Sistema de sincronismo de frecuencia de muestreo variable utilizando redes neuronales (Synchronization method with variable sampling frequency using Neuronal Networks)

Ignacio Carugati (icarugati@fi.mdp.edu.ar), Sebastian Maestri (somaestri@fi.mdp.edu.ar), Patricio Donato (donatopg@fi.mdp.edu.ar), Daniel Carrica (), Mario Benedetti ()


Universidad Nacional de Mar del Plata, Argentina
This paper appears in: Revista IEEE América Latina

Publication Date: Sept. 2011
Volume: 9,   Issue: 5 
ISSN: 1548-0992


Abstract:
This article presents a alternative synchronization method for three phase systems based on Artificial Neuronal Networks. The training signals are obtained from a synchronism method designed with a conventional control whose objective is to achieve a sampling frequency at a N times higher frecuency with regard to the input signals. As a consequence of the complexity of the system, it is modelled with two different neural networks. The objective of the first one is to estimate the input signal phase and the objective of the second one is to generate a variable sampling frequency. The system is evaluated with typical disturbances, obtaining a similar behaviour in comparison with the conventional system. MATLAB simulations results are presented.

Index Terms:
Artificial Neural Networks, Synchronization, Power Systems   


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