Stator resistance identification based on neural and fuzzy logic principles in an induction motor drive

This paper presents a method for stator resistance identification of an induction motor in an indirect rotor field-oriented control system. This method is based on a simple artificial neural network, in which the rotor time constant is no longer considered to be a constant parameter, but is instead...

Full description

Saved in:
Bibliographic Details
Published in:Neurocomputing (Amsterdam) 2010, Vol.73 (4), p.602-612
Main Authors: Vukadinovic, Dinko, Basic, Mateo, Kulisic, Ljubomir
Format: Article
Language:English
Subjects:
Adaptive control
Fuzzy logic
Indirect field-oriented control
Induction motor
Neural network
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This paper presents a method for stator resistance identification of an induction motor in an indirect rotor field-oriented control system. This method is based on a simple artificial neural network, in which the rotor time constant is no longer considered to be a constant parameter, but is instead identified using an adaptive model reference system-based procedure. The neural network outputs the estimated rotor speed. The difference between the actual and the estimated rotor speed is used as a signal for either manual or automated fuzzy logic stator resistance identification. Simulations and experiments show the effectiveness of the described approach.
ISSN:0925-2312
1872-8286
DOI:10.1016/j.neucom.2009.06.017