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Design of an artificial - inelligence based controller for DFIG based WECS to improve reference tracking and robustness With cd (Record no. 14131)

MARC details
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-- AUI
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Author Mark ULL
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Author Name Ullah, Sami ( 131143) 2015
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Title Design of an artificial - inelligence based controller for DFIG based WECS to improve reference tracking and robustness With cd
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Place of Publication Islamabad
Name of publisher, distributor, etc. Department of Electrical Engineering ( Air Universty Main Campus)
Date of publication, distribution, etc. 2015.
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Pages viii; 54 p.
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Koha item type Student Project
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-- 17034
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-- Energy demand and supply has always been a core issue in the world for decades. These days all the countries are trying to cope up with the rapidly growing energy demands due to high energy appliances and industrial machines. The renewable energy resources are a preferred area of interest for researchers as these resources are harmless to the environment. In this thesis I have tried to contribute towards wind energy generation systems based on doubly fed induction generator (DFIG) by designing an intelligent controller based on fuzzy systems to improve reference tracking and robustness. Two controllers, PI and fuzzy-intelligence based controllers are designed and the responses of the two controllers are compared using MATLAB Simulink.
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-- MS
Holdings
Withdrawn status Not for loan Permanent Location Current Location Shelving Location Date acquired Full Call Number Accession No./Barcode Date last seen Koha item type
Weeded Out { Not Available }   Air University Central Library Thesis Repository (5th Floor) Air University Central Library Thesis Repository (5th Floor) Electrical Engineering 05/16/2016 620 ULL MS TH1068 01/11/2017 Thesis
Air University Sector E-9, Islamabad Paksitan
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