0
$\begingroup$

(Apologies for terrible formatting, first post and don't know how to make equations look nice)

The system is

$$G(s)=\frac{10}{4s^2+7s+23}$$

and the requirements are steady state error of zero, $10ms$ settling time, and at most $5\%$ overshoot. I think I understand how to find majority of these parameters, I'm just struggling with actually finding the $K_p$, $K_i$, and $K_d$ values for the controller.

Looking at steady state it seems I need either a PI or PID, as the others do not achieve $ss=0$.

The settling time and overshoot were used to find $ξ$ and $ω$, using $t=4/ξω$ and $$ξ=-\frac{\ln M}{\sqrt{\pi^2+\ln^2 M}}$$ with $M=0.05$, to give $ξ=0.69$ and $ω=579.6$.

My question now is how do I translate that into the variables used in the PID controller. Using some information previously given and posts here it looks like I need to find the characteristic equation using something like $(s+p)(s^2+2ωξs+ω^2)$, as the closed loop TF is third order (I think?), but everytime I try I end up with wild results that definitely do not give the correct step response.

Unless I'm wrong, the controller TF is either $(K_ps+K_i)/s$ or $(K_p s+K_i+K_d s^2)/s$, depending on whether using PI or PID, which would make the closed loop TF:

$$\frac{10 K_p s+K_i}{4s^3+7s^2+23s+10K_p s+10K_i}$$

OR

$$\frac{10K_p s+K_i+K_d s^2}{4s^3+7s^2+23s+10K_p s+10K_i+K_d s^2}$$

Again, depending on what controller. Either way I'm stumped. TIA.

$\endgroup$
2
  • 1
    $\begingroup$ "I think I understand how to find majority of these parameters" - what parameters did you find? Steady state 0 is a pretty simple constraint- at t=inf you will be where you want, exactly. The rest you should be able to model or calculate given a step input- how long does it take to settle and what is its overshoot when where you want to be suddenly shoots from one value to another? $\endgroup$
    – Abel
    Commented Oct 25, 2023 at 11:08
  • $\begingroup$ correct, you need the "I" term to drive steady state error to 0. You could solve this by factoring the denominator of G to get the plant's poles, then apply a design technique. The Bode graphical method is the easiest, and should work well here. $\endgroup$
    – Pete W
    Commented Jan 14 at 21:44

1 Answer 1

0
$\begingroup$

After deriving for closed-loop transfer function including controller, you need to find dominant poles of your system and aproximate your system as second-order system. The you can use root lous or pole placement to fit your specification.

$\endgroup$

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service and acknowledge you have read our privacy policy.

Not the answer you're looking for? Browse other questions tagged or ask your own question.