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Please use this identifier to cite or link to this item: https://repository.sustech.edu/handle/123456789/4899
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dc.contributor.authorOsman, Ekram Hassabo Abaid
dc.contributor.authorSupervisor,- Awadalla Taifour Ali
dc.date.accessioned2014-05-11T11:36:20Z
dc.date.available2014-05-11T11:36:20Z
dc.date.issued2012-02-01
dc.identifier.citationOsman,Ekram Hassabo Abaid .Control of Induction Motor Drive Using Artificial Neural Networks/Ekram Hassabo Abaid Osman;‫ Awadalla Taifour Ali.-Khartoum:Sudan University of Science and Technology,College of Engineering,2012.-69p. : ill. ; 28cm.-M.Sc.‬en_US
dc.identifier.urihttp://repository.sustech.edu/handle/123456789/4899
dc.descriptionThesisen_US
dc.description.abstractThe three phase induction motor drive is a dynamic, nonlinear system and its difficult to controlled due to nonlinearity and 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 such as Conventional Proportional-Integral (PI) controller and Artificial Neural Networks (ANNs) controller. Using MATLAB/SIMULINK software, three phase induction motor model is built for the simulation studies. Also performance of the controllers has been verified through simulation using MATLAB/SIMULINK software. The ANNs is trained so that the speed of the drive tracking the reference speed. The ANNs controller enhances the performance and dynamics of the induction motor compared to conventional PI controller.en_US
dc.description.sponsorshipSudan University of Science and Technologyen_US
dc.language.isoenen_US
dc.publisherSudan University of Science and Technologyen_US
dc.subjectElectrical Engineeringen_US
dc.subjectMicroprocessor and Electronic Controlen_US
dc.subjectInduction Motor Driveen_US
dc.subjectArtificial Neural Networksen_US
dc.titleControl of Induction Motor Drive Using Artificial Neural Networksen_US
dc.title.alternative‫التحكم في قيادة المحرك الحثي‬‫ باستخدام الشبكات العصبية الاصطناعية‬en_US
dc.typeThesisen_US
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