Sensorless Indirect Neural Control of Induction Motor

Abstract

In this article is presented indirect adaptive neural sensorless control in combination with vector principle for induction motor control. Control system containing neural controllers of the speed and flux channels. Neural speed estimator is designed as a neural model of the plant. For the controllers and estimator are used on-line trained backpropagation neural networks. Simulation research confirmed sufficient system performance at wide range input signal variation is done.