Neural Network Application for Flux and Speed Estimation in the Sensorless Decoupling Induction Motor Drive

This paper presents a novel approach to sensorless decoupling control of induction motor drives. It discusses the introduction of artificial neural networks (ANN) in the area of decoupling control of induction motors using the sensorless control principles. A decoupling controller and an ANN based flux estimator are realized. The data training are obtained from a computer simulation of the system. The methodology used to train the network is presented and the results show good dynamic performance of the sensorless decoupling control of the induction motors.