Artificial neural network for detection of asynchronous state

Abstract

An asynchronous state of a synchronic machine may be identified through determining the amplitudes of particular components of stator's current provided that a constant slip value is assumed. Following a synchronism loss, this adopted value is assumed to be achieved and, for sure, exceeded. New parallel algorithms for detection of asynchronous state of synchronic machines, are proposed. The algorithms can be implemented by analogue adaptive circuits employing some neural networks principles. This chapter provides a description of artificial neural networks realising this task, whose operation algorithm is based on minimum square error criteria and maximum loss method.