Publication:
Takagi�Sugeno Fuzzy Logic Controller for DFIG Operating in the Stand-Alone Mode: Simulations and Experimental Investigation

dc.citedby2
dc.contributor.authorChabani M.S.en_US
dc.contributor.authorBenchouia M.T.en_US
dc.contributor.authorGolea A.en_US
dc.contributor.authorBenmouna A.en_US
dc.contributor.authorIqbal M.en_US
dc.contributor.authorBecherif M.en_US
dc.contributor.authorGolea N.en_US
dc.contributor.authorid57201975132en_US
dc.contributor.authorid9334596300en_US
dc.contributor.authorid6603021651en_US
dc.contributor.authorid57191838421en_US
dc.contributor.authorid57209544879en_US
dc.contributor.authorid22233339000en_US
dc.contributor.authorid6602399388en_US
dc.date.accessioned2024-10-14T03:17:32Z
dc.date.available2024-10-14T03:17:32Z
dc.date.issued2023
dc.description.abstractIn this paper, an enhanced control scheme for doubly fed induction generators (DFIGs) operating in the standalone mode is proposed and experimentally validated. The intended aim is to regulate the amplitude and frequency of DFIG stator voltage profile, subjected to variations in the electrical load and rotor speed. For that, the excitation of DFIG is manipulated via rotor side converter (RSC), typically known as field-oriented control strategy fed by a hysteresis current controller. To reach the projected aim, a fuzzy logic controller (FLC) is implemented and systematically investigated. Compared to its counterpart Mamdani type, the fuzzy inference system (FIS) is based on Takagi�Sugeno (T�S) method, which is justified by comparatively lower computational burden and enhanced practical implementation. The advantages of the proposed T�S based FLC are highlighted by conducting a comprehensive comparison with the conventional PI controller and Mamdani type FLC. Both the simulations study and experimental verification are conducted under diverse scenarios: (i) a wide range of rotor speed, (ii) sudden variations in the electrical load, and (iii) step changes in the desired stator voltage profile. The simulation study and experimental analysis are, respectively, conducted via MATLAB/Simulink platform and dSPACE DS1104 platform. The results depict superior performance of proposed T�S type FLC scheme, when compared with the conventional PI controller. Moreover, based on experimental findings, the proposed scheme leverages 0.26�ms reduction in the computational time (vs Mamdani FLC), facilitating a superior practical implementation. � 2023, King Fahd University of Petroleum & Minerals.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1007/s13369-023-07704-0
dc.identifier.epage14620
dc.identifier.issue11
dc.identifier.scopus2-s2.0-85150456565
dc.identifier.spage14605
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85150456565&doi=10.1007%2fs13369-023-07704-0&partnerID=40&md5=8fb20bbc70a7beace641cf133e82fbd2
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/33965
dc.identifier.volume48
dc.pagecount15
dc.publisherInstitute for Ionicsen_US
dc.sourceScopus
dc.sourcetitleArabian Journal for Science and Engineering
dc.subjectDoubly fed induction generator
dc.subjectFrequency and voltage control
dc.subjectFuzzy logic controller
dc.subjectPI controller
dc.subjectTakagi�Sugeno
dc.titleTakagi�Sugeno Fuzzy Logic Controller for DFIG Operating in the Stand-Alone Mode: Simulations and Experimental Investigationen_US
dc.typeArticleen_US
dspace.entity.typePublication
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