Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.13091/1698
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Farah, Nabil | - |
dc.contributor.author | Talib, Md Hairul Nizam | - |
dc.contributor.author | İbrahim, Zülkifilie | - |
dc.contributor.author | Abdullah, Qazwan | - |
dc.contributor.author | Aydoğdu, Ömer | - |
dc.contributor.author | Azri, Maaspaliza | - |
dc.contributor.author | Isa, Zainuddin Mat | - |
dc.date.accessioned | 2022-01-30T17:32:54Z | - |
dc.date.available | 2022-01-30T17:32:54Z | - |
dc.date.issued | 2021 | - |
dc.identifier.issn | 2169-3536 | - |
dc.identifier.uri | https://doi.org/10.1109/ACCESS.2021.3128351 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.13091/1698 | - |
dc.description.abstract | Fuzzy 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.sponsorship | Universiti Teknikal Malaysia Melaka (UTeM); Ministry of Education MalaysiaMinistry of Education, Malaysia [FRGS/1/2020/TK0/UTEM/02/45] | en_US |
dc.description.sponsorship | This 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.iso | en | en_US |
dc.publisher | Ieee-Inst Electrical Electronics Engineers Inc | en_US |
dc.relation.ispartof | Ieee Access | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | Computational Modeling | en_US |
dc.subject | Mathematical Models | en_US |
dc.subject | Tuning | en_US |
dc.subject | Drives | en_US |
dc.subject | Dc Motors | en_US |
dc.subject | Windings | en_US |
dc.subject | Fuzzy Systems | en_US |
dc.subject | Fuzzy | en_US |
dc.subject | Flc | en_US |
dc.subject | Im Drives | en_US |
dc.subject | Self-Tuning | en_US |
dc.subject | Computational Complexity | en_US |
dc.subject | Computational Efforts | en_US |
dc.subject | Fuzzy Rules | en_US |
dc.subject | Predictive Torque Control | en_US |
dc.subject | Indirect Vector Control | en_US |
dc.subject | Field-Oriented Control | en_US |
dc.subject | Scalar Control | en_US |
dc.subject | Pi Controller | en_US |
dc.subject | Machine | en_US |
dc.subject | System | en_US |
dc.title | Investigation of the Computational Burden Effects of Self-Tuning Fuzzy Logic Speed Controller of Induction Motor Drives With Different Rules Sizes | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.1109/ACCESS.2021.3128351 | - |
dc.identifier.scopus | 2-s2.0-85120535792 | en_US |
dc.department | Fakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü | en_US |
dc.authorid | Mat Isa, Zainuddin/0000-0001-7914-096X | - |
dc.authorwosid | Mat Isa, Zainuddin/E-5613-2011 | - |
dc.authorwosid | Farah, Nabil Salem/P-5154-2018 | - |
dc.authorwosid | ABDULLAH, QAZWAN/AAQ-5084-2020 | - |
dc.identifier.volume | 9 | en_US |
dc.identifier.startpage | 155443 | en_US |
dc.identifier.endpage | 155456 | en_US |
dc.identifier.wos | WOS:000722713300001 | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.authorscopusid | 57192554546 | - |
dc.authorscopusid | 57361518000 | - |
dc.authorscopusid | 57248349600 | - |
dc.authorscopusid | 57209279214 | - |
dc.authorscopusid | 14833966800 | - |
dc.authorscopusid | 36007105100 | - |
dc.authorscopusid | 57219536961 | - |
dc.identifier.scopusquality | Q1 | - |
item.openairetype | Article | - |
item.languageiso639-1 | en | - |
item.cerifentitytype | Publications | - |
item.grantfulltext | open | - |
item.fulltext | With Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
crisitem.author.dept | 02.04. 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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Investigation_of_the_Computational_Burden_Effects_of_Self-Tuning_Fuzzy_Logic_Speed_Controller_of_Induction_Motor_Drives_With_Different_Rules_Sizes.pdf | 4.36 MB | Adobe PDF | View/Open |
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