Design of Fuzzy-Neuro Controller Applicated to a Synchronous Generator Excitation Control System

Author

Wang Hong-jun ; Zhao Hui

Author_Institution

Tianjin Key Lab. for Control Theor. & Applic. in Complicated Syst., Tianjin Univ. of Technol., Tianjin, China

Volume

1

fYear

2010

fDate

13-14 March 2010

Firstpage

997

Lastpage

999

Abstract

A fuzzy-neuro controller has been designed to stabilize the frequency and voltage output of a synchronous generator. The structure of the proposed control system consists of two PI -like fuzzy controllers and two neural networks. With this control scheme, difficulty for tuning scale factors of the fuzzy controller is reduced. Simulation results show that the system is robust to drastic changes on the load.

Keywords

control system synthesis; frequency stability; fuzzy control; machine control; neurocontrollers; synchronous generators; voltage regulators; PI-like fuzzy controller; frequency stabilization; fuzzy neuro controller design; neural networks; synchronous generator; synchronous generator excitation control system; tuning scale factors; voltage output stabilization; Control systems; Frequency; Fuzzy control; Fuzzy neural networks; Fuzzy systems; Neural networks; Robustness; Synchronous generators; Tuning; Voltage control; exciting system; fuzzy-neuro control; scale factors; synchronous generator;

fLanguage

English

Publisher

ieee

Conference_Titel

Measuring Technology and Mechatronics Automation (ICMTMA), 2010 International Conference on

Conference_Location

Changsha City

Print_ISBN

978-1-4244-5001-5

Electronic_ISBN

978-1-4244-5739-7

Type

conf

DOI

10.1109/ICMTMA.2010.109

Filename

5459616