International Journal of System Signal Control and Engineering Application

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A New Optimal Method to Tune PI Controllers using Evolutionary Polynomial Regression

Arman Sharifi and Hooman Sadjadian
Page: 93-100 | Received 21 Sep 2022, Published online: 21 Sep 2022

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Abstract

A new optimal method is proposed to tune PI controllers for the First Order Plus Dead Time (FOPDT) models. In this approach, a performance index is employed with specification of the infinity-norm of the sensitivity and complementary sensitivity functions. This criterion determines desire values of PI controller parameters for a bank of FOPDT models. Then an Evolutionary polynomial regression is applied to extract a tuning rule for PI controllers. At the end, the performance of recommended method is evaluated by several case study simulations.

How to cite this article:

Arman Sharifi and Hooman Sadjadian. A New Optimal Method to Tune PI Controllers using Evolutionary Polynomial Regression.
DOI: https://doi.org/10.36478/ijssceapp.2017.93.100
URL: https://www.makhillpublications.co/view-article/1997-5422/ijssceapp.2017.93.100