Optimal iterative learning control design for generator voltage regulation system

Authors

MOHSEN REZAEI ESTAKHROUIEH
ALI AKBAR GHARAVEISI

DOI

10.3906/elk-1203-19

Abstract

The purpose of this paper is to design a good tracking controller for the generator automatic voltage regulator (AVR) system. It uses an iterative learning control (ILC) algorithm as a control rule and tries to keep voltage error as low as possible, while replying to set point changes as fast as possible. Two models of ILC are discussed: P-type learning and linear quadratic (LQ) optimal design. The results of designing by LQ optimal method are compared with a Ziegler--Nichols proportional-integral-derivative (PID) controller. The effects of changing different parameters are investigated and illustrated by simulation. In order to provide better robustness for the design, a PID-ILC parallel structure is designed and simulated under system parameter changes.

Keywords

Iterative learning control, linear quadratic optimal control, automatic voltage regulation

First Page

1909

Last Page

1919

Recommended Citation

ESTAKHROUIEH, MOHSEN REZAEI and GHARAVEISI, ALI AKBAR (2013) "Optimal iterative learning control design for generator voltage regulation system," Turkish Journal of Electrical Engineering and Computer Sciences: Vol. 21: No. 7, Article 7. https://doi.org/10.3906/elk-1203-19
Available at: https://journals.tubitak.gov.tr/elektrik/vol21/iss7/7