Ziegler-Nichols method and closed loop characteristic equations.

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Discussion Overview

The discussion revolves around the application of the Ziegler-Nichols method in determining closed-loop characteristic equations for a control system problem presented in an exam context. Participants explore the necessary background in Laplace transforms and control theory to solve the problem, which involves deriving transfer functions and analyzing system stability.

Discussion Character

  • Homework-related
  • Technical explanation
  • Debate/contested

Main Points Raised

  • One participant expresses confusion about the problem's requirements and the need for knowledge of Laplace transforms to derive the closed-loop characteristic equation.
  • Another participant suggests that the input u(s) represents the controller function modified by the proportional and integral gains Kp and Ki.
  • Some participants discuss the use of the quadratic formula to find poles and the conditions under which they remain in the left-hand plane.
  • There is mention of applying the final-value theorem to determine steady-state output error, with differing interpretations of how this relates to the implementation of PI control.
  • One participant notes that the Ziegler-Nichols gains are intended to achieve a desired response characteristic.
  • Another participant questions whether the problem's complexity is appropriate given the course's content and their prior experience with Laplace transforms.

Areas of Agreement / Disagreement

Participants generally express uncertainty about the problem and the necessary background knowledge. There is no consensus on how to approach the problem or the implications of the final-value theorem in this context.

Contextual Notes

Participants highlight limitations in their understanding of Laplace transforms and control theory, which may affect their ability to solve the problem. There is also a mention of the problem's age and its relevance to the current course material.

CalebP
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Hi Guys,

Attached is a problem from an old exam for a Process Control and Instrumentation unit.

I have tried everything I know (which isn't much, it's not the main assessable portion of the unit).

Other questions similar involve giving us either the characteristic closed loop equation or the controller function and deriving it from there.

We take the characteristic equation and sub in s = wj (j being sqrt(-1)) and can solve for both the I am and Re parts being zero, obtaining the critical value of K and the corresponding w, then using the table becomes quite elementary.

Working backwards to discover G(s) gets tricky due the s being on top (or a 1/s below)

This is the only example I can find where I'm given the overall output function Y(s), so working backwards to find the characteristic equation... I just don't know how, or if it's done differently.

Much of google gives tips of how to effectively use Z-N in real or simulated situations, but this is for an exam. Most of the unit is comprised of sensors, analog and digital conditioning and PLC diagrams, so these control loops/PID are kind of tacked on the end. The last time I touched Laplace was ~5 years ago.

I'm sure there's a really simple solution.

Please help. Thanks.
 

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Given the system F(s) plus PI controller gains Kp and Ki, what is the modified transfer function y/u?

From that, determine under what conditions poles are confined to the left-hand plane (hint: use quadratic formula to find the poles as a function of F, Kp and Ki.)

Determine the Z-N values of Kp and Ki from your table.

Use the final-value theorem for the Z-N y/u with a ramp input to determine steady-state output error.
 
Gah, I really have no idea what I'm doing. I've never seen this stuff before and it's two weeks worth of notes in one unit.

What exactly have I been given in this question? Do I need any knowledge of Laplace to solve this? Is the input u(s) the controller function (involving tauI and tauD, in integral form or Laplace form), or is u(s) the Kp*error(t)...?

I think the first step to solving this is getting it in the form of a closed-loop characteristic equation - something I have no idea how to do. How do I involve the K parameter, is it just Kp for proportional control?

What I've tried is called the CLCE 1 + y(s).K and substituted s = iw. This yield K = ±1 and w = ±1 with the ultimates being Ku=1 and Pu=2pi

Is the final value theorem question trying to get me to so the SS error is zero because PI control is implemented?
 
CalebP said:
Gah, I really have no idea what I'm doing. I've never seen this stuff before and it's two weeks worth of notes in one unit.

What exactly have I been given in this question? Do I need any knowledge of Laplace to solve this? Is the input u(s) the controller function (involving tauI and tauD, in integral form or Laplace form), or is u(s) the Kp*error(t)...?

You definitely need a background in Laplace. I can't imagine how you'd be given a problem like this one without that .

u(t) is the input to your compensated system. The system (more commonly called plant) gets modified by the kp and ki gains to yield desired response y(t) to an input u(t). The purpose of Z-N gains is purportedly to effect an ideal response characteristic in some way or other.

I think the first step to solving this is getting it in the form of a closed-loop characteristic equation - something I have no idea how to do. How do I involve the K parameter, is it just Kp for proportional control?

What I've tried is called the CLCE 1 + y(s).K and substituted s = iw. This yield K = ±1 and w = ±1 with the ultimates being Ku=1 and Pu=2pi

You should look at Wikipedia's description under "PID Controllers". It's very good.

Is the final value theorem question trying to get me to so the SS error is zero because PI control is implemented?

The question was put to you badly. If you apply a constant input u(t) = c then the output will in the steady-state equal the input, thanks to the presence of the integrator (ki). So no error in this case.

But if you apply a ramp u(t) = ct, the output will lag the input, and the difference between input u and output y at any given time t is the error, as a percentage of the max. input.

I can't help you after this because any next hints would require a knowledge of manipulating Laplace-transformed variables and I am not permitted to give you an out-and-out solution.
 
Thanks,

I've done a small amount of Laplace (about 5 years ago :P) but never applied it, nor was that class a prereq.

The old exam was a 2008 edition so maybe I don't even need to know this for the unit. If you say it's needed then I'm guessing I don't have to know this stuff.

Thanks for your trouble.
 

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