Synchronization method with variable sampling frequency using Neuronal Networks

CARUGATI, I.; MAESTRI, S.; DONATO, PATRICIO G.; CARRICA, D.; BENEDETTI, M.

IEEE LATIN AMERICA TRANSACTIONS

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC

Año: 2011 vol. 9 p. 715 - 720

1548-0992

This article presents an alternative synchronization method for three-phase systems based on Artificial Neuronal Networks. Training signals are obtained from a synchronization method designed with a conventional control, whose objective is to achieve a sampling frequency at an N time higher frequency with respect to the input signals. Given the complexity of the system, it is modeled with two different neural networks. The objective of the first one is to estimate the input signal phase and that of the second one is to generate a variable sampling frequency. The system is evaluated with typical disturbances, obtaining a similar behavior in comparison with the conventional system. MATLAB simulation results are provided.