Experimental Investigation Of Different Rules Size Of Fuzzy Logic Controller For Vector Control Of Induction Motor Drives

There is lack of performance comparison investigation between 49,25 and 9 rules size speed controller of Induction Motor (IM) drives of the rules size toward the motor performance. Furthermore, no study was conducted based on the computation burden time affects by the rules experimentally fuzzy rule...

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Main Authors: Talib, Md Hairul Nizam, Yahya Farah, Nabil Salem, Ibrahim, Zulkifilie, Rasin, Zulhani, Rizman, Z. I.
Format: Article
Language:English
Published: J Fundam Appl Sci. 2018
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Online Access:http://eprints.utem.edu.my/id/eprint/21749/2/4387-9048-1-PB.pdf
http://eprints.utem.edu.my/id/eprint/21749/
https://www.researchgate.net/publication/324150450_Experimental_Investigation_Of_Different_Rules_Size_Of_Fuzzy_Logic_Controller_For_Vector_Control_Of_Induction_Motor_Drives
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spelling my.utem.eprints.217492021-08-17T18:36:10Z http://eprints.utem.edu.my/id/eprint/21749/ Experimental Investigation Of Different Rules Size Of Fuzzy Logic Controller For Vector Control Of Induction Motor Drives Talib, Md Hairul Nizam Yahya Farah, Nabil Salem Ibrahim, Zulkifilie Rasin, Zulhani Rizman, Z. I. Q Science (General) QA Mathematics QA75 Electronic computers. Computer science There is lack of performance comparison investigation between 49,25 and 9 rules size speed controller of Induction Motor (IM) drives of the rules size toward the motor performance. Furthermore, no study was conducted based on the computation burden time affects by the rules experimentally fuzzy rules sizes in terms of performance based on simulations and experimental analysis as well as the execution time.MATLAB/SIMULINK and dSPACE DSl104 controller platform are used for the analysis. Variation in performance with the shape and number of membership functions.Based on the experimental results,it can be concluded that,higher number of rules increase the Computational Time (CT), hence bigger sampling time is required which will There is lack of performance comparison investigation between 49,25 and 9 rules size speed controller of Induction Motor (IM) drives.Thus,it is difficult to understand the effect of the rules size toward the motor performance.Furthermore, o study was conducted based on the computation burden time affects by the rules experimentally.This paper compares the fuzzy rules sizes in terms of performance based on simulations and experimental analysis as well as the execution time. MATLAB/SIMULINK and dSPACE DSl104 controller platform are used for the analysis.Variation in performance with different rule size may occur due to the shape and number of membership functions.Based on the experimental results,it can be concluded that,higher number of rules increase the Computational Time (CT),hence bigger sampling time is required which will affect the performance.There is lack of performance comparison investigation between 49,25 and 9 rules sizefor the. Thus, it is difficult to understand the effect of the rules size toward the motor performance.Furthermore,no study was conducted based.This paper compares the fuzzy rules sizes in terms of performance based on simulations and experimental analysis as well as the execution time. MATLAB/SIMULINK and dSPACE DSl104 controller platform different rule size may occur due to the shape and number of membership functions.Based on the experimental results, it can be concluded that, higher number of rules increase the Computational Time (CT),hence bigger computational time (CT). J Fundam Appl Sci. 2018-03 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/21749/2/4387-9048-1-PB.pdf Talib, Md Hairul Nizam and Yahya Farah, Nabil Salem and Ibrahim, Zulkifilie and Rasin, Zulhani and Rizman, Z. I. (2018) Experimental Investigation Of Different Rules Size Of Fuzzy Logic Controller For Vector Control Of Induction Motor Drives. Journal Of Fundamental And Applied Sciences, 10. pp. 1696-1717. ISSN 1112-9867 https://www.researchgate.net/publication/324150450_Experimental_Investigation_Of_Different_Rules_Size_Of_Fuzzy_Logic_Controller_For_Vector_Control_Of_Induction_Motor_Drives doi: http://dx.doi.org/10.4314/jfas.v10i6s.136
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
topic Q Science (General)
QA Mathematics
QA75 Electronic computers. Computer science
spellingShingle Q Science (General)
QA Mathematics
QA75 Electronic computers. Computer science
Talib, Md Hairul Nizam
Yahya Farah, Nabil Salem
Ibrahim, Zulkifilie
Rasin, Zulhani
Rizman, Z. I.
Experimental Investigation Of Different Rules Size Of Fuzzy Logic Controller For Vector Control Of Induction Motor Drives
description There is lack of performance comparison investigation between 49,25 and 9 rules size speed controller of Induction Motor (IM) drives of the rules size toward the motor performance. Furthermore, no study was conducted based on the computation burden time affects by the rules experimentally fuzzy rules sizes in terms of performance based on simulations and experimental analysis as well as the execution time.MATLAB/SIMULINK and dSPACE DSl104 controller platform are used for the analysis. Variation in performance with the shape and number of membership functions.Based on the experimental results,it can be concluded that,higher number of rules increase the Computational Time (CT), hence bigger sampling time is required which will There is lack of performance comparison investigation between 49,25 and 9 rules size speed controller of Induction Motor (IM) drives.Thus,it is difficult to understand the effect of the rules size toward the motor performance.Furthermore, o study was conducted based on the computation burden time affects by the rules experimentally.This paper compares the fuzzy rules sizes in terms of performance based on simulations and experimental analysis as well as the execution time. MATLAB/SIMULINK and dSPACE DSl104 controller platform are used for the analysis.Variation in performance with different rule size may occur due to the shape and number of membership functions.Based on the experimental results,it can be concluded that,higher number of rules increase the Computational Time (CT),hence bigger sampling time is required which will affect the performance.There is lack of performance comparison investigation between 49,25 and 9 rules sizefor the. Thus, it is difficult to understand the effect of the rules size toward the motor performance.Furthermore,no study was conducted based.This paper compares the fuzzy rules sizes in terms of performance based on simulations and experimental analysis as well as the execution time. MATLAB/SIMULINK and dSPACE DSl104 controller platform different rule size may occur due to the shape and number of membership functions.Based on the experimental results, it can be concluded that, higher number of rules increase the Computational Time (CT),hence bigger computational time (CT).
format Article
author Talib, Md Hairul Nizam
Yahya Farah, Nabil Salem
Ibrahim, Zulkifilie
Rasin, Zulhani
Rizman, Z. I.
author_facet Talib, Md Hairul Nizam
Yahya Farah, Nabil Salem
Ibrahim, Zulkifilie
Rasin, Zulhani
Rizman, Z. I.
author_sort Talib, Md Hairul Nizam
title Experimental Investigation Of Different Rules Size Of Fuzzy Logic Controller For Vector Control Of Induction Motor Drives
title_short Experimental Investigation Of Different Rules Size Of Fuzzy Logic Controller For Vector Control Of Induction Motor Drives
title_full Experimental Investigation Of Different Rules Size Of Fuzzy Logic Controller For Vector Control Of Induction Motor Drives
title_fullStr Experimental Investigation Of Different Rules Size Of Fuzzy Logic Controller For Vector Control Of Induction Motor Drives
title_full_unstemmed Experimental Investigation Of Different Rules Size Of Fuzzy Logic Controller For Vector Control Of Induction Motor Drives
title_sort experimental investigation of different rules size of fuzzy logic controller for vector control of induction motor drives
publisher J Fundam Appl Sci.
publishDate 2018
url http://eprints.utem.edu.my/id/eprint/21749/2/4387-9048-1-PB.pdf
http://eprints.utem.edu.my/id/eprint/21749/
https://www.researchgate.net/publication/324150450_Experimental_Investigation_Of_Different_Rules_Size_Of_Fuzzy_Logic_Controller_For_Vector_Control_Of_Induction_Motor_Drives
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score 13.211869