Neural Networks in Active Power Filtering
Concept, Design and Modeling
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Key Features -Covers research and development on the existing approaches of harmonic compensation techniques. -Includes the design and development of a simplified neural network model, training of the proposed model and simulation using MATLAB/Simulink. -Incorporates the real time implementation of neural network controller on Digital Signal Processor and performance evaluation under various load conditions. -Provides expanded coverage of development of hybrid active power filter circuit, mathematical modeling, and performance evaluation under various power system conditions (linear/nonlinear,...
Key Features -Covers research and development on the existing approaches of harmonic compensation techniques. -Includes the design and development of a simplified neural network model, training of the proposed model and simulation using MATLAB/Simulink. -Incorporates the real time implementation of neural network controller on Digital Signal Processor and performance evaluation under various load conditions. -Provides expanded coverage of development of hybrid active power filter circuit, mathematical modeling, and performance evaluation under various power system conditions (linear/nonlinear, balanced/unbalanced source and load conditions) by means of simulation.
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