Control of induction motor drive using artificial neural network
Joint Authors
Ali, Taifour
Abbas, Abd al-Aziz Y. M.
Osman, Ekram Hassabo Ubayd
Source
Journal of Science and Technology : in Engineering and Computer Sciences
Issue
Vol. 15, Issue 2 (31 Dec. 2014), pp.1-7, 7 p.
Publisher
Sudan University of Science and Technology Deanship of Scientific Research
Publication Date
2014-12-31
Country of Publication
Sudan
No. of Pages
7
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Ali, Taifour& Abbas, Abd al-Aziz Y. M.& Osman, Ekram Hassabo Ubayd. 2014. Control of induction motor drive using artificial neural network. Journal of Science and Technology : in Engineering and Computer Sciences،Vol. 15, no. 2, pp.1-7.
https://search.emarefa.net/detail/BIM-439447
Modern Language Association (MLA)
Ali, Taifour…[et al.]. Control of induction motor drive using artificial neural network. Journal of Science and Technology : in Engineering and Computer Sciences Vol. 15, no. 2 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-439447
American Medical Association (AMA)
Ali, Taifour& Abbas, Abd al-Aziz Y. M.& Osman, Ekram Hassabo Ubayd. Control of induction motor drive using artificial neural network. Journal of Science and Technology : in Engineering and Computer Sciences. 2014. Vol. 15, no. 2, pp.1-7.
https://search.emarefa.net/detail/BIM-439447
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 6-7
Record ID
BIM-439447
