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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2021
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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) |
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Fuzzy FLC IM drives self-tuning computational complexity computational efforts Electrical engineering. Electronics. Nuclear engineering TK1-9971 |
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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 |
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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 |
work_keys_str_mv |
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