How to model PID with "derivative on process value"
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Hello,
First started using Matlab in college around 1991, LOL. Nothing like aging yourself...
Casual user really, have not kept up on Simulink at all.
Question is regarding Simulink's PID Ideal model. If I have tested things out correctly so far, it appears it (according to the equation) calculates the derivative based on the error. Fair enough.
Is there a way to have it calculate the derivative based on PV, or measurement instead? Sure, I could make my own custom PID model, but I was hoping to use Matlab's standard PID model which already includes windup, saturation, etc.
Thanks for the response!
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Sam Chak
2024-4-30
Hi @Kurt
Are you referring to placing the PID Controller block in the feedback path? For 2nd-order systems, if the Derivative filter coefficient is appropriately selected, then the PD Controller should function as a state-feedback controller, resulting in an Hurwitz system. In the provided example, the closed-loop system demonstrates a critically-damped response, as if a feedback gain matrix were employed for the Double Integrator process plant.
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Sam Chak
2024-4-30
Hi @Kurt
If you wish to utilize the Simulink PID Controller block while avoiding derivative kick, you can consider the following PID configuration. It should yield the same PID equation (Reverse mode) as depicted in the image. I recommend giving it a try.
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Sam Chak
2024-4-30
Hi @Kurt
The PD control scheme I mentioned is designed to mitigate the problem of derivative kick resulting from sudden Setpoint (SP) changes. If you need to incorporate integral action, you can place a PID controller in the Feedback path and a PI controller after the Step block (SP signal). This suggested control configuration aligns with the approach outlined in an article by APMonitor.
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