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

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

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Abstract

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).

Item Type:	Article
Uncontrolled Keywords:	fuzzy logic, IM drives, FLCs, performance, computational time (CT)
Subjects:	Q Science > Q Science (General) Q Science > QA Mathematics Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	Faculty of Electrical Engineering > Department of Power Electronics & Drives
Depositing User:	Mohd. Nazir Taib
Date Deposited:	28 Feb 2019 04:19
Last Modified:	17 Aug 2021 18:36
URI:	http://eprints.utem.edu.my/id/eprint/21749
Statistic Details:	View Download Statistic

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