PID tuning / optimization usig machine learning/deep learning algorithm
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Hello, I would like to ask about PID tuning using ML/DL algorithms. is there any article available in mathworks to do PID tuning using Machine learning for the optimization of the function. IF anyone did same thing, could you please help me?
I have created a model in Simulink. I want to do optimization to minimize the error. for that I want to do PID tuning.
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Raghava S N
2024-2-26
Hi Avdhut,
You could use the blocks that are shipped with the Reinforcement Learning Toolbox to tune a PID controller. An example application is also shipped with the documentation of the Reinforcement Learning Toolbox.
Please find the link to the same here - https://www.mathworks.com/help/reinforcement-learning/ug/tune-pi-controller-using-td3.html. This example shows how to tune the two gains of a PI controller using the twin-delayed deep deterministic policy gradient (TD3) reinforcement learning algorithm.You may adapt the workflows used in the above application (which tunes a PI controller) to your PID controller.
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