DocumentCode :
3344356
Title :
Neural Network controlled three-phase three-wire shunt active Power Filter
Author :
Zouidi, Abdelaziz ; Fnaiech, Farhat ; Al-Haddad, Kamal
Author_Institution :
Ecole Super. des Sci. et Tech. de Tunis, Univ. de Tunis, Tunis
Volume :
1
fYear :
2006
fDate :
9-13 July 2006
Firstpage :
5
Lastpage :
10
Abstract :
Three-phase shunt active power filters (shunt APFs) are widely used in industrial applications to compensate for harmonics, generated by nonlinear loads. In order to succeed the compensation it´s necessary to assure current control in the AC side of the APF and voltage or current control in the DC side of the APF. In real practice PI controllers are the most common, as a novel and intelligent control technique neural network controllers are under study and investigation in such application. In this paper, a neural network controller is used to control a three- phase three-wire voltage source shunt APF, its performance in terms of harmonic compensation and speed of response are compared to those of classic PI controller.
Keywords :
PI control; active filters; control engineering computing; electric current control; harmonic analysis; intelligent control; neurocontrollers; power filters; voltage control; AC side; DC side; PI controllers; current control; harmonic compensation; neural network controllers; nonlinear loads; novel intelligent control technique; speed response; three-phase three-wire shunt active power filter; voltage control; Active filters; Artificial neural networks; Current control; Neural networks; Neurons; Power electronics; Power harmonic filters; Power system harmonics; Shunt (electrical); Voltage control; Three-phase three-wire shunt active power filter; harmonic compensation; neural network controller;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics, 2006 IEEE International Symposium on
Conference_Location :
Montreal, Que.
Print_ISBN :
1-4244-0496-7
Electronic_ISBN :
1-4244-0497-5
Type :
conf
DOI :
10.1109/ISIE.2006.295559
Filename :
4077890
Link To Document :
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