Development of position tracking of BLDC motor using adaptive fuzzy logic controller

The brushless DC (BLDC) motor has many advantages including simple to construct, high torque capability, small inertia, low noise and long life operation. Unfortunately, it is a non-linear system whose internal parameter values will change slightly with different input commands and environment...

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Main Author: Sabudin, Elia Nadira
Format: Thesis
Language:English
English
English
Published: 2012
Subjects:
Online Access:http://eprints.uthm.edu.my/2262/
http://eprints.uthm.edu.my/2262/1/24p%20ELIA%20NADIRA%20SABUDIN.pdf
http://eprints.uthm.edu.my/2262/2/ELIA%20NADIRA%20SABUDIN%20COPYRIGHT%20DECLARATION.pdf
http://eprints.uthm.edu.my/2262/3/ELIA%20NADIRA%20SABUDIN%20WATERMARK.pdf
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author Sabudin, Elia Nadira
author_facet Sabudin, Elia Nadira
author_sort Sabudin, Elia Nadira
building UTHM Institutional Repository
collection Online Access
description The brushless DC (BLDC) motor has many advantages including simple to construct, high torque capability, small inertia, low noise and long life operation. Unfortunately, it is a non-linear system whose internal parameter values will change slightly with different input commands and environments. In this proposed controller, Takagi-Sugeno-Kang method is developed. In this project, a FLC for position tracking and BLDC motor are modeled and simulated in MATLAB/SIMULINK. In order to verify the performance of the proposed controller, various position tracking reference are tested. The simulation results show that the proposed FLC has better performance compare the conventional PID controller.
first_indexed 2025-11-15T19:58:24Z
format Thesis
id uthm-2262
institution Universiti Tun Hussein Onn Malaysia
institution_category Local University
language English
English
English
last_indexed 2025-11-15T19:58:24Z
publishDate 2012
recordtype eprints
repository_type Digital Repository
spelling uthm-22622021-10-31T04:51:49Z http://eprints.uthm.edu.my/2262/ Development of position tracking of BLDC motor using adaptive fuzzy logic controller Sabudin, Elia Nadira TK Electrical engineering. Electronics Nuclear engineering TK2000-2891 Dynamoelectric machinery and auxiliaries. Including generators, motors, transformers The brushless DC (BLDC) motor has many advantages including simple to construct, high torque capability, small inertia, low noise and long life operation. Unfortunately, it is a non-linear system whose internal parameter values will change slightly with different input commands and environments. In this proposed controller, Takagi-Sugeno-Kang method is developed. In this project, a FLC for position tracking and BLDC motor are modeled and simulated in MATLAB/SIMULINK. In order to verify the performance of the proposed controller, various position tracking reference are tested. The simulation results show that the proposed FLC has better performance compare the conventional PID controller. 2012-07 Thesis NonPeerReviewed text en http://eprints.uthm.edu.my/2262/1/24p%20ELIA%20NADIRA%20SABUDIN.pdf text en http://eprints.uthm.edu.my/2262/2/ELIA%20NADIRA%20SABUDIN%20COPYRIGHT%20DECLARATION.pdf text en http://eprints.uthm.edu.my/2262/3/ELIA%20NADIRA%20SABUDIN%20WATERMARK.pdf Sabudin, Elia Nadira (2012) Development of position tracking of BLDC motor using adaptive fuzzy logic controller. Masters thesis, Universiti Tun Hussein Onn Malaysia.
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
TK2000-2891 Dynamoelectric machinery and auxiliaries. Including generators, motors, transformers
Sabudin, Elia Nadira
Development of position tracking of BLDC motor using adaptive fuzzy logic controller
title Development of position tracking of BLDC motor using adaptive fuzzy logic controller
title_full Development of position tracking of BLDC motor using adaptive fuzzy logic controller
title_fullStr Development of position tracking of BLDC motor using adaptive fuzzy logic controller
title_full_unstemmed Development of position tracking of BLDC motor using adaptive fuzzy logic controller
title_short Development of position tracking of BLDC motor using adaptive fuzzy logic controller
title_sort development of position tracking of bldc motor using adaptive fuzzy logic controller
topic TK Electrical engineering. Electronics Nuclear engineering
TK2000-2891 Dynamoelectric machinery and auxiliaries. Including generators, motors, transformers
url http://eprints.uthm.edu.my/2262/
http://eprints.uthm.edu.my/2262/1/24p%20ELIA%20NADIRA%20SABUDIN.pdf
http://eprints.uthm.edu.my/2262/2/ELIA%20NADIRA%20SABUDIN%20COPYRIGHT%20DECLARATION.pdf
http://eprints.uthm.edu.my/2262/3/ELIA%20NADIRA%20SABUDIN%20WATERMARK.pdf