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DSP Based Neural Network Controlled Parallel Hybrid Active Power Filter
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December 20, 2005
In this paper, a novel neural network controlled Hybrid Parallel Active Power Filter has been presented. The neural network controller comprises two similar adaptive linear neurons (ADALINE), and it has been designed to extract fundamental frequency components from non-sinusoidal and unbalanced currents. It has been shown that the proposed neural controller is simple, fast and accurate. The proposed system is implemented using Digital Signal Processor (DSP). Experimental results with different nonlinear loads are presented to confirm the validity of the proposed technique.
Published Online: 2005-12-20
©2011 Walter de Gruyter GmbH & Co. KG, Berlin/Boston
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Keywords for this article
ADALINE;
Harmonics;
Hybrid Active Power Filter;
Neural Network.
Articles in the same Issue
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- An ANN-Based High Impedance Fault Detection Scheme: Design and Implementation
- DSP Based Neural Network Controlled Parallel Hybrid Active Power Filter
- Power System Stability Computer Simulation Using a Differential-Algebraic Equation Solver
- Individual Channel Design for Synchronous Generators
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