Simulation of speed tracking for brushless DC motor using fuzzy logic controller

Brushless DC motors are normally used in an automotive application, robotics, medical, industrial automation equipment and machine tools due to its advantages. The advantages are long life operation, easy to construct, noiseless operation and has a better speed performance. This project presents...

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Main Author:	Alir, Afifah
Format:	Thesis
Language:	English English English
Published:	2013
Subjects:	TJ212-225 Control engineering systems Automatic machinery (General)
Online Access:	http://eprints.uthm.edu.my/6621/1/24p%20AFIFAH%20ALIR.pdf http://eprints.uthm.edu.my/6621/2/AFIFAH%20ALIR%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/6621/3/AFIFAH%20ALIR%20WATERMARK.pdf
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id	my-uthm-ep.6621
record_format	uketd_dc
spelling	my-uthm-ep.66212022-03-10T03:35:08Z Simulation of speed tracking for brushless DC motor using fuzzy logic controller 2013-07 Alir, Afifah TJ212-225 Control engineering systems. Automatic machinery (General) TK2000-2891 Dynamoelectric machinery and auxiliaries. Including generators, motors, transformers Brushless DC motors are normally used in an automotive application, robotics, medical, industrial automation equipment and machine tools due to its advantages. The advantages are long life operation, easy to construct, noiseless operation and has a better speed performance. This project presents a simulation model for BLDC motor using MATLAB/Simulink. Usually, the speed control is achieved by using PI controller. Then, the dynamic response of the BLDC motor such as speed, torque as well as current and voltage are observed and been analyzed using the MATLAB model. It is quite hard and difficult to tune the conventional PI controller parameters. Therefore, a suitable speed controller is been developed by using MATLAB Fuzzy Logic tool box. The objectives of this project are to minimize the maximum overshoot (%OS), settling time (Ts) and also peak time (Tp). Besides, the purpose is to improve the speed performance of the motor drive system. In order to verify the effectiveness of the controller, both control algorithms (Fuzzy logic control and PID) are compared. The simulation results show that the FLC controller has better performance which has reduced and minimized the percentage of maximum overshoot, settling time, peak time and rise time compared with the used of conventional PI controller. 2013-07 Thesis http://eprints.uthm.edu.my/6621/ http://eprints.uthm.edu.my/6621/1/24p%20AFIFAH%20ALIR.pdf text en public http://eprints.uthm.edu.my/6621/2/AFIFAH%20ALIR%20COPYRIGHT%20DECLARATION.pdf text en staffonly http://eprints.uthm.edu.my/6621/3/AFIFAH%20ALIR%20WATERMARK.pdf text en validuser mphil masters Universiti Tun Hussein Malaysia Fakulti Kejuruteraan Elektrik dan Elektronik
institution	Universiti Tun Hussein Onn Malaysia
collection	UTHM Institutional Repository
language	English English English
topic	TJ212-225 Control engineering systems Automatic machinery (General) TJ212-225 Control engineering systems Automatic machinery (General)
spellingShingle	TJ212-225 Control engineering systems Automatic machinery (General) TJ212-225 Control engineering systems Automatic machinery (General) Alir, Afifah Simulation of speed tracking for brushless DC motor using fuzzy logic controller
description	Brushless DC motors are normally used in an automotive application, robotics, medical, industrial automation equipment and machine tools due to its advantages. The advantages are long life operation, easy to construct, noiseless operation and has a better speed performance. This project presents a simulation model for BLDC motor using MATLAB/Simulink. Usually, the speed control is achieved by using PI controller. Then, the dynamic response of the BLDC motor such as speed, torque as well as current and voltage are observed and been analyzed using the MATLAB model. It is quite hard and difficult to tune the conventional PI controller parameters. Therefore, a suitable speed controller is been developed by using MATLAB Fuzzy Logic tool box. The objectives of this project are to minimize the maximum overshoot (%OS), settling time (Ts) and also peak time (Tp). Besides, the purpose is to improve the speed performance of the motor drive system. In order to verify the effectiveness of the controller, both control algorithms (Fuzzy logic control and PID) are compared. The simulation results show that the FLC controller has better performance which has reduced and minimized the percentage of maximum overshoot, settling time, peak time and rise time compared with the used of conventional PI controller.
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	Alir, Afifah
author_facet	Alir, Afifah
author_sort	Alir, Afifah
title	Simulation of speed tracking for brushless DC motor using fuzzy logic controller
title_short	Simulation of speed tracking for brushless DC motor using fuzzy logic controller
title_full	Simulation of speed tracking for brushless DC motor using fuzzy logic controller
title_fullStr	Simulation of speed tracking for brushless DC motor using fuzzy logic controller
title_full_unstemmed	Simulation of speed tracking for brushless DC motor using fuzzy logic controller
title_sort	simulation of speed tracking for brushless dc motor using fuzzy logic controller
granting_institution	Universiti Tun Hussein Malaysia
granting_department	Fakulti Kejuruteraan Elektrik dan Elektronik
publishDate	2013
url	http://eprints.uthm.edu.my/6621/1/24p%20AFIFAH%20ALIR.pdf http://eprints.uthm.edu.my/6621/2/AFIFAH%20ALIR%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/6621/3/AFIFAH%20ALIR%20WATERMARK.pdf
_version_	1747831075505176576

Simulation of speed tracking for brushless DC motor using fuzzy logic controller

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