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
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Online Access:http://eprints.utm.my/id/eprint/79366/1/NurNaqibahBaharudinMFKE2018.pdf
http://eprints.utm.my/id/eprint/79366/
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spelling my.utm.793662018-10-14T08:44:57Z http://eprints.utm.my/id/eprint/79366/ Control of brushless DC motor using siingle-input fuzzy proportional-integral controller 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 NonPeerReviewed application/pdf en http://eprints.utm.my/id/eprint/79366/1/NurNaqibahBaharudinMFKE2018.pdf Baharudin, Nur Naqibah (2018) Control of brushless DC motor using siingle-input fuzzy proportional-integral controller. Masters thesis, Universiti Teknologi Malaysia, Faculty of Electrical Engineering.
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
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
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
publishDate 2018
url http://eprints.utm.my/id/eprint/79366/1/NurNaqibahBaharudinMFKE2018.pdf
http://eprints.utm.my/id/eprint/79366/
_version_ 1643658175150292992
score 13.160551