Optimal iterative learning control design for generator voltage regulation system

Mohsen REZAEI ESTAKHROUIEH, Aliakbar GHARAVEISI
2013 Turkish Journal of Electrical Engineering and Computer Sciences  
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
more » ... 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.
doi:10.3906/elk-1203-19 fatcat:isj7djbapjaqxjmfckt3rcakzy