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Today, weβll investigate how the location of poles impacts the behavior of feedback systems. Letβs start by discussing what poles are in relation to a transfer function.
Are poles just where the function goes to infinity?
Exactly! Poles are the values of s that make the denominator of a transfer function zero. They are crucial because they influence the system's stability and response.
What happens if we have both real and complex poles?
Good question! If poles are real, they can lead to different types of natural response. However, when poles are complex conjugates, they introduce oscillatory behavior. Remember, the location of these poles often dictates if our system is stable or not. A useful mnemonic is 'DOMINANT POLE' for the pole that governs the system's behavior.
So dominant poles are more influential?
Yes! Dominant poles generally dictate the systemβs response. Letβs proceed to discuss how feedback can shift these poles.
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Feedback affects the location of the poles due to changes in gain A and the feedback factor Ξ². Can anyone tell me the effects of increasing feedback?
It should theoretically stabilize the system, right?
Exactly! Increased feedback can push poles into more stable configurations. The expression p' = p(1 + Ξ²A) reflects such changes. A helpful acronym here is 'SPLIT' for how feedback might split pole locations in complex systems.
Does that mean if poles get too close, they might become complex?
Yes, precisely! When poles are close or converge, they can emerge as a complex conjugate pair, which changes the systemβs response significantly.
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Bode plots are essential for visualizing the gain and phase of feedback systems. Can someone elaborate on their significance?
They help visualize how the system behaves over a range of frequencies.
Correct! The corner frequencies where poles shift help indicate stability. The term 'CROSSING POINT' can help you remember key frequencies.
What kind of behavior should we expect from complex poles on the plot?
Great question! Complex poles lead to overshoot and resonance, making our response more oscillatoryβin contrast to stable real poles which would lead to a smoother response.
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The section delves into how the placement of poles in feedback systems influences the frequency response, particularly through various cases demonstrating real and complex conjugate poles. Understanding these concepts is crucial for analyzing system stability and performance.
This section of Analog Electronic Circuits primarily addresses the effect of feedback on the frequency response of systems, particularly in relation to pole locations. Feedback systems can significantly alter the behavior of poles, impacting the stability and performance of circuits.
As we progress through this content, it will become increasingly clear how these concepts serve as foundational elements in the design and analysis of analog electronic systems.
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So in the next slide we are going to compare the location of poles. So we like to compare location of poles for these two cases.
In this section, we focus on comparing the location of poles in different scenarios (case II-A and case II-B). We look at how the positions of the poles in the forward amplifier circuit influence the behavior of the feedback system. Poles can greatly affect the stability and frequency response of a circuit.
Think of poles in a circuit like the supports of a bridge. If the supports (poles) are too close together, the bridge may sway or even collapse under stress, leading to instability. However, if they are positioned correctly, the bridge remains strong and stable.
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In fact, we prefer this condition rather than this condition. Now suppose, we do have a case where A is having only one pole and suppose, the feedback network Ξ² is having another pole and then what it may happen?
This part discusses the preferable conditions for pole arrangement. It describes a scenario where one pole from the forward amplifier and another from the feedback network is considered. The dominant pole in the feedback system affects how the overall circuit behaves, especially in terms of stability and response to changes.
Imagine a seesaw with weights placed at different points. If one weight is too heavy or placed too far from the center, it will tip easily. However, if the weights (poles) are balanced correctly, the seesaw (system) will behave predictably and smoothly.
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So I can say that A, it is having frequency independent part, it is having this factor representing a 0.
In this chunk, we discuss the presence of zero points in relation to the poles in the circuit. It is important to distinguish between poles (which can cause instability) and zeros (which can stabilize). Their positions also contribute to the overall behavior of the feedback system.
Consider driving a car where the accelerator (zero) can help maintain speed (stability) while brakes (poles) can slow you down (cause instability). The skill lies in managing both to ensure a smooth drive.
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So below the UGF the feedback system gain, it is approximately...
This section emphasizes the significance of the unity gain frequency (UGF). The behavior of the system is defined differently below and above this frequency, which is crucial for analyzing stability and designing circuits.
Think of UGF like a critical point in cookingβlike boiling water. Below boiling, water (the system) remains stable and predictable. Above boiling, the reaction changes dramatically, much like how system behavior alters past the UGF.
Learn essential terms and foundational ideas that form the basis of the topic.
Key Concepts
Pole: The points where the system's transfer function becomes infinite, impacting response and stability.
Feedback: The process of returning part of the output back to the input to control system behavior.
Complex Conjugate Poles: Indicate oscillatory behavior in systems and can arise from closely spaced real poles.
See how the concepts apply in real-world scenarios to understand their practical implications.
Example 1: If a system has poles at -3 and -10, it is stable since both poles are real and in the left half-plane.
Example 2: A feedback system with poles at -3 Β± 4j will exhibit oscillatory behavior due to the presence of complex conjugate poles.
Use mnemonics, acronyms, or visual cues to help remember key information more easily.
In the feedback loop, we find the poles, in left and right, they guide our roles.
Imagine an engineer at a feedback control board watching how a car accelerates with poles determining the smoothness of the ride.
Use 'FAST' to remember: Feedback Adjusts Stability Through poles.
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Review the Definitions for terms.
Term: Pole
Definition:
A point in the complex frequency domain where the transfer function becomes infinite, significantly affecting system stability and response.
Term: Feedback
Definition:
A process in which a portion of output signal is fed back into the system input, impacting system behavior and stability.
Term: Stable System
Definition:
A system where poles are located in the left half of the complex plane resulting in a bounded output for bounded input.
Term: Complex Conjugate Poles
Definition:
Pairs of poles with the same real parts but imaginary parts equal in magnitude and opposite in sign, resulting in oscillatory behavior.
Term: Bode Plot
Definition:
A graphical representation of a system's frequency response plotted as gain and phase against frequency on a logarithmic scale.