DSP control shunt APF with harmonic extraction by adaptive neural network

Author

Rukonuzzaman, M. ; Nishida, Katsumi ; Nakaoka, Mutsuo

Author_Institution

Div. of Electr. Syst. Eng., Yamaguchi Univ., Japan

Volume

2

fYear

2003

fDate

12-16 Oct. 2003

Firstpage

1215

Abstract

Current harmonics are the major concern in three-phase diode bridge rectifier with inductor or capacitor filters and it is necessary to compensate the harmonics exist in the nonlinear load to keep the utility supply current sinusoidal and free from undesired harmonics. In this paper, a novel signal processing technique with adaptive neural network is applied to determine the total harmonic current in the nonlinear load. The technique can determine the harmonic current in real time and its effectiveness is substantiated with DSP based experimental setup in three-phase shunt active power filter.

Keywords

active filters; bridge circuits; digital control; neural nets; power conversion harmonics; power harmonic filters; rectifying circuits; signal processing; DSP control shunt APF; adaptive neural network; capacitor filters; harmonic extraction; harmonics compensation; inductor filters; nonlinear load; signal processing technique; three-phase diode bridge rectifier; three-phase shunt active power filter; total harmonic current; undesired harmonics; Active filters; Adaptive control; Adaptive systems; Bridges; Digital signal processing; Diodes; Neural networks; Power harmonic filters; Programmable control; Shunt (electrical);

fLanguage

English

Publisher

ieee

Conference_Titel

Industry Applications Conference, 2003. 38th IAS Annual Meeting. Conference Record of the

Print_ISBN

0-7803-7883-0

Type

conf

DOI

10.1109/IAS.2003.1257705

Filename

1257705