An Optimal State Feedback Controller Based Neural Networks for Synchronous Generator Excitation Control System

Abstract

In this paper, an artificial neural network (ANN) is designed to optimize the
matrix gain of state feedback controller. A linear mathematical model of a
synchronous generator with excitation system is used as controlled system.
The conventional methods that used to find the matrix gain need tedious
calculations with compared to neural networks. The simulation proves that
the proposed feedback controller based neural network optimization method has the better result in order to prove the dynamic performance of a single machine connected to infinite bus system(SMIB). The robustness of the proposed controller is tested by disturbance in excitation voltage. The results are compared with results of controller based on conventional methods. The
potentials of the proposed technique are investigated using MATLAB software.

DOI:http://dx.doi.org/10.11591/ijece.v3i4.3125