How Do Settling Time and Overshoot Change as System Gain Increases to Infinity?

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1. Homework Statement + the attempt at solution
I have the next transfer function:

[tex]H(s)=\frac{P(s)}{1+C(s)P(s)}[/tex]

where [tex]P(s)=\frac{20}{(s^2-2s+9)(s+100)}[/tex]

[tex]C(s)=m(s+40)[/tex]

Now I want to find the settling time and overshoot of [tex]H(s)[/tex] as [tex]m\rightarrow \infty[/tex] to whithin 5 percent accuracy.

Now what I thought when [tex]m\rightarrow \infty[/tex] [tex]H(s)\approx \frac{1}{C(s)}[/tex].

So basically in this case the quadratic equation (in the notation of next webpage:
http://wikis.lib.ncsu.edu/index.php/Second_Order_Dynamics) is:

[tex]s^2+(-2s+20ms)+(9+800m)[/tex]

Is this right or am I just rambling nonsense here, I am lost here.



Homework Equations


I know that when we have the Quadratic ploynomial in the denominator of [tex]G(s)=P(s)C(s)[/tex] s.t:
[tex]s^2+2\zeta \omega_n s +\omega_n ^2[/tex]

then the settling time is given by:

[tex]t_s \approx \frac{3}{\zeta \omega_n}[/tex]

and the overshoot is given by:

[tex]\sigma = exp(\frac{-\zeta \pi}{\sqrt{1-\zeta^2}})[/tex]

Any hints or advice are welcomed and much appreciated.

Thanks.
 
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Are you familiar with the root locus method? It describes the path the roots take when a single parameter, like m, is varied. I would need to do a little review before giving a better answer but maybe this will get you started.
 
Yes I know about the RL.

I am not sure how to calculate the overshoot and settling time here, though I know that I need to look at the Bode graph of [tex]\frac{1}{m(s+40)}[/tex]

And I know that the frequency that the asymptote to the the magnitude of the above expression intersects the [tex]\omega[/tex] axis is given by: [tex]\omega= 40[/tex].

Other than that, I am not sure how to procceed, any advice?
 
My reaction is to agree with you that as m → ∞, H(s) = 1/C(S) = 1/m(s+40).

The impulse response to this H(s) is simply (1/m)exp(-40t). The step response is simply (1/m)[1 - exp(-40t)]. In neither case is there any overshoot. So I am as confused as you ... :smile:
 
MathematicalPhysicist said:
And what of the settling time of 1/C(s)?

Thank you for your help.

Since the output is an exponential decay you can compute settling time depending on your definition of "settling time". For example, if the input is a step function, and "settling time" ts is defined as 95% of "final" value, then you solve for ts from 1 - exp(-40ts) = 0.95.
 
The problem with m→∞ is that the response goes to zero. So you can't let m→∞. Maybe you can say m becomes large enough that it dominates the response. Then I do agree with what you have been saying. You can call the (s+100) pole insignificant as I think you did or you could do this, which is another way to deal with these sorts of boundary case problems:

[itex]0=1+C(s)P(s)=s^3+98s^2+(20m-191)s+(900+800m)[/itex]

Making m large can simplify this by making most terms too small to be counted. Dividing by m yields this:

[itex]0=\frac{1}{m}(s^3+98s^2-191s+900)+20s+800\approx s+40[/itex]

This means you have a single pole response as you found.

Your root equation can be written in the standard form with the parameter m in the right place for root locus:

[itex]1+C(s)P(s)=1+m\frac{20(s+40)}{(s^2-2s+9)(s+100)}=1+mQ(s)[/itex]

The root locus method says as m begins at 0 and approaches ∞, the roots of this equation begin at the poles of Q(s) and end at the zeroes of Q(s). Q(s) has two zeroes at ∞ and one zero at -40. It has three poles, one at -100 and two complex conjugate ones. The conclusion from root locus is that with m→∞, there will be two roots at ∞ and one at -40. The finite root is (s+40) as found above.
 
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