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Experimental investigations into the behavior of scaling factors in a fuzzy logic speed control induction motor with model reference adaptive control

This paper presents a self-tuning fuzzy logic speed controller (FLSC) with model reference adaptive control (MRAC) for an induction motor (IM) drive system. The MRAC is examined by output scaling the factor tuner for optimum motor speed performance. A detailed investigation is carried out on the sca...

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Main Authors: Talib, Md Hairul Nizam, Ismail, Muhamad Zamani, Ibrahim, Zulkifilie, Mat Lazi, Jurifa, Mohamad Yusof, Mohd Shahrul Azmi, Ismail, Baharuddin
Format: Article
Language:English
Published: ECTI Association 2022
Online Access:http://eprints.utem.edu.my/id/eprint/26616/2/EXPERIMENTAL%20INVESTIGATIONS%20INTO%20THE%20BEHAVIOR%20OF%20SCALING%20FACTORS%20IN%20A%20FUZZY%20LOGIC%20SPEED%20CONTROL%20INDUCTION%20MOTOR%20WITH%20MODEL%20REFERENCE%20ADAPTIVE%20CONTROL_COMPRESSED.PDF
http://eprints.utem.edu.my/id/eprint/26616/
https://ph02.tci-thaijo.org/index.php/ECTI-EEC/article/view/246896/167404
https://doi.org/10.37936/ecti-eec.2022202.246896
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spelling my.utem.eprints.266162023-04-12T15:27:03Z http://eprints.utem.edu.my/id/eprint/26616/ Experimental investigations into the behavior of scaling factors in a fuzzy logic speed control induction motor with model reference adaptive control Talib, Md Hairul Nizam Ismail, Muhamad Zamani Ibrahim, Zulkifilie Mat Lazi, Jurifa Mohamad Yusof, Mohd Shahrul Azmi Ismail, Baharuddin This paper presents a self-tuning fuzzy logic speed controller (FLSC) with model reference adaptive control (MRAC) for an induction motor (IM) drive system. The MRAC is examined by output scaling the factor tuner for optimum motor speed performance. A detailed investigation is carried out on the scaling factor control of the input change error and main FLSC output increment. This proposed method utilizes seven simplified rules of the 5 × 5 matrix membership functions to minimize the computational burden and memory space limitations. All simulation work is conducted using Simulink and Fuzzy Tools in the MATLAB software and the experimental testing with the aid of a digital signal controller board, dSPACE DS1103. Based on the results, the output scaling factor makes a more significant impact on the performance effect compared to the input error scaling factor. The input change error and output SF also exhibit similar behavior, indicating that a large range of UoD tuners works well in terms of capability load rejection while a small range of UoD tuners performs well in terms of rise time. The analysis includes no-load and load tests to ascertain the overshoot percentage, rise time, and settling time for transient and steady-state conditions. ECTI Association 2022-06 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/26616/2/EXPERIMENTAL%20INVESTIGATIONS%20INTO%20THE%20BEHAVIOR%20OF%20SCALING%20FACTORS%20IN%20A%20FUZZY%20LOGIC%20SPEED%20CONTROL%20INDUCTION%20MOTOR%20WITH%20MODEL%20REFERENCE%20ADAPTIVE%20CONTROL_COMPRESSED.PDF Talib, Md Hairul Nizam and Ismail, Muhamad Zamani and Ibrahim, Zulkifilie and Mat Lazi, Jurifa and Mohamad Yusof, Mohd Shahrul Azmi and Ismail, Baharuddin (2022) Experimental investigations into the behavior of scaling factors in a fuzzy logic speed control induction motor with model reference adaptive control. ECTI Transactions on Electrical Engineering, Electronics, and Communications, 20 (2). pp. 174-185. ISSN 1685-9545 https://ph02.tci-thaijo.org/index.php/ECTI-EEC/article/view/246896/167404 https://doi.org/10.37936/ecti-eec.2022202.246896
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
description This paper presents a self-tuning fuzzy logic speed controller (FLSC) with model reference adaptive control (MRAC) for an induction motor (IM) drive system. The MRAC is examined by output scaling the factor tuner for optimum motor speed performance. A detailed investigation is carried out on the scaling factor control of the input change error and main FLSC output increment. This proposed method utilizes seven simplified rules of the 5 × 5 matrix membership functions to minimize the computational burden and memory space limitations. All simulation work is conducted using Simulink and Fuzzy Tools in the MATLAB software and the experimental testing with the aid of a digital signal controller board, dSPACE DS1103. Based on the results, the output scaling factor makes a more significant impact on the performance effect compared to the input error scaling factor. The input change error and output SF also exhibit similar behavior, indicating that a large range of UoD tuners works well in terms of capability load rejection while a small range of UoD tuners performs well in terms of rise time. The analysis includes no-load and load tests to ascertain the overshoot percentage, rise time, and settling time for transient and steady-state conditions.
format Article
author Talib, Md Hairul Nizam
Ismail, Muhamad Zamani
Ibrahim, Zulkifilie
Mat Lazi, Jurifa
Mohamad Yusof, Mohd Shahrul Azmi
Ismail, Baharuddin
spellingShingle Talib, Md Hairul Nizam
Ismail, Muhamad Zamani
Ibrahim, Zulkifilie
Mat Lazi, Jurifa
Mohamad Yusof, Mohd Shahrul Azmi
Ismail, Baharuddin
Experimental investigations into the behavior of scaling factors in a fuzzy logic speed control induction motor with model reference adaptive control
author_facet Talib, Md Hairul Nizam
Ismail, Muhamad Zamani
Ibrahim, Zulkifilie
Mat Lazi, Jurifa
Mohamad Yusof, Mohd Shahrul Azmi
Ismail, Baharuddin
author_sort Talib, Md Hairul Nizam
title Experimental investigations into the behavior of scaling factors in a fuzzy logic speed control induction motor with model reference adaptive control
title_short Experimental investigations into the behavior of scaling factors in a fuzzy logic speed control induction motor with model reference adaptive control
title_full Experimental investigations into the behavior of scaling factors in a fuzzy logic speed control induction motor with model reference adaptive control
title_fullStr Experimental investigations into the behavior of scaling factors in a fuzzy logic speed control induction motor with model reference adaptive control
title_full_unstemmed Experimental investigations into the behavior of scaling factors in a fuzzy logic speed control induction motor with model reference adaptive control
title_sort experimental investigations into the behavior of scaling factors in a fuzzy logic speed control induction motor with model reference adaptive control
publisher ECTI Association
publishDate 2022
url http://eprints.utem.edu.my/id/eprint/26616/2/EXPERIMENTAL%20INVESTIGATIONS%20INTO%20THE%20BEHAVIOR%20OF%20SCALING%20FACTORS%20IN%20A%20FUZZY%20LOGIC%20SPEED%20CONTROL%20INDUCTION%20MOTOR%20WITH%20MODEL%20REFERENCE%20ADAPTIVE%20CONTROL_COMPRESSED.PDF
http://eprints.utem.edu.my/id/eprint/26616/
https://ph02.tci-thaijo.org/index.php/ECTI-EEC/article/view/246896/167404
https://doi.org/10.37936/ecti-eec.2022202.246896
_version_ 1762965513297723392
score 13.211869

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