Title :
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
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);
Conference_Titel :
Industry Applications Conference, 2003. 38th IAS Annual Meeting. Conference Record of the
Print_ISBN :
0-7803-7883-0
DOI :
10.1109/IAS.2003.1257705
