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https://pidtuner.com Tune Your PID Controller

https://pidtuner.com can help with that

Not to control, but to compensate. This is what the I action in the PID does, compensate for un-modeled disturbances

We can move this discussion here : https://github.com/pidtuner/pidtuner.github.io/issues/11

The trick is that, even though the augmented state is uncontrollable, you still use it in the predictions, so the MPC algorithm can still compensate for it. Take a look at the befo…

The code is C++ code, It could be ported to an MCU if there is a fairly recent C* compiler (C11+). But the algorithms are quite expensive, there are multiple matrix inversions, the…

That's literally what you can do with the tool. Did you clicked the "Get Started" button?

You are right, but the problem of a possible analogous "Machine Learning Theory" is that machine learning problems are highly nonlinear, and control theory has only been "solved" f…

I suggest to take a look to the canonical PID implementation of the Arduino library. It includes a simple but effective anti-windup mechanism: http://brettbeauregard.com/blog/2011/…

The problem with many adaptive control techniques is that is very difficult to prove the closed loop stability and performance margins, because such systems are highly nonlinear an…

The tuning rules from Skoge provide very decent robustness margins. ( https://folk.ntnu.no/skoge/publications/2001/tuningpaper_ren... )

True to that, but this tool hopes to provide an educated initial guess.

Maybe the youtube videos help with this? https://www.youtube.com/channel/UCkRD7FztiFOdX50BUsOkcSQ

Thanks. It is C++ code using Armadillo for linear algebra and BLAS/LAPACK subroutines. Source code is a bit messy, but will try to clean it up and put it on a different repo when I…