Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.13091/1698
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dc.contributor.authorFarah, Nabil-
dc.contributor.authorTalib, Md Hairul Nizam-
dc.contributor.authorİbrahim, Zülkifilie-
dc.contributor.authorAbdullah, Qazwan-
dc.contributor.authorAydoğdu, Ömer-
dc.contributor.authorAzri, Maaspaliza-
dc.contributor.authorIsa, Zainuddin Mat-
dc.date.accessioned2022-01-30T17:32:54Z-
dc.date.available2022-01-30T17:32:54Z-
dc.date.issued2021-
dc.identifier.issn2169-3536-
dc.identifier.urihttps://doi.org/10.1109/ACCESS.2021.3128351-
dc.identifier.urihttps://hdl.handle.net/20.500.13091/1698-
dc.description.abstractFuzzy Logic Controller (FLC) as speed controller is preferred in many AC machine drives, due to its ability to handle model non-linearity, speed variations and parameters change. Additionally, Self-Tuning FLC (ST-FLC) is a modified FLC controller to overcome the issues associated with a fixed parameter FLC and to avoid performance degradation of the machine drive. It can update the FLC parameters in accordance to any variation, changes or disturbances that may occur to the drive system. However, FLC system requires huge computation capacity which increases the computational burden of the overall machine drive system and may result in poor performance. This research proposed a simple ST-FLC mechanism to tune the main FLC speed controller. Three different rule-size of FLC (9, 25, and 49) rules are implemented with ST-FLC mechanism based Induction Motor (IM) drive. Performance comparison of the three different rule-size based ST-FLC is conducted based on simulation and experimental analysis. In addition, a computational effort is technically analyzed and compared for the three different rule-size. In the experiment, ST-FLC with less number of rules (9-rules) shows superior performance, lower sampling and lower computational efforts compared to ST-FLC with higher rule-size (25, 49) rules.en_US
dc.description.sponsorshipUniversiti Teknikal Malaysia Melaka (UTeM); Ministry of Education MalaysiaMinistry of Education, Malaysia [FRGS/1/2020/TK0/UTEM/02/45]en_US
dc.description.sponsorshipThis work was supported in part by Universiti Teknikal Malaysia Melaka (UTeM), and in part by the Ministry of Education Malaysia under Research Grant FRGS/1/2020/TK0/UTEM/02/45.en_US
dc.language.isoenen_US
dc.publisherIeee-Inst Electrical Electronics Engineers Incen_US
dc.relation.ispartofIeee Accessen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectComputational Modelingen_US
dc.subjectMathematical Modelsen_US
dc.subjectTuningen_US
dc.subjectDrivesen_US
dc.subjectDc Motorsen_US
dc.subjectWindingsen_US
dc.subjectFuzzy Systemsen_US
dc.subjectFuzzyen_US
dc.subjectFlcen_US
dc.subjectIm Drivesen_US
dc.subjectSelf-Tuningen_US
dc.subjectComputational Complexityen_US
dc.subjectComputational Effortsen_US
dc.subjectFuzzy Rulesen_US
dc.subjectPredictive Torque Controlen_US
dc.subjectIndirect Vector Controlen_US
dc.subjectField-Oriented Controlen_US
dc.subjectScalar Controlen_US
dc.subjectPi Controlleren_US
dc.subjectMachineen_US
dc.subjectSystemen_US
dc.titleInvestigation of the Computational Burden Effects of Self-Tuning Fuzzy Logic Speed Controller of Induction Motor Drives With Different Rules Sizesen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/ACCESS.2021.3128351-
dc.identifier.scopus2-s2.0-85120535792en_US
dc.departmentFakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.authoridMat Isa, Zainuddin/0000-0001-7914-096X-
dc.authorwosidMat Isa, Zainuddin/E-5613-2011-
dc.authorwosidFarah, Nabil Salem/P-5154-2018-
dc.authorwosidABDULLAH, QAZWAN/AAQ-5084-2020-
dc.identifier.volume9en_US
dc.identifier.startpage155443en_US
dc.identifier.endpage155456en_US
dc.identifier.wosWOS:000722713300001en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.authorscopusid57192554546-
dc.authorscopusid57361518000-
dc.authorscopusid57248349600-
dc.authorscopusid57209279214-
dc.authorscopusid14833966800-
dc.authorscopusid36007105100-
dc.authorscopusid57219536961-
dc.identifier.scopusqualityQ1-
item.openairetypeArticle-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.grantfulltextopen-
item.fulltextWith Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.author.dept02.04. Department of Electrical and Electronics Engineering-
Appears in Collections:Mühendislik ve Doğa Bilimleri Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collections
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