Three-phase active power filter control using neural networks

A new control method for active power filters (APF) using neural networks is presented. It is pulse width modulation control (PWM) designed with two blocks that include neural networks. The first one includes adaptive networks that estimate the reference compensation current; adaptive linear neurons...

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Bibliographic Details
Main Authors: Vazquez, J.R., Salmeron, P.R.
Format: Conference Proceeding
Language:English
Subjects:
Active filters
Adaptive systems
Backpropagation algorithms
Computer languages
Hysteresis
Multi-layer neural network
Neural networks
Neurons
Pulse width modulation
Space vector pulse width modulation
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Description
Summary:A new control method for active power filters (APF) using neural networks is presented. It is pulse width modulation control (PWM) designed with two blocks that include neural networks. The first one includes adaptive networks that estimate the reference compensation current; adaptive linear neurons (Adaline) were used. The second one includes a feedforward network that works as a hysteresis band comparator; this network is multilayer and it has been trained by a backpropagation algorithm. A practical case with Matlab-Simulink is presented to check the proposed control performance.
DOI:10.1109/MELCON.2000.879683