Control of brushless DC motor using siingle-input fuzzy proportional-integral controller

Over the years, development in control industry has brought a hybrid controller, Fuzzy Proportional-Integral (PI) Controller (FPIC) as Brushless DC (BLDC) motor speed regulator with as good performance as PI controller. The FPIC suffers from lengthy design time due to the large number of rules and p...

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Main Author:	Baharudin, Nur Naqibah
Format:	Thesis
Language:	English
Published:	2018
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/79366/1/NurNaqibahBaharudinMFKE2018.pdf
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id	my-utm-ep.79366
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spelling	my-utm-ep.793662018-10-14T08:44:57Z Control of brushless DC motor using siingle-input fuzzy proportional-integral controller 2018 Baharudin, Nur Naqibah TK Electrical engineering. Electronics Nuclear engineering Over the years, development in control industry has brought a hybrid controller, Fuzzy Proportional-Integral (PI) Controller (FPIC) as Brushless DC (BLDC) motor speed regulator with as good performance as PI controller. The FPIC suffers from lengthy design time due to the large number of rules and parameter tuning. Thus, this thesis proposes a newly developed Single-Input Fuzzy PI Controller (SIFPIC) to be used as the BLDC motor speed controller. SIFPIC is a simplified version of FPIC with one input variable derived using signed distance method. SIFPIC gives a speed performance comparable to the FPIC but with much faster computing time and simpler tuning process. The motor performance with SIFPIC is evaluated through simulation and experimental approach in terms of speed, current and torque response under several test conditions. The performance is then compared with the motor performance with discrete PI and FPIC speed controller. FPIC is excluded from the comparison in the experiment due to the limitation of DS1104 Digital Signal Processor. From the simulation conducted, SIFPIC produced a comparable performance as FPIC in speed response where both controllers eliminated undershoot and oscillation problems. Under constant speed and changing speed conditions, SIFPIC also showed it superiority from discrete PI controller with average of 36.3% and 11.7% lower ripples than discrete PI controller, respectively. The simulation findings have been verified by the experimental results. 2018 Thesis http://eprints.utm.my/id/eprint/79366/ http://eprints.utm.my/id/eprint/79366/1/NurNaqibahBaharudinMFKE2018.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering Baharudin, Nur Naqibah Control of brushless DC motor using siingle-input fuzzy proportional-integral controller
description	Over the years, development in control industry has brought a hybrid controller, Fuzzy Proportional-Integral (PI) Controller (FPIC) as Brushless DC (BLDC) motor speed regulator with as good performance as PI controller. The FPIC suffers from lengthy design time due to the large number of rules and parameter tuning. Thus, this thesis proposes a newly developed Single-Input Fuzzy PI Controller (SIFPIC) to be used as the BLDC motor speed controller. SIFPIC is a simplified version of FPIC with one input variable derived using signed distance method. SIFPIC gives a speed performance comparable to the FPIC but with much faster computing time and simpler tuning process. The motor performance with SIFPIC is evaluated through simulation and experimental approach in terms of speed, current and torque response under several test conditions. The performance is then compared with the motor performance with discrete PI and FPIC speed controller. FPIC is excluded from the comparison in the experiment due to the limitation of DS1104 Digital Signal Processor. From the simulation conducted, SIFPIC produced a comparable performance as FPIC in speed response where both controllers eliminated undershoot and oscillation problems. Under constant speed and changing speed conditions, SIFPIC also showed it superiority from discrete PI controller with average of 36.3% and 11.7% lower ripples than discrete PI controller, respectively. The simulation findings have been verified by the experimental results.
format	Thesis
qualification_level	Master's degree
author	Baharudin, Nur Naqibah
author_facet	Baharudin, Nur Naqibah
author_sort	Baharudin, Nur Naqibah
title	Control of brushless DC motor using siingle-input fuzzy proportional-integral controller
title_short	Control of brushless DC motor using siingle-input fuzzy proportional-integral controller
title_full	Control of brushless DC motor using siingle-input fuzzy proportional-integral controller
title_fullStr	Control of brushless DC motor using siingle-input fuzzy proportional-integral controller
title_full_unstemmed	Control of brushless DC motor using siingle-input fuzzy proportional-integral controller
title_sort	control of brushless dc motor using siingle-input fuzzy proportional-integral controller
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2018
url	http://eprints.utm.my/id/eprint/79366/1/NurNaqibahBaharudinMFKE2018.pdf
_version_	1747818210990751744

Control of brushless DC motor using siingle-input fuzzy proportional-integral controller

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