What is the significance of Laplace Transform in determining system stability?

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Discussion Overview

The discussion revolves around the significance of the Laplace Transform in determining system stability, particularly in the context of electrical circuits. Participants explore the mathematical representation of the Laplace Transform, its implications for frequency response, and its role in analyzing system stability.

Discussion Character

  • Technical explanation
  • Conceptual clarification
  • Debate/contested

Main Points Raised

  • Some participants question why the variable 's' in the Laplace Transform is associated with circuit frequency, with suggestions that it can be represented as either \( s = j\omega \) or \( s = \sigma + j\omega \).
  • One participant notes that 's' represents a complex frequency, where \( k \) is the real part and \( w \) is the imaginary part, and discusses how the Laplace Transform provides the transient frequency response compared to the Fourier Transform's steady-state response.
  • Another participant emphasizes the importance of the Laplace Transform in assessing system stability, distinguishing between global stability (whether a system will fail) and relative stability (the characteristics of the transient response).
  • Different stability categories are outlined, including overdamped, underdamped, and critically damped responses, with references to pole locations in the complex plane affecting system behavior.

Areas of Agreement / Disagreement

Participants express varying interpretations of the variable 's' and its implications for frequency response, indicating that multiple competing views remain. The discussion on system stability also reveals differing perspectives on how to categorize and assess stability.

Contextual Notes

Some participants reference external resources, such as books and Wikipedia, to clarify concepts, but there appears to be a lack of consensus on the explanations provided in those sources. The discussion includes assumptions about the definitions of stability and the behavior of poles in the complex plane.

Who May Find This Useful

This discussion may be useful for students and professionals in electrical engineering, control systems, and applied mathematics, particularly those interested in the analysis of system stability and the application of the Laplace Transform.

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After solving a simple circuit with a inductor L in series with resistor R Driven by Voltage source V0 by using Laplace Transform we get
I(s) = \frac{V}{s (R + Ls}
Why do we call this the frequency Domain response?
What does 's' represents?
 
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s = jω

Bob S
 
Bob S said:
s = jω
Bob S
What I was wondering is How come the Mathmatical abstract variable s come to represent the Circuit Frequency?
is s = \sigma + jω or just jω ?

Please, try to expand, more. At least write longer than your short name this time!
 
Bob S said:
Already did, (in fact, before starting this thread, in fact I always learn from wiki before starting thread), but either there is no explanation about my OP or that, I couldn't recognize it!
 
S represents the plane made up from the complex (jw) and real (sigma) axis. When studying the frequency response we are only interested in the complex axis so we cancel out sigma so that s = jw.
 
Hai you can refer to this book
Circuits and filters handbook chapter 3 on Laplace transform.
https://www.amazon.com/dp/0849383412/?tag=pfamazon01-20

I had the similar doubt like you. After reading the above book, I could understand how Laplace transform (LT) works. It is better if you yourself read and understand.
In the above book, LT is explained some what differently and is easily comprehensible.
free preview of some pages is available in google books.
 
Last edited by a moderator:
thecritic said:
Why do we call this the Frequency Domain response?
What does 's' represents?

The Laplace Transform gives you the Transient Frequency Response while
The Fourier Transform gives the Steady State [long term] Frequency Response

This is in contrast to the Time Domain Response which is what you see on an oscilliscope.

s is complex frequency
s = k + jw k the real part of the complex pole/zero and w the imaginary part

If you disturb a harmonic oscillator, it will oscillate and slowly die down until it stops.
Same is true for any system responding to an input.
Unless overdamped, you will see a sinusoidal oscillation dying down exponentially.

If you hit any system with a step function input [ abrupt change to a new value ]
it will go to the new commanded value but it will oscillate about that value before
settling down. Think of your car suspension system going over a bump.

If k is very small, the transient oscillation response takes a long time; if very large, response is over quickly.
If w is very small, the oscillation frequency is low; if very large, the frequency is very large.
 
In systems it is used to figure out the stability of the system.

thecritic said:
What I was wondering is How come the Mathmatical abstract variable s come to represent the Circuit Frequency?
is s = \sigma + j\omega or just jω ?

s = \sigma + j\omega

But usually that \sigma = 0
 
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  • #10
Isn't it that when \sigma \neq 0 means the poles do not lie on the unit circle in the pole zero plot?
 
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  • #11
Is that right?
 
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  • #12
Yes the Laplace Transform provides an analytic tool to determine system stability.
There are two kinds of stability a control systems engineer is concerned with.

First is Global Stability. That is if the system will "blow up" or oscillate until one of the components burns up, vibrates or fails for another reason. This occurs if the closed loop poles move into the right half plane of the complex Root Locus plane.

Second is Relative Stability. That is the characteristics of the transient response. The response to a disturbance or command signal. In general, relative stability falls into three categories;
1/ Overdamped; the losses are high and the system exponentially moves to the new value/state, but very slowly. Not a good design.
2/ Underdamped; the system oscillates about the new position and this oscillation decays exponentially to the new state/value.
3/ Critically damped; the system responds in the fastest possbile manner. This will be a small overshoot of about 2 to 4% to the new value and then settles down with only one or two periods of oscillation.

On the complex plane, if the poles lie on the line y = - x which is at 45degrees to the real axis, the response will be critical, the optimum response all systems shoot for.

If you are ever in an elevator that makes you feel a little impulse (jerk = first derivative of acceleration), either starting or stopping, the system is out of tune and needs adjustment to bring it back to critical response characteristics.

Cheers
 
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