Turkish Journal of Electrical Engineering and Computer Sciences
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.
DOI
10.3906/elk-1203-19
Keywords
Iterative learning control, linear quadratic optimal control, automatic voltage regulation
First Page
1909
Last Page
1919
Recommended Citation
ESTAKHROUIEH, M. R, & GHARAVEISI, A. A (2013). Optimal iterative learning control design for generator voltage regulation system. Turkish Journal of Electrical Engineering and Computer Sciences 21 (7): 1909-1919. https://doi.org/10.3906/elk-1203-19
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Computer Engineering Commons, Computer Sciences Commons, Electrical and Computer Engineering Commons
