Fuzzy Membership Functions Tuning For Speed Controller Of Induction Motor Drive: Performance Improvement.
Fuzzy logic controller (FLC) has gained high interest in the field of speed control of machine drives in both academic and industrial communities. This is due to the features of FLC of handling non-linearity and variations. FLC system consists of three main elements: scaling factors (SFs), membershi...
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Institute Of Advanced Engineering And Science (IAES)
2021
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Online Access: | http://eprints.utem.edu.my/id/eprint/25826/2/25666-49489-1-PB.PDF http://eprints.utem.edu.my/id/eprint/25826/ http://ijeecs.iaescore.com/index.php/IJEECS/article/view/25666 http://doi.org/10.11591/ijeecs.v23.i3.pp1258-1270 |
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my.utem.eprints.258262022-05-05T12:53:46Z http://eprints.utem.edu.my/id/eprint/25826/ Fuzzy Membership Functions Tuning For Speed Controller Of Induction Motor Drive: Performance Improvement. Yahya Farah, Nabil Salem Talib, Md Hairul Nizam Mat Lazi, Jurifa Ibrahim, Zulkifilie Abdullah, Qazwan Aydoğdu, Ömer Isa, Zm Fuzzy logic controller (FLC) has gained high interest in the field of speed control of machine drives in both academic and industrial communities. This is due to the features of FLC of handling non-linearity and variations. FLC system consists of three main elements: scaling factors (SFs), membership functions (MFs), and rule-base. Fuzzy MFs can be designed with different types and sizes. For induction motor (IM) speed control, (3x3), (5x5) and (7x7) MFs are the most used MFs sizes, and normally designed based on symmetrical distribution. However, changing the width and peak position of MFs design enhance the performance. In this paper, tuning of MFs of FLC speed control of IM drives is considered. Considering (3x3), (5x5) and (7x7) MFs sizes, the widths and peak positions of these MFs are asymmetrically distributed to improve the performance of IM drive. Based on these MFs sizes, the widths and peak positions are moved toward the origin (zero), negative and positive side that produces a controller less sensitive to the small error variations. Based on simulation and performance evaluations, improvement of 5% in settling time (Ts), 0.5% in rise time and 20% of steady-state improvement achieved with the tuned MFs compared to original MFs. Institute Of Advanced Engineering And Science (IAES) 2021-09 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/25826/2/25666-49489-1-PB.PDF Yahya Farah, Nabil Salem and Talib, Md Hairul Nizam and Mat Lazi, Jurifa and Ibrahim, Zulkifilie and Abdullah, Qazwan and Aydoğdu, Ömer and Isa, Zm (2021) Fuzzy Membership Functions Tuning For Speed Controller Of Induction Motor Drive: Performance Improvement. Indonesian Journal Of Electrical Engineering And Computer Science, 23 (3). 1258 - 1270. ISSN 2502-4752 http://ijeecs.iaescore.com/index.php/IJEECS/article/view/25666 http://doi.org/10.11591/ijeecs.v23.i3.pp1258-1270 |
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Fuzzy logic controller (FLC) has gained high interest in the field of speed control of machine drives in both academic and industrial communities. This is due to the features of FLC of handling non-linearity and variations. FLC system consists of three main elements: scaling factors (SFs), membership functions (MFs), and rule-base. Fuzzy MFs can be designed with different types and sizes. For induction motor (IM) speed control, (3x3), (5x5) and (7x7) MFs are the most used MFs sizes, and normally designed based on symmetrical distribution. However, changing the width and peak position of MFs design enhance the performance. In this paper, tuning of MFs of FLC speed control of IM drives is considered. Considering (3x3), (5x5) and (7x7) MFs sizes, the widths and peak positions of these MFs are asymmetrically distributed to improve the performance of IM drive. Based on these MFs sizes, the widths and peak positions are moved toward the origin (zero), negative and positive side that produces a controller less sensitive to the small error variations. Based on simulation and performance evaluations, improvement of 5% in settling time (Ts), 0.5% in rise time and 20% of steady-state improvement achieved with the tuned MFs compared to original MFs. |
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Yahya Farah, Nabil Salem Talib, Md Hairul Nizam Mat Lazi, Jurifa Ibrahim, Zulkifilie Abdullah, Qazwan Aydoğdu, Ömer Isa, Zm |
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Yahya Farah, Nabil Salem Talib, Md Hairul Nizam Mat Lazi, Jurifa Ibrahim, Zulkifilie Abdullah, Qazwan Aydoğdu, Ömer Isa, Zm Fuzzy Membership Functions Tuning For Speed Controller Of Induction Motor Drive: Performance Improvement. |
author_facet |
Yahya Farah, Nabil Salem Talib, Md Hairul Nizam Mat Lazi, Jurifa Ibrahim, Zulkifilie Abdullah, Qazwan Aydoğdu, Ömer Isa, Zm |
author_sort |
Yahya Farah, Nabil Salem |
title |
Fuzzy Membership Functions Tuning For Speed Controller Of Induction Motor Drive: Performance Improvement. |
title_short |
Fuzzy Membership Functions Tuning For Speed Controller Of Induction Motor Drive: Performance Improvement. |
title_full |
Fuzzy Membership Functions Tuning For Speed Controller Of Induction Motor Drive: Performance Improvement. |
title_fullStr |
Fuzzy Membership Functions Tuning For Speed Controller Of Induction Motor Drive: Performance Improvement. |
title_full_unstemmed |
Fuzzy Membership Functions Tuning For Speed Controller Of Induction Motor Drive: Performance Improvement. |
title_sort |
fuzzy membership functions tuning for speed controller of induction motor drive: performance improvement. |
publisher |
Institute Of Advanced Engineering And Science (IAES) |
publishDate |
2021 |
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http://eprints.utem.edu.my/id/eprint/25826/2/25666-49489-1-PB.PDF http://eprints.utem.edu.my/id/eprint/25826/ http://ijeecs.iaescore.com/index.php/IJEECS/article/view/25666 http://doi.org/10.11591/ijeecs.v23.i3.pp1258-1270 |
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