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Hi,
In the paper, it suggests that using small values of parameters, Kp = 0.01 and Ki = 0.001. The results presented in the paper look nice but the small values require large number of iterations to achieve significant change of beta. Is there a way for faster tuning of beta value? Thanks.
The text was updated successfully, but these errors were encountered:
Hi Thanks for your question. You can set a large initial value of beta_0 in front of PI Control algorithm. Then Beta will be very large in the beginning.
Hi Thanks for your question. You can set a large initial value of beta_0 in front of PI Control algorithm. Then Beta will be very large in the beginning.
Thanks for the suggest. I am asking is there any suggest to fast change value of beta during PID algorithm training? Thanks.
Hi,
In the paper, it suggests that using small values of parameters, Kp = 0.01 and Ki = 0.001. The results presented in the paper look nice but the small values require large number of iterations to achieve significant change of beta. Is there a way for faster tuning of beta value? Thanks.
The text was updated successfully, but these errors were encountered: