Overshoot Control: Determining k to Avoid Overshoot

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Discussion Overview

The discussion centers around determining the values of the constant k in a control system to avoid overshoot in the step response of a plant represented by a transfer function. Participants explore the mathematical relationships involved, including the Laplace transform and feedback systems, while addressing the implications of damping in the system's response.

Discussion Character

  • Technical explanation
  • Debate/contested
  • Homework-related

Main Points Raised

  • One participant presents the step response equation and asks how to determine k to avoid overshoot.
  • Another suggests that determining k involves plugging in the function that describes the plant and finding the damping.
  • A participant provides the relevant functions for the plant and the step response, seeking clarification on how to find k to prevent overshoot.
  • Another participant elaborates on the approach of using the Laplace transfer function and emphasizes the need to resolve the closed-loop response into a quadratic form to extract damping.
  • Concerns are raised about the appropriateness of the provided transfer function, questioning whether it represents a physically realizable system.

Areas of Agreement / Disagreement

Participants express differing views on the formulation of the transfer function and its implications for the control system. There is no consensus on the correct approach to determining k or the validity of the transfer function presented.

Contextual Notes

Some participants note potential issues with the transfer function being improper, which may affect the analysis. The discussion also reflects varying levels of familiarity with control theory concepts, suggesting a range of assumptions about the participants' backgrounds.

Who May Find This Useful

This discussion may be useful for students and professionals interested in control systems, particularly those dealing with overshoot in step responses and the mathematical analysis involved in feedback systems.

peripatein
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Hello,
Suppose I have the following step response:
ystep(t)=(kP/1+kP)(1-e(-t/τ))
where k is constant and P is the plant.
How may I determine the values of k for which there would be no overshoot?
 
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Seems to me you'd have to plug in whatever f(t) describes P and find the damping.
 
Here are the relevant functions:
P(s)=s^2+a1*s+a0
Y_step(s)=[kP(s)]/[1+kP(s)]
Now, how exactly do I find the values of k which would prevent an overshoot?
 
you're on the right track...

Laplace Transfer function of plant then is P(s) = s2 + a1s +a0

and when connected to feedback to close the loop takes that form KP/(1+KPh), h being feedback gain

so you'll have to expand that by plugging in P(s) to get Laplace transform of the closed loop,

and multiply that by a step, which in Laplace is 1/s,

which will result in a pretty long fraction
that'll have to be resolved by algebra

but since this looks like a homework problem it'll be quite do-able, for textbooks are that way.

Once the closed loop response is boiled down to a quadratic form it should be straightforward to extract damping.

Now - it was 1965 when i took modern control theory course
and my algebra has grown rusty, if you'll pardon a cheap excuse for not solving this and typing it out in latex.

Above is the approach i'd have used in 1965. I remember struggling with the algebra of this type problems, and still dread them.
Hopefully someone who's fresh will chime in now, i wanted to prime the pump for you. Could be they're teaching an easier method nowadays.
 
peripatein said:
... Suppose I have the following step response:
ystep(t)=(kP/1+kP)(1-e(-t/τ))
where k is constant and P is the plant ...

This looks an awful lot like you're mixing up frequency- and time-domain expressions. I assume P is a (complex-valued) transfer function. How did you arrive at this expression?

peripatein said:
Here are the relevant functions:
P(s)=s^2+a1*s+a0
Y_step(s)=[kP(s)]/[1+kP(s)] ...
Are you sure you have the right P(s)? I ask because it's not a proper transfer function, i.e. it cannot represent any physically realizable system, which is a tad unusual in introductory control theory.
 

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