Control of induction motor drive using artificial neural network

المؤلفون المشاركون

Ali, Taifour
Abbas, Abd al-Aziz Y. M.
Osman, Ekram Hassabo Ubayd

المصدر

Journal of Science and Technology : in Engineering and Computer Sciences

العدد

المجلد 15، العدد 2 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-7، 7ص.

الناشر

جامعة السودان للعلوم و التكنولوجيا عمادة البحث العلمي

تاريخ النشر

2014-12-31

دولة النشر

السودان

عدد الصفحات

7

التخصصات الرئيسية

الهندسة الكهربائية

الملخص 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.

نمط استشهاد جمعية علماء النفس الأمريكية (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

نمط استشهاد الجمعية الأمريكية للغات الحديثة (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

نمط استشهاد الجمعية الطبية الأمريكية (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

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references : p. 6-7

رقم السجل

BIM-439447