Design and implementation of a neural controller for power factor correction

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2009

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Abstract

This paper introduces a new control approach based on multi-layered perceptron to handle reactive power of the system with the help of a synchronous motor compensator. The neural system was trained with backpropagation with momentum. The perceptron parameters were obtained from an off-line training and then inserted in a microcontroller for the correction. The results have shown that the approach presented in this work provides accurate, simple, low-cost and fast correction than the conventional compensators available in the literature. © 2009 CRL Publishing Ltd.

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Keywords

Backpropagation , Electric power factor , Microcontrollers , Synchronous motors , Control approach , Multi-layered , Neural controller , Neural systems , Off-line training , Perceptron , Power factor corrections , Controllers

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http://akademikarsiv.cbu.edu.tr:4000/handle/123456789/18632

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