Please use this identifier to cite or link to this item: https://repository.sustech.edu/handle/123456789/8955
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dc.contributor.authorAbd Alla, Maysoon Eltayeb Abd Al Wahab
dc.contributor.authorSupervisor,- Awadalla Taifour Ali
dc.date.accessioned2014-12-16T12:20:50Z
dc.date.available2014-12-16T12:20:50Z
dc.date.issued2014-04-20
dc.identifier.citationAbd Alla, Maysoon Eltayeb Abd Al Wahab .Design and Analysis of Power System Stabilizer Using NERO-FUZZY Controller/Maysoon Eltayeb Abd Al Wahab Abd Alla; Awadalla Taifour Ali.-khartoum:Sudan University of Science and Technology,College of Engineering,2014.-77p:ill;28cm.-M.Sc.en_US
dc.identifier.urihttp://repository.sustech.edu/handle/123456789/8955
dc.descriptionthesisen_US
dc.description.abstractThis thesis presents a comparative study of various controllers for the Power system stabilizer. The most commonly used controller for the Power System Stabilizer is conventional Proportional- Integral- Derivative (PID) controller. However, the PID controller has some disadvantages such as: the high starting overshoot, sensitivity to controller gains and sluggish response due to sudden disturbance.Therelatively design PID controller with computational optimization approach method is proposed to overcome the disadvantages of the conventional PID controller. Further, two Fuzzy logic based controllers namely; Fuzzy control and Neuro-fuzzy control are proposed in this study and the performance of these controllers are compared with PID controller performance. Simulation results are presented and analyzed for all controllers. It was observed that Neuro-fuzzy controller gives a better response than other controllers for the Power System Stabilizer.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.subjectAstaqrarakaddrh design systemen_US
dc.subjectThe use of controlled nervous mysteriousen_US
dc.titleDesign and Analysis of Power System Stabilizer Using NERO-FUZZY Controlleren_US
dc.title.alternativeتصميم نظام استقرارالقدرة و تحليله باستخدام المتحكم العصبي الغامضen_US
dc.typeThesisen_US
Appears in Collections:Masters Dissertations : Engineering

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