Modeling and Speed Control of Induction Motor Drives Using Neural Networks

Speed control of induction motor drives using neural networks is presented. The mathematical model of single phase induction motor is developed. A new simulink model for a neural network-controlled bidirectional chopper fed single phase induction motor is proposed. Under normal operation, the true d...

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Bibliographic Details
Main Authors: V. Jamuna, S. Rama Reddy
Format: Article
Language:English
Published: Universitatea Dunarea de Jos 2010-08-01
Series:Analele Universităţii "Dunărea de Jos" Galaţi: Fascicula III, Electrotehnică, Electronică, Automatică, Informatică
Subjects:
Online Access:http://www.ann.ugal.ro/eeai/archives/2010/Paper_7_Jamuna_p40-49.pdf
Description
Summary:Speed control of induction motor drives using neural networks is presented. The mathematical model of single phase induction motor is developed. A new simulink model for a neural network-controlled bidirectional chopper fed single phase induction motor is proposed. Under normal operation, the true drive parameters are real-time identified and they are converted into the controller parameters through multilayer forward computation by neural networks. Comparative study has been made between the conventional and neural network controllers. It is observed that the neural network controlled drive system has better dynamic performance, reduced overshoot and faster transient response than the conventional controlled system.
ISSN:1221-454X