Experimental implementation of ANN based speed control for interior-type permanent magnet synchronous motors

Abstract

This paper presents a laboratory implementation of a novel speed control scheme for an interior-type permanent magnet synchronous motor using a self-tuning artificial neural network. The newly devised artificial neural network control structure based on the inverse motor dynamics and nonlinear load characteristics has been realized in real-time using a digital signal processor controller board DS-1102.