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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Autori principali:	Tuan Pham Van, Dung Vo Tien, Zbigniew Leonowicz, Michal Jasinski, Tomasz Sikorski, Prasun Chakrabarti
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2020-09-01
Serie:	Energies
Soggetti:	rotor resistance estimation stator resistance estimation sensorless control artificial neural network (ANN) indirect field-oriented control (IFOC)
Accesso online:	https://www.mdpi.com/1996-1073/13/18/4946
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