000			01323nam a22001817a 4500
003			OSt
005			20240916175620.0
008			160516t xxu||||| |||| 00| 0 eng d
040			_cAUI
082			_bULL
100			_aUllah, Sami ( 131143) 2015 _917034
245			_aDesign of an artificial - inelligence based controller for DFIG based WECS to improve reference tracking and robustness With cd
260			_aIslamabad _bDepartment of Electrical Engineering ( Air Universty Main Campus) _c2015.
300			_aviii; 54 p. _eCD
520			_aEnergy 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.
526			_aMS
942			_2ddc _cSP
999			_c14131 _d14131