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How to tune this Transfer Function using Zieger nichols or Cohen coon

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because from the this
s=tf('s');
sys=(5809000*s + 28060)/(s^3 + 571300*s + 1266);
step(sys)
i only get this
and the other one
num = [5809000 28060];
den = [1 571300 1266];
Gp = tf(num, den);
p = pole(Gp);
step(Gp, 50)
i get this
how do i tune using the zieger nichols or cohen coon from this?

Respuesta aceptada

Sam Chak
Sam Chak el 29 de Mayo de 2022
There is a typo in the denominator:
s^3
I think that Ziegler-Nichols and Cohen-Coon methods are more suitable if the mathematical model of the plant is unavailable. Nevertheless, you can try some automated tuning algorithm available in FileExchange:
I prefer human tuning (mathematically, or course) because the human operator can make the system to behave as desired. In this case, a compensator is used to make the system converge around 5 sec without signicant overshoot and undershoot.
s = tf('s');
Gp = (5809000*s + 28060)/(s^2 + 571300*s + 1266) % plant
Gc = 0.09835/(s^4 + 2.205*s^3 + 3.511*s^2 + 2.817*s + 0.0135) % compensator
Gsys = feedback(Gc*Gp, 1);
Gsys = minreal(Gsys)
step(Gsys, 15)

Más respuestas (2)

MRR
MRR el 30 de Mayo de 2022
You can try to obtain a FOPTD model (First Order Plus Time Delay). Then you can use several tuning rules, including Ziegler-Nichols, and Cohen-Coon. I link here one of our works related with the implementation of tuning rules by means of interactive tools developed in Matlab.
Hope it helps.

Kunal
Kunal el 19 de Feb. de 2023
s = tf('s'); Gp = (5809000*s + 28060)/(s^2 + 571300*s + 1266) % plant Gc = 0.09835/(s^4 + 2.205*s^3 + 3.511*s^2 + 2.817*s + 0.0135) % compensator Gsys = feedback(Gc*Gp, 1); Gsys = minreal(Gsys) step(Gsys, 15)

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