Neural networks applied for induction motor speed sensorless estimation
Dénes Fodor, Florin Ionescu, Dan Floricău, J.P. Six, Philippe Delarue, D. C. Diana, G. Griva · 2002
In this paper, two schemes using neural networks (NN) as speed estimators in induction motor field oriented controlled (FOC) drives are compared. The first estimator consists of a two-layer neural network (often called a perceptron) while in the second a three-layer neural network is used for motor speed estimation. Both estimators are simulated with an indirect field oriented controller (IFOC) for induction motor drives.