A hybrid moth-flame fuzzy logic controller based integrated cuk converter fed brushless DC motor for power factor correction

This research work deals with a hybrid control system based integrated Cuk converter fed brushless DC motor (BLDCM) for power factor correction. In this work, moth-flame optimization (MFO) and a fuzzy logic controller (FLC) have been combined and a moth-flame fuzzy logic controller (MFOFLC) has been...

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Main Authors: Kamalapathi K., Priyadarshi N., Padmanaban S., Holm-Nielsen J.B., Azam F., Umayal C., Ramachandaramurthy V.K.
Other Authors: 57204576033
Format: Article
Published: MDPI AG 2023
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spelling my.uniten.dspace-236232023-05-29T14:50:34Z A hybrid moth-flame fuzzy logic controller based integrated cuk converter fed brushless DC motor for power factor correction Kamalapathi K. Priyadarshi N. Padmanaban S. Holm-Nielsen J.B. Azam F. Umayal C. Ramachandaramurthy V.K. 57204576033 57195679733 18134802000 14421042300 57195670768 55337795000 6602912020 This research work deals with a hybrid control system based integrated Cuk converter fed brushless DC motor (BLDCM) for power factor correction. In this work, moth-flame optimization (MFO) and a fuzzy logic controller (FLC) have been combined and a moth-flame fuzzy logic controller (MFOFLC) has been proposed. Firstly, the BLDC motor modeling is composed with the power factor correction (PFC) based integrated Cuk converter and BLDC speed is regulated using variable DC-Link inverter voltage which results in a low switching operation with fewer switched losses. Here, with the use of a switched inductor, the task and execution of the proposed converter is redesigned. The DBR (diode bridge rectifier) trailed by a proposed PFC based integrated Cuk converter operates in discontinuous inductor conduction mode (DICM) for achievement of better power factor. MFO is exhibited for gathering of a dataset from the input voltage signal. At that point, separated datasets are sent to the FLC to improve the updating function and minimization of torque ripple. However, our main objective is to assess adequacy of the proposed method, but the power factor broke down. The execution of the proposed control methodology is executed in the MATLAB/Simulink working platform and the display is assessed with the existing techniques. � 2018 by the authors. Licensee MDPI, Basel, Switzerland. Final 2023-05-29T06:50:34Z 2023-05-29T06:50:34Z 2018 Article 10.3390/electronics7110288 2-s2.0-85056226240 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85056226240&doi=10.3390%2felectronics7110288&partnerID=40&md5=79d617e8a16e12735b5c678358223143 https://irepository.uniten.edu.my/handle/123456789/23623 7 11 288 All Open Access, Gold, Green MDPI AG Scopus
institution Universiti Tenaga Nasional
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country Malaysia
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description This research work deals with a hybrid control system based integrated Cuk converter fed brushless DC motor (BLDCM) for power factor correction. In this work, moth-flame optimization (MFO) and a fuzzy logic controller (FLC) have been combined and a moth-flame fuzzy logic controller (MFOFLC) has been proposed. Firstly, the BLDC motor modeling is composed with the power factor correction (PFC) based integrated Cuk converter and BLDC speed is regulated using variable DC-Link inverter voltage which results in a low switching operation with fewer switched losses. Here, with the use of a switched inductor, the task and execution of the proposed converter is redesigned. The DBR (diode bridge rectifier) trailed by a proposed PFC based integrated Cuk converter operates in discontinuous inductor conduction mode (DICM) for achievement of better power factor. MFO is exhibited for gathering of a dataset from the input voltage signal. At that point, separated datasets are sent to the FLC to improve the updating function and minimization of torque ripple. However, our main objective is to assess adequacy of the proposed method, but the power factor broke down. The execution of the proposed control methodology is executed in the MATLAB/Simulink working platform and the display is assessed with the existing techniques. � 2018 by the authors. Licensee MDPI, Basel, Switzerland.
author2 57204576033
author_facet 57204576033
Kamalapathi K.
Priyadarshi N.
Padmanaban S.
Holm-Nielsen J.B.
Azam F.
Umayal C.
Ramachandaramurthy V.K.
format Article
author Kamalapathi K.
Priyadarshi N.
Padmanaban S.
Holm-Nielsen J.B.
Azam F.
Umayal C.
Ramachandaramurthy V.K.
spellingShingle Kamalapathi K.
Priyadarshi N.
Padmanaban S.
Holm-Nielsen J.B.
Azam F.
Umayal C.
Ramachandaramurthy V.K.
A hybrid moth-flame fuzzy logic controller based integrated cuk converter fed brushless DC motor for power factor correction
author_sort Kamalapathi K.
title A hybrid moth-flame fuzzy logic controller based integrated cuk converter fed brushless DC motor for power factor correction
title_short A hybrid moth-flame fuzzy logic controller based integrated cuk converter fed brushless DC motor for power factor correction
title_full A hybrid moth-flame fuzzy logic controller based integrated cuk converter fed brushless DC motor for power factor correction
title_fullStr A hybrid moth-flame fuzzy logic controller based integrated cuk converter fed brushless DC motor for power factor correction
title_full_unstemmed A hybrid moth-flame fuzzy logic controller based integrated cuk converter fed brushless DC motor for power factor correction
title_sort hybrid moth-flame fuzzy logic controller based integrated cuk converter fed brushless dc motor for power factor correction
publisher MDPI AG
publishDate 2023
_version_ 1806426426224672768
score 13.214268