away from the boat (system), the boat can sway more with the waves (frequency changes). However, if the anchors are closer, the boat remains stable and balanced.
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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.
The forward amplifier in the feedback system features two distinct poles, p1 and p2. The mention of Ξ² (beta) implies that this feedback configuration does not vary with frequency, meaning it stays constant as the frequency changes. Understanding the stability that emerges from a negative feedback system is crucial here, as it can often lead to improved performance and damping of unwanted oscillations in a circuit.
Imagine you are riding a bike on a windy day. The bike represents the forward amplifier and the wind pushes against you representing external changes (frequency). If you have a friend (negative feedback) who stabilizes you from wobbling, you can ride much smoother despite the wind.
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if I again if I come back to the feedback system gain A which is having an expression of and then we obtain this expression.
In this chunk, we discuss how the feedback system gain A can be affected by the positions of the dominant pole p1 compared to p2. By assuming that p1 is the dominant pole due to its lower frequency, we can simplify our analysis by considering only the most significant pole while ignoring the less significant effects from the other pole. This approximation allows us to focus on the poles that have the most influence on the system's behavior.
Think of a room with two noisy people arguing (p1 and p2). If you are trying to concentrate on one person's argument, you might ignore the other as it doesnβt significantly affect your understanding. This helps clarify your focus.
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So depending on the coefficient of s square, here and s and their relative value, we may get expression of the poles it will be complex.
As we analyze the behavior of the feedback system, we note that if the coefficients of the polynomial in the denominator change relative to each other, it might provide complex pole locations. These complex poles can significantly alter the system's response, potentially introducing oscillations or instabilities that are not present when all poles are real. Understanding this helps in designing more stable feedback systems.
Imagine a pendulum swinging. If we introduce some forces that arenβt aligned (like wind from different directions), the pendulum might start swinging erratically instead of smoothly, akin to how complex poles can lead to unexpected behavior in a circuit system.
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So let me try to sketch the Bode plot of A, A and maybe the loop gain also.
The Bode plot is a graphical representation of the gain and phase across frequencies. When sketching the Bode plot for gain A, we observe two poles at p1 and p2. These poles help shape the responses in both the magnitude (gain) and phase components of the feedback system, showcasing the stability and transient response due to the feedback gains.
Think of a chef adjusting spices in a dish. The gain plot is like a recipe showing how flavorful a dish is at different amounts of spices (frequencies). Poles on this plot represent optimal spice levels that bring out the best flavors without making it too spicy or bland.
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Key Concepts
Pole: A location in the transfer function influencing system behavior.
Dominant Pole: The primary pole impacting the response characteristics of the system.
Complex Poles: Occur when poles are close together, affecting stability and response.
Bode Plot: Used for graphical analysis of frequency response in feedback systems.
See how the concepts apply in real-world scenarios to understand their practical implications.
In a feedback amplifier circuit, if one pole is at 1 kHz and another at 10 kHz, the first is considered dominant.
As the feedback increases in strength, a second pole moving closer to the dominant pole may lead to complex conjugation.
Use mnemonics, acronyms, or visual cues to help remember key information more easily.
When poles are close and start to play, oscillation arises, come what may!
Imagine two dancers on a stage, as they move closer, their rhythm syncs, leading to an oscillation that captivates the audience.
Remember 'DOP' for Dominant Over Poles to ensure you recall which pole directs the flow.
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Review the Definitions for terms.
Term: Pole
Definition:
A point in a transfer function where the gain becomes infinite.
Term: Dominant Pole
Definition:
The pole that has the most significant impact on the system's frequency response.
Term: Complex Conjugate Pole
Definition:
A pair of poles that arise when two poles are closely spaced, leading to oscillatory behavior.
Term: Bode Plot
Definition:
A graphical representation of a system's frequency response, showing gain and phase over a frequency range.
Term: Stability
Definition:
The ability of a system to maintain a desired response without oscillation or divergence.