Optimal iterative learning control design for generator voltage regulation system

Authors : Mohsen Rezaei ESTAKHROUIEH, Aliakbar GHARAVEISI

Pages : 1909-1919

Doi:10.3906/elk-1203-19

View : 16 | Download : 14

Publication Date : 0000-00-00

Article Type : Research Paper

Abstract :The purpose of this paper is to design a good tracking controller for the generator automatic voltage regulator insert ignore into journalissuearticles values(AVR); system. It uses an iterative learning control insert ignore into journalissuearticles values(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 insert ignore into journalissuearticles values(LQ); optimal design. The results of designing by LQ optimal method are compared with a Ziegler--Nichols proportional-integral-derivative insert ignore into journalissuearticles values(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