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A Shunt Active Power Filter With Enhanced Performance Using ANN-Based Predictive and Adaptive Controllers
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DOI：10.1109/TIE.2010.2070770.png)
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摘要
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This paper attempts to improve the dynamic performance of a shunt-type active power filter. The predictive and adaptive properties of artificial neural networks (ANNs) are used for fast estimation of the compensating current. The dynamics of the dc-link voltage is utilized in a predictive controller to generate the first estimate followed by convergence of the algorithm by an adaptive ANN (adaline) based network. Weights in adaline are tuned to minimize the total harmonic distortion of the source current. Extensive simulations and experimentations confirm the validity of the proposed scheme for all kinds of load (balanced and unbalanced) for a three-phase three-wire system.
Keyword:
Adaline
current control
nonlinear load
shunt active power filter (APF)
total harmonic distortion (THD)
voltage source inverter
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IF:
7.2
论文数:
1.8W
被引数:
9.8W
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30 YEARS OF ADAPTIVE NEURAL NETWORKS - PERCEPTRON, MADALINE, AND BACKPROPAGATION.png)
PROCEEDINGS OF THE IEEE
PROCEEDINGS OF THE IEEEIF25.9
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