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Comparison of DC motor position control simulation using MABSA-FLC and PSO-FLC

This paper explained about the standard fuzzy logic controller that will be compared in terms of performance for simulation with a modified adaptive bats sonar algorithm (MABSA) and also a particle swarm optimization (PSO) algorithm. A MATLAB toolbox is used to design the fuzzy logic controller (FLC...

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Main Authors: Norainaa, Elias, Nafrizuan, Mat Yahya
Format: Conference or Workshop Item
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2019
Subjects:
T Technology (General)
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/25145/1/Norainaa%20Paper%201.pdf
http://umpir.ump.edu.my/id/eprint/25145/
http://doi.org/10.1109/CSPA.2019.8696032
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spelling my.ump.umpir.251452019-10-24T07:36:25Z http://umpir.ump.edu.my/id/eprint/25145/ Comparison of DC motor position control simulation using MABSA-FLC and PSO-FLC Norainaa, Elias Nafrizuan, Mat Yahya T Technology (General) TK Electrical engineering. Electronics Nuclear engineering This paper explained about the standard fuzzy logic controller that will be compared in terms of performance for simulation with a modified adaptive bats sonar algorithm (MABSA) and also a particle swarm optimization (PSO) algorithm. A MATLAB toolbox is used to design the fuzzy logic controller (FLC). The DC motor was modeled, converted to a subsystem in Simulink and then the MATLAB toolbox is used to design the FLC. The methodology composed of the designing and also the simulation of DC motor with a fuzzy logic controller and optimization of the difference algorithm will be used as a benchmark for the performance of the fuzzy system. The results obtained from the Simulink scope are compared with the different algorithm used for the dynamic response of the closed-loop system and also the system with and without a controller will be compared. Parameters such as the rise and settling time in seconds and maximum overshoot in percent will be part of the simulation result. The overall performance shows that a system with MABSA-FLC performs well compared to the system with FLC and PSO-FLC. Institute of Electrical and Electronics Engineers Inc. 2019-03-03 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/25145/1/Norainaa%20Paper%201.pdf Norainaa, Elias and Nafrizuan, Mat Yahya (2019) Comparison of DC motor position control simulation using MABSA-FLC and PSO-FLC. In: 2019 IEEE 15th International Colloquium on Signal Processing and its Applications, CSPA 2019, 8-9 March 2019 , Penang, Malaysia. pp. 39-42.. ISBN 978-153867563-2 http://doi.org/10.1109/CSPA.2019.8696032
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic T Technology (General)
TK Electrical engineering. Electronics Nuclear engineering
spellingShingle T Technology (General)
TK Electrical engineering. Electronics Nuclear engineering
Norainaa, Elias
Nafrizuan, Mat Yahya
Comparison of DC motor position control simulation using MABSA-FLC and PSO-FLC
description This paper explained about the standard fuzzy logic controller that will be compared in terms of performance for simulation with a modified adaptive bats sonar algorithm (MABSA) and also a particle swarm optimization (PSO) algorithm. A MATLAB toolbox is used to design the fuzzy logic controller (FLC). The DC motor was modeled, converted to a subsystem in Simulink and then the MATLAB toolbox is used to design the FLC. The methodology composed of the designing and also the simulation of DC motor with a fuzzy logic controller and optimization of the difference algorithm will be used as a benchmark for the performance of the fuzzy system. The results obtained from the Simulink scope are compared with the different algorithm used for the dynamic response of the closed-loop system and also the system with and without a controller will be compared. Parameters such as the rise and settling time in seconds and maximum overshoot in percent will be part of the simulation result. The overall performance shows that a system with MABSA-FLC performs well compared to the system with FLC and PSO-FLC.
format Conference or Workshop Item
author Norainaa, Elias
Nafrizuan, Mat Yahya
author_facet Norainaa, Elias
Nafrizuan, Mat Yahya
author_sort Norainaa, Elias
title Comparison of DC motor position control simulation using MABSA-FLC and PSO-FLC
title_short Comparison of DC motor position control simulation using MABSA-FLC and PSO-FLC
title_full Comparison of DC motor position control simulation using MABSA-FLC and PSO-FLC
title_fullStr Comparison of DC motor position control simulation using MABSA-FLC and PSO-FLC
title_full_unstemmed Comparison of DC motor position control simulation using MABSA-FLC and PSO-FLC
title_sort comparison of dc motor position control simulation using mabsa-flc and pso-flc
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2019
url http://umpir.ump.edu.my/id/eprint/25145/1/Norainaa%20Paper%201.pdf
http://umpir.ump.edu.my/id/eprint/25145/
http://doi.org/10.1109/CSPA.2019.8696032
_version_ 1648741187619651584
score 13.211869

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