Optimizing Response Time in Second Order Systems: Tips and Techniques

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Discussion Overview

The discussion revolves around the concepts of response time, settling time, and overshoot in second order systems. Participants explore the relationships between pole placement, settling time, and the effects of damping on system response, with a focus on optimizing response characteristics.

Discussion Character

  • Technical explanation
  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • One participant questions whether response time is synonymous with settling time and seeks clarification on how to decrease response time.
  • Another participant asserts that settling time is defined as the time for oscillations to remain within a certain margin of the steady state and suggests moving poles to the left to reduce settling time.
  • A different participant expresses confusion regarding the relationship between pole placement and settling time, referencing a textbook that suggests higher peaks result in longer settling times.
  • Some participants discuss the transient response of second order systems, noting that larger values of σ lead to smaller settling times.
  • There is a debate about whether settling time is independent of overshoot, with one participant using an analogy involving bouncing balls to argue that larger overshoot leads to longer settling times.
  • Another participant counters this analogy, suggesting that damping effects can lead to faster settling times despite higher initial overshoot.
  • One participant seeks to clarify if settling time is entirely independent of overshoot, proposing that it may depend more on the damping factor.
  • A later reply confirms that settling time is defined as the time taken to fall below 1% of the final value, indicating that this is consistent regardless of the amplitude of the response.

Areas of Agreement / Disagreement

Participants express differing views on the relationship between settling time and overshoot, with no consensus reached. Some argue that settling time is independent of overshoot, while others maintain that overshoot influences settling time. The discussion remains unresolved regarding the exact nature of these relationships.

Contextual Notes

Participants reference various definitions and properties of settling time, rise time, and pole placement, but there are unresolved assumptions about the definitions and implications of these terms in different contexts.

LM741
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hey guys...

Say i have a second order system. From this i can establish a peak time, a settling time, and overshoot percentage...
but what is my response time - is the settling time?

Also is there some sort of rule of thumb for decreseing the response time??
like say, for example, increasing the frequency of where my poles occur will decrease my response time? this question may be bit general as there are probably many ways to decrease response time - but if you could tell what sort of realtionship the frequency of my poles/zeros have on the response time - that would be great!


thanks

john
 
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I don't think there is some property named response time.
There is the settling time: the time the response takes for the oscillations stay below a certain margin (1% or 2%) of the steady state response. To reduce settling time the poles must be moved to the left, far from the imaginary axis.
There is also the rise time: the time the response takes to go from 10% to 90% of the steady state value (before the first overshoot, if it exists). To reduce it the frequency must increase. An overdamped system has a slow rise time. That's why we require the dominant poles to be complex.
 
thanks SGT
something i don't get that you mentioned: "To reduce settling time the poles must be moved to the left, far from the imaginary axis."
the thing is I've got this textbook which portrays the peaks at higher values (on an amplitude vs time graph) as the poles move further to the left...surely this means it will take longer for the signal to settle (i.e. settling time INCREASES). I figure this, because the peak has shot up higher therefore it will take longer to settle down...
thanks again
 
LM741 said:
thanks SGT
something i don't get that you mentioned: "To reduce settling time the poles must be moved to the left, far from the imaginary axis."
the thing is I've got this textbook which portrays the peaks at higher values (on an amplitude vs time graph) as the poles move further to the left...surely this means it will take longer for the signal to settle (i.e. settling time INCREASES). I figure this, because the peak has shot up higher therefore it will take longer to settle down...
thanks again
If your poles are:
[tex]p_{1,2} = -\sigma \pm j\omega_d[/tex]
Your transient response will be:
[tex]Ke^{-\sigma t}cos(\omega_d t + \phi)[/tex]
Your settling time (time for the transient to reach 1% of its initial value) is:
[tex]t_s =\frac{5}{\sigma}[/tex]
So, the larger is [tex]\sigma[/tex], the smaller the settling time.
 
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do you aggree with me the the peak amplitude increases as the poles move further away from the origin??

thanks for reply
 
Yes. But no matter how big is the initial overshoot, the oscillations will reduce fast.
 
really?? are you trying to say that the settling time is independent of the size of overshoot the system experiences?
i find that very hard to believe??
take a very basic analogy: I perform two experiments with a bouncing ball:
The first experiment i throw the bouncing ball extrelemy hard against a hard flat surface and then wait for the ball to SETTLE down.
The second experiment, i merley drop the ball letting gravity do the work and once again - wait for the ball to SETTLE down.Surely the first experiment (larger overshoot) will take a longer time for the bouncing ball to settle down??
Thhis is assuming the ball is the signal and the height of the first bounce is the overshoot.

this is why i can't easily except that the settling time is independent of overshoot.

thanks for reply
John
 
LM741 said:
really?? are you trying to say that the settling time is independent of the size of overshoot the system experiences?
i find that very hard to believe??
take a very basic analogy: I perform two experiments with a bouncing ball:
The first experiment i throw the bouncing ball extrelemy hard against a hard flat surface and then wait for the ball to SETTLE down.
The second experiment, i merley drop the ball letting gravity do the work and once again - wait for the ball to SETTLE down.Surely the first experiment (larger overshoot) will take a longer time for the bouncing ball to settle down??
Thhis is assuming the ball is the signal and the height of the first bounce is the overshoot.

this is why i can't easily except that the settling time is independent of overshoot.

thanks for reply
John

Your example with the bouncing ball is not valid. The valid experiment would be:
  1. Take a ball and drop it in a hard surface (concrete, for instance).
  2. Put a layer of foam in the hard surface and throw the cball very hard against it, so that the first bounce is higher than when the ball fell in the hard surface.
Even if the first bounce is higher in the second case, it will settle faster, because of the damping caused by the foam.
For the second order system, the transient term, as I said is of the form:
[tex]Ke^{-\sigma t}cos(\omega_d t + \phi)[/tex]
The first peak occurs at a time [tex]t_p[/tex], when the cosine equals 1.
The value of the peak is [tex]Ke^{-\sigma t_p}[/tex].
The amplitude of the peak depends of the values of K and [tex]t_p[/tex]. High values of K and small values of [tex]t_p[/tex] increase the amplitude.
Both effects happen when the poles are displaced to the left.
The damping depends on [tex]\sigma[/tex]. After a time [tex]t_s = \frac{5}{\sigma}[/tex] the amplitude is only 1% of K. Clearly, the greater is [tex]\sigma[/tex], the smaller is [tex]t_s[/tex].
 
brilliant analogy with the foam! thanks!
so is it safe to say that the settling time is TOTALLY independent of the overshoot/undershoot amplitude?- r or is this definition to general! it seems like at the end of the day - the settling time really depends on the damping factor?
thanks so much again.
John
 
  • #10
Yes, settling time is the time the response takes to fall below 1% of its final value. Since [tex]e^{-5} = 0.0067[/tex], we see that after 5 time constants the transient term is only 0.67% of the maximum amplitude, no matter what its value.
 
  • #11
thanks sgt!
really helps
 

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