Real-Time Performance Evaluation of a Genetic Algorithm Based Fuzzy Logic Controller for IPM Motor Drives

This work presents a novel speed control scheme using a genetic-based fuzzy logic controller (GFLC) for an interior permanent-magnet synchronous motor (IPMSM) drive. The proposed GFLC is developed to have less computational burden, which makes it suitable for real-time implementation. The parameters...

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محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Nasir Uddin, M. (author)
مؤلفون آخرون: Abido, M. A. (author), Rahman, M. A. (author), unknown (author)
التنسيق: article
منشور في: 2005
الموضوعات:
الوصول للمادة أونلاين:https://eprints.kfupm.edu.sa/id/eprint/566/1/real_time_performance_evaluation_of_a_ge_uddin_isi_000226675900031.pdf
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author Nasir Uddin, M.
author2 Abido, M. A.
Rahman, M. A.
unknown
author2_role author
author
author
author_facet Nasir Uddin, M.
Abido, M. A.
Rahman, M. A.
unknown
author_role author
dc.creator.none.fl_str_mv Nasir Uddin, M.
Abido, M. A.
Rahman, M. A.
unknown
dc.date.none.fl_str_mv 2005-01
2020
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv https://eprints.kfupm.edu.sa/id/eprint/566/1/real_time_performance_evaluation_of_a_ge_uddin_isi_000226675900031.pdf
(2005) Real-Time Performance Evaluation of a Genetic Algorithm Based Fuzzy Logic Controller for IPM Motor Drives. IEEE Transactions on Industry Applications, 41 (1). pp. 246-252.
dc.language.none.fl_str_mv en
dc.relation.none.fl_str_mv https://eprints.kfupm.edu.sa/id/eprint/566/
dc.rights.*.fl_str_mv info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Electrical
dc.title.none.fl_str_mv Real-Time Performance Evaluation of a Genetic Algorithm Based Fuzzy Logic Controller for IPM Motor Drives
dc.type.none.fl_str_mv Article
PeerReviewed
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
description This work presents a novel speed control scheme using a genetic-based fuzzy logic controller (GFLC) for an interior permanent-magnet synchronous motor (IPMSM) drive. The proposed GFLC is developed to have less computational burden, which makes it suitable for real-time implementation. The parameters for the GFLC are tuned by genetic algorithm (GA). The complete drive incorporating the GFLC is successfully implemented in real-time using a digital signal processor board DS 1102 for a laboratory 1-hp interior permanent magnet motor. The efficacy of the proposed GFLC-based IPMSM drive is verified by simulation as well as experimental results at various operating conditions. A performance comparison with a conventional proportional-integral controller is also provided to show the superiority of the proposed controller. The proposed GFLC is found to be robust for high-performance industrial drive applications.
eu_rights_str_mv openAccess
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identifier_str_mv (2005) Real-Time Performance Evaluation of a Genetic Algorithm Based Fuzzy Logic Controller for IPM Motor Drives. IEEE Transactions on Industry Applications, 41 (1). pp. 246-252.
language_invalid_str_mv en
network_acronym_str KFUPM
network_name_str King Fahd University of Petroleum and Minerals
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publishDate 2005
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spelling Real-Time Performance Evaluation of a Genetic Algorithm Based Fuzzy Logic Controller for IPM Motor DrivesNasir Uddin, M.Abido, M. A.Rahman, M. A.unknownElectricalThis work presents a novel speed control scheme using a genetic-based fuzzy logic controller (GFLC) for an interior permanent-magnet synchronous motor (IPMSM) drive. The proposed GFLC is developed to have less computational burden, which makes it suitable for real-time implementation. The parameters for the GFLC are tuned by genetic algorithm (GA). The complete drive incorporating the GFLC is successfully implemented in real-time using a digital signal processor board DS 1102 for a laboratory 1-hp interior permanent magnet motor. The efficacy of the proposed GFLC-based IPMSM drive is verified by simulation as well as experimental results at various operating conditions. A performance comparison with a conventional proportional-integral controller is also provided to show the superiority of the proposed controller. The proposed GFLC is found to be robust for high-performance industrial drive applications.2005-012020ArticlePeerReviewedinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://eprints.kfupm.edu.sa/id/eprint/566/1/real_time_performance_evaluation_of_a_ge_uddin_isi_000226675900031.pdf (2005) Real-Time Performance Evaluation of a Genetic Algorithm Based Fuzzy Logic Controller for IPM Motor Drives. IEEE Transactions on Industry Applications, 41 (1). pp. 246-252. enhttps://eprints.kfupm.edu.sa/id/eprint/566/info:eu-repo/semantics/openAccessoai::5662019-11-01T13:24:26Z
spellingShingle Real-Time Performance Evaluation of a Genetic Algorithm Based Fuzzy Logic Controller for IPM Motor Drives
Nasir Uddin, M.
Electrical
status_str publishedVersion
title Real-Time Performance Evaluation of a Genetic Algorithm Based Fuzzy Logic Controller for IPM Motor Drives
title_full Real-Time Performance Evaluation of a Genetic Algorithm Based Fuzzy Logic Controller for IPM Motor Drives
title_fullStr Real-Time Performance Evaluation of a Genetic Algorithm Based Fuzzy Logic Controller for IPM Motor Drives
title_full_unstemmed Real-Time Performance Evaluation of a Genetic Algorithm Based Fuzzy Logic Controller for IPM Motor Drives
title_short Real-Time Performance Evaluation of a Genetic Algorithm Based Fuzzy Logic Controller for IPM Motor Drives
title_sort Real-Time Performance Evaluation of a Genetic Algorithm Based Fuzzy Logic Controller for IPM Motor Drives
topic Electrical
url https://eprints.kfupm.edu.sa/id/eprint/566/1/real_time_performance_evaluation_of_a_ge_uddin_isi_000226675900031.pdf