Online Rotor and Stator Resistance Estimation Based on Artificial Neural Network Applied in Sensorless Induction Motor Drive

Online Rotor and Stator Resistance Estimation Based on Artificial Neural Network Applied in Sensorless Induction Motor Drive

This paper presents a new approach method for online rotor and stator resistance estimation of induction motors using artificial neural networks for the sensorless drive. In this method, the rotor resistance is estimated by a feed-forward neural network with the learning rate as a function. The stat...

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Bibliographic Details
Main Authors: Tuan Pham Van, Dung Vo Tien, Zbigniew Leonowicz, Michal Jasinski, Tomasz Sikorski, Prasun Chakrabarti
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Energies
Subjects:
rotor resistance estimation
stator resistance estimation
sensorless control
artificial neural network (ANN)
indirect field-oriented control (IFOC)
Online Access:https://www.mdpi.com/1996-1073/13/18/4946

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