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Simulation of speed control brushless DC motor using gaussian fuzzy logic controller

This paper presents a control scheme of a Fuzzy Logic for the brushless direct current (BLDC) motor drives. The BLDC motor has some advantages compare to others type of motors. However, the nonlinearity of this motor drive characteristics cause it is difficult to handle using conventional prop...

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Main Author: Abd Karim, Nurliana
Format: Thesis
Language:English
English
English
Published: 2014
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
TK2000-2891 Dynamoelectric machinery and auxiliaries. Including generators, motors, transformers
Online Access:http://eprints.uthm.edu.my/1623/1/24p%20NURLIANA%20ABD%20KARIM.pdf
http://eprints.uthm.edu.my/1623/2/NURLIANA%20ABD%20KARIM%20COPYRIGHT%20DECLARATION.pdf
http://eprints.uthm.edu.my/1623/3/NURLIANA%20ABD%20KARIM%20WATERMARK.pdf
http://eprints.uthm.edu.my/1623/
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spelling my.uthm.eprints.16232021-10-04T01:04:33Z http://eprints.uthm.edu.my/1623/ Simulation of speed control brushless DC motor using gaussian fuzzy logic controller Abd Karim, Nurliana TK Electrical engineering. Electronics Nuclear engineering TK2000-2891 Dynamoelectric machinery and auxiliaries. Including generators, motors, transformers This paper presents a control scheme of a Fuzzy Logic for the brushless direct current (BLDC) motor drives. The BLDC motor has some advantages compare to others type of motors. However, the nonlinearity of this motor drive characteristics cause it is difficult to handle using conventional proportional-integral-differential (PID) controller. In order to overcome this main problem, Fuzzy Logic controller with a Gaussian membership function is developed. The mathematical model of BLDC motor is derived. The controller is designed to tracks variations of speed references and stabilizes the output speed during load variations. The effectiveness of the proposed method is verified by develop simulation model in Matlab Simulink software. The simulation results show that the proposed Fuzzy Logic controller (FLC) produce significant improvement control performance compare to the PID controller for both condition controlling speed reference variations and load disturbance variations. 2014-01 Thesis NonPeerReviewed text en http://eprints.uthm.edu.my/1623/1/24p%20NURLIANA%20ABD%20KARIM.pdf text en http://eprints.uthm.edu.my/1623/2/NURLIANA%20ABD%20KARIM%20COPYRIGHT%20DECLARATION.pdf text en http://eprints.uthm.edu.my/1623/3/NURLIANA%20ABD%20KARIM%20WATERMARK.pdf Abd Karim, Nurliana (2014) Simulation of speed control brushless DC motor using gaussian fuzzy logic controller. Masters thesis, Universiti Tun Hussein Onn Malaysia.
institution Universiti Tun Hussein Onn Malaysia
building UTHM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tun Hussein Onn Malaysia
content_source UTHM Institutional Repository
url_provider http://eprints.uthm.edu.my/
language English
English
English
topic TK Electrical engineering. Electronics Nuclear engineering
TK2000-2891 Dynamoelectric machinery and auxiliaries. Including generators, motors, transformers
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
TK2000-2891 Dynamoelectric machinery and auxiliaries. Including generators, motors, transformers
Abd Karim, Nurliana
Simulation of speed control brushless DC motor using gaussian fuzzy logic controller
description This paper presents a control scheme of a Fuzzy Logic for the brushless direct current (BLDC) motor drives. The BLDC motor has some advantages compare to others type of motors. However, the nonlinearity of this motor drive characteristics cause it is difficult to handle using conventional proportional-integral-differential (PID) controller. In order to overcome this main problem, Fuzzy Logic controller with a Gaussian membership function is developed. The mathematical model of BLDC motor is derived. The controller is designed to tracks variations of speed references and stabilizes the output speed during load variations. The effectiveness of the proposed method is verified by develop simulation model in Matlab Simulink software. The simulation results show that the proposed Fuzzy Logic controller (FLC) produce significant improvement control performance compare to the PID controller for both condition controlling speed reference variations and load disturbance variations.
format Thesis
author Abd Karim, Nurliana
author_facet Abd Karim, Nurliana
author_sort Abd Karim, Nurliana
title Simulation of speed control brushless DC motor using gaussian fuzzy logic controller
title_short Simulation of speed control brushless DC motor using gaussian fuzzy logic controller
title_full Simulation of speed control brushless DC motor using gaussian fuzzy logic controller
title_fullStr Simulation of speed control brushless DC motor using gaussian fuzzy logic controller
title_full_unstemmed Simulation of speed control brushless DC motor using gaussian fuzzy logic controller
title_sort simulation of speed control brushless dc motor using gaussian fuzzy logic controller
publishDate 2014
url http://eprints.uthm.edu.my/1623/1/24p%20NURLIANA%20ABD%20KARIM.pdf
http://eprints.uthm.edu.my/1623/2/NURLIANA%20ABD%20KARIM%20COPYRIGHT%20DECLARATION.pdf
http://eprints.uthm.edu.my/1623/3/NURLIANA%20ABD%20KARIM%20WATERMARK.pdf
http://eprints.uthm.edu.my/1623/
_version_ 1738580883735052288
score 13.211869

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