How can I design a PID Controller to stabllize the plant 1/(s³+1) ?
I have a system, it’s Transfer function is :
1
— — — — — —
s³ + 1
and I want to design a Discrete PID Controller so discretized the plant at sampling time 0.05s :
0.000019z² + 0.00008z + 0.000021
— — — — — — — — — — — — — — — — — — — — — — — — — (Sorry, it is not clean..)
z³ -2.99994z² + 3.00006z — 1
This system is unstable and Discrete PID Controller Block’s autotuner cannot find Kp, Ki, Kd to stablize the system.
I want to design a PID Controller, not another Controller.
I think it should be added such a filter, derivative filter(Differtiator?) or a Integrator…
How can I design the PID Controller in Matlab and Simulink? It can be designed?
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o you have a transfer function G(s) = 1/(s³+1) and you want to find gains P,I,D for your controller K(s) = P+D*s+I/s. As commonly known, the closed loop transfer function T(s) can be written as;
T(s) = K(s)*G(s)/(1+G(s)*K(s))
If you plugin G(s) and K(s) functions, you will obtain;
T(s) = (D*s² + P*s + I) / (s⁴ + D*s² + (P+1)*s + I)
From here, it should be clear that a simple controller, K(s) = P+D*s+I/s, cannot stabilize the system (hint: routh-hurwitz stability criterion). That’s why your controller needs to have a term that will show up as the s³ term.
One option is to add a C*s² term to your controller. This way your K(s) = P+D*s+I/s+C*s², and resulting closed loop transfer function is;
T(s) = (C*s³ + D*s² + P*s + I)/( s⁴ + C*s³ + D*s² + (P+1)*s + I )
For instance, imagine you want to place your poles to (-4+0i) (continous time model), then your characteristic equation needs to be;
(s+4)⁴ = s⁴ + 16*s³ + +96*s² + 256*s + 256 = ( s⁴ + C*s³ + D*s² + (P+1)*s + I )
From here, by matching the coefficients, you can find the controller
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