Investigation of the Computational Burden Effects of Self-Tuning Fuzzy Logic Speed Controller of Induction Motor Drives With Different Rules Sizes

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 parame...

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Autores principales: Nabil Farah, Md. Hairul Nizam Talib, Zulkifilie Ibrahim, Qazwan Abdullah, Omer Aydogdu, Maaspaliza Azri, Jurifa Binti Mat Lazi, Zainuddin Mat Isa
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Lenguaje:EN
Publicado: IEEE 2021
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Acceso en línea:https://doaj.org/article/170361a86ceb475bb9fa9c378fcc33b4
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spelling oai:doaj.org-article:170361a86ceb475bb9fa9c378fcc33b42021-11-26T00:01:48ZInvestigation of the Computational Burden Effects of Self-Tuning Fuzzy Logic Speed Controller of Induction Motor Drives With Different Rules Sizes2169-353610.1109/ACCESS.2021.3128351https://doaj.org/article/170361a86ceb475bb9fa9c378fcc33b42021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9615218/https://doaj.org/toc/2169-3536Fuzzy 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.Nabil FarahMd. Hairul Nizam TalibZulkifilie IbrahimQazwan AbdullahOmer AydogduMaaspaliza AzriJurifa Binti Mat LaziZainuddin Mat IsaIEEEarticleFuzzyFLCIM drivesself-tuningcomputational complexitycomputational effortsElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 155443-155456 (2021)
institution DOAJ
collection DOAJ
language EN
topic Fuzzy
FLC
IM drives
self-tuning
computational complexity
computational efforts
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
spellingShingle Fuzzy
FLC
IM drives
self-tuning
computational complexity
computational efforts
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
Nabil Farah
Md. Hairul Nizam Talib
Zulkifilie Ibrahim
Qazwan Abdullah
Omer Aydogdu
Maaspaliza Azri
Jurifa Binti Mat Lazi
Zainuddin Mat Isa
Investigation of the Computational Burden Effects of Self-Tuning Fuzzy Logic Speed Controller of Induction Motor Drives With Different Rules Sizes
description 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.
format article
author Nabil Farah
Md. Hairul Nizam Talib
Zulkifilie Ibrahim
Qazwan Abdullah
Omer Aydogdu
Maaspaliza Azri
Jurifa Binti Mat Lazi
Zainuddin Mat Isa
author_facet Nabil Farah
Md. Hairul Nizam Talib
Zulkifilie Ibrahim
Qazwan Abdullah
Omer Aydogdu
Maaspaliza Azri
Jurifa Binti Mat Lazi
Zainuddin Mat Isa
author_sort Nabil Farah
title Investigation of the Computational Burden Effects of Self-Tuning Fuzzy Logic Speed Controller of Induction Motor Drives With Different Rules Sizes
title_short Investigation of the Computational Burden Effects of Self-Tuning Fuzzy Logic Speed Controller of Induction Motor Drives With Different Rules Sizes
title_full Investigation of the Computational Burden Effects of Self-Tuning Fuzzy Logic Speed Controller of Induction Motor Drives With Different Rules Sizes
title_fullStr Investigation of the Computational Burden Effects of Self-Tuning Fuzzy Logic Speed Controller of Induction Motor Drives With Different Rules Sizes
title_full_unstemmed Investigation of the Computational Burden Effects of Self-Tuning Fuzzy Logic Speed Controller of Induction Motor Drives With Different Rules Sizes
title_sort investigation of the computational burden effects of self-tuning fuzzy logic speed controller of induction motor drives with different rules sizes
publisher IEEE
publishDate 2021
url https://doaj.org/article/170361a86ceb475bb9fa9c378fcc33b4
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