Control of Induction Motor Drive using Artificial Neural Network

Please use this identifier to cite or link to this item: https://repository.sustech.edu/handle/123456789/20558

Title:	Control of Induction Motor Drive using Artificial Neural Network
Authors:	Ali, Taifour Abbas, Abdelaziz Y. M. Osman, Ekram Hassabo Abaid
Keywords:	Artificial Neural Networks Control P.W.M Pulse Width Modulation Back propagation vector control
Issue Date:	4-Dec-2014
Publisher:	Sudan University of Science and Technology
Citation:	Ali, Taifour . Control of Induction Motor Drive using Artificial Neural Network \ Taifour Ali , Abdelaziz Y. M. Abbas , Ekram Hassabo Abaid Osman .- Journal of Engineering and Computer Sciences (ECS) .- vol 15 , no2.- 2014.- article
Abstract:	The induction motor drive is a dynamic nonlinear system with uncertainty in the machine parameters. The aim of this study is to improve tracking performance of the induction motor drive. A method for controlling induction motor drive is presented with conventional Proportional-Integral (PI) controller and Artificial Neural Networks (ANNs) controller. MATLAB/SIMULINK software is used to develop a three phase induction motor model. Also the performances of the two controllers have been verified. The ANN is trained so that the speed of the drive tracks the reference speed. It is found that with the use of the ANN controller the performance and dynamics of the induction motor are enhanced as compared with that of a conventional PI controller.
Description:	Article
URI:	http://repository.sustech.edu/handle/123456789/20558
Appears in Collections:	Volume 15 No. 2

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