DocumentCode
3312287
Title
Active Power Filter of Three-Phase Based on Neural Network
Author
Dai, Wenjin ; Wang, Yu
Author_Institution
Dept. of Inf. Eng., Nanchang Univ., Nanchang
Volume
7
fYear
2008
fDate
18-20 Oct. 2008
Firstpage
124
Lastpage
128
Abstract
This paper presents a novel control design of shunt active power filter to compensate reactive power and reduce the unwanted harmonics. A shunt active filter is realized employing three-phase voltage source inverter (VSI) and a control circuit. The shunt active filter acts as a current source, which is connected in parallel with a nonlinear load and controlled to generate the required compensation currents. The control circuit using neural network controller is proposed. One adaptive neural network (ANN) controller is designed to estimate the harmonic components of the distorted load current and supply voltage [1]. A power factor correction function is incorporated in the shunt active filter to achieve a power factor that is near to unity. The different cases are considered and then simulated in order to show validity of the active power filter with neural network control.
Keywords
active filters; adaptive control; control system synthesis; neurocontrollers; power factor correction; power filters; power system harmonics; reactive power control; adaptive neural network controller; compensation currents; control circuit; control design; distorted load current; harmonic components; power factor correction function; reactive power; shunt active power filter; supply voltage; unwanted harmonics; voltage source inverter; Active filters; Adaptive systems; Circuits; Control design; Inverters; Neural networks; Power harmonic filters; Power system harmonics; Reactive power control; Voltage control; Ative power filter; current control; harmonics; neural network;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation, 2008. ICNC '08. Fourth International Conference on
Conference_Location
Jinan
Print_ISBN
978-0-7695-3304-9
Type
conf
DOI
10.1109/ICNC.2008.924
Filename
4667957
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