What is the range of values for stability using the Routh-Hurwitz criterion?

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Discussion Overview

The discussion revolves around determining the range of values for stability using the Routh-Hurwitz criterion applied to the polynomial equation ##s^3 + 3s^2 + 2(1 + K_p)s + 2K_i = 0##. Participants explore the implications of the Routh-Hurwitz stability conditions and the relationships between the parameters ##K_p## and ##K_i##.

Discussion Character

  • Homework-related
  • Technical explanation
  • Debate/contested

Main Points Raised

  • One participant outlines the application of the Routh-Hurwitz criterion and derives conditions for stability, suggesting that ##K_p > -1## and ##K_i > 0##.
  • The same participant proposes that the condition ##\frac{K_i}{K_p} < \frac{3}{K_p} + 3## leads to the conclusion that ##0 < \frac{K_i}{K_p} < 13.5##.
  • Another participant expresses uncertainty about the conclusion, noting that testing specific values (##K_i = 10, K_p = 1##) in MATLAB results in instability, thus questioning the validity of the derived range.
  • A later reply asserts that the Routh table is correct and introduces a necessary and sufficient condition for stability: ##K_i \leq 3(1 + K_p)##, while also suggesting a weaker but sufficient condition of ##K_i \leq 3K_p##.

Areas of Agreement / Disagreement

Participants do not reach a consensus. There are competing views regarding the validity of the derived stability range, with some asserting that the conclusion is incorrect based on practical testing, while others maintain that the mathematical derivations are sound.

Contextual Notes

Participants highlight potential errors in the source material and emphasize the importance of verifying the correctness of the provided information. There are unresolved aspects regarding the transition from the derived inequalities to specific numerical conclusions.

Dustinsfl
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Homework Statement


Find the stability of ##s^3 + 3s^2 + 2(1 + K_p)s + 2K_i = 0##.

Homework Equations


Routh-Hurwitz criterion

The Attempt at a Solution


By the Routh-Hurwitz stability criterion, we have
$$
\begin{array}{ccc}
s^3 & 1 & 2(1 + K_p)\\
s^2 & 3 & 2K_i\\
s^1 & \frac{6(1 + K_p) - 2K_i}{3} & 0\\
s^0 & 2K_i & 0
\end{array}
$$
From the ##s^3## line, we have that ##2(1 + K_p) > 0##; therefore, ##K_p > -1##. From the ##s^2## and ##s^0## line, we have that ##2K_i > 0##; thus, ##K_i > 0##. From the ##s^1## line, we have that ##6K_p - 2K_i + 6 > 0##; therefore,
$$
\frac{K_i}{K_p} < \frac{3}{K_p} + 3.
$$
I am supposed to conclude
$$
0 < \frac{K_i}{K_p} < 13.5.
$$
From line ##s^2##, we get greater than zero, but what do I do to go from ##\frac{3}{K_p} + 3## to ##13.5##?
 
Last edited:
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To be honest I do not know. I went through the routh-Hurwitz criterion and got the same results you did

If you plug in 10 for ki and 1 for kp the system is unstable (i ran it in matlab)
therefore the conclusion that 0<ki/kp<13.5 is incorrect

I recommend confirming that all the information you provided us is correct, and all the information provided to you is correct.
 
donpacino said:
To be honest I do not know. I went through the routh-Hurwitz criterion and got the same results you did

If you plug in 10 for ki and 1 for kp the system is unstable (i ran it in matlab)
therefore the conclusion that 0<ki/kp<13.5 is incorrect

I recommend confirming that all the information you provided us is correct, and all the information provided to you is correct.

Is the information from the book:
I had to use the link since the image appears too big on the site.
http://i.imgur.com/M5Ks5up.jpg?1

M5Ks5up.jpg
 
Last edited:
Must be an error in your book. Your Routh table is correct, so to avoid any sign changes in the first column for ##K_p > 0, K_i > 0##, we must have:
<br /> \begin{align}<br /> 6(1 + K_p) - 2K_i \geq 0 \Leftrightarrow K_i \leq 3(1 + K_p) \quad (1)<br /> \end{align}<br />
Although (1) being true is necessary and sufficient for stability, the weaker condition:
<br /> K_i \leq 3K_p \Leftrightarrow \frac{K_i}{K_p} \leq 3<br />
is sufficient.
 

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