Speed control of induction motor using fuzzy

This dissertation presents a methodology for implementation of a rule based fuzzy logic controller applied to a closed loop volts/hertz single phase induction motor speed control. The induction motor is modelled by using d-q axis theory. The performance of FLC is compared with that of a PI controll...

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Main Author:	Mohd Nazimudin, Ibrahim
Format:	Thesis
Language:	English
Subjects:	Electric motors Induction Induction motor Fuzzy logic controller Speed control > Induction motor Speed control
Online Access:	http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/61531/1/Page%201-24.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/61531/2/Full%20text.pdf
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id	my-unimap-61531
record_format	uketd_dc
spelling	my-unimap-615312019-08-22T06:35:50Z Speed control of induction motor using fuzzy Mohd Nazimudin, Ibrahim Dr. Muhamad Mokhzaini Azizan This dissertation presents a methodology for implementation of a rule based fuzzy logic controller applied to a closed loop volts/hertz single phase induction motor speed control. The induction motor is modelled by using d-q axis theory. The performance of FLC is compared with that of a PI controller. The advantages of the Fuzzy Logic Controller over the conventional controllers are : (i) they are economically advantageous to develop, (ii) a wider range of operating conditions can be covered using FLCs, and initial approximate set of fuzzy rules can be impulsively refined by a self-organizing fuzzy controller. For volts/hertz speed control of the single phase induction motor, a reference speed has been used and the control architecture includes some rules. The errors are evaluated according to the rules in accordance to the defined member functions. The member functions and the rules have been defined using the Fuzzy Inference System (FIS) editor given in Matlab. The system has been simulated in Matlab / Simulink and the results are given. Provide briefing results, analysis and discussed. Universiti Malaysia Perlis (UniMAP) 2015 Thesis en http://dspace.unimap.edu.my:80/xmlui/handle/123456789/61531 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/61531/1/Page%201-24.pdf d31ed3b5a2baf15a5b0d72d8222328ff http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/61531/2/Full%20text.pdf b7ac05d640d0bd60b51c7dc65d3b545c http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/61531/3/license.txt 8a4605be74aa9ea9d79846c1fba20a33 Electric motors, Induction Induction motor Fuzzy logic controller Speed control -- Induction motor Speed control School of Electrical System Engineering
institution	Universiti Malaysia Perlis
collection	UniMAP Institutional Repository
language	English
advisor	Dr. Muhamad Mokhzaini Azizan
topic	Electric motors Induction Induction motor Fuzzy logic controller Speed control -- Induction motor Speed control
spellingShingle	Electric motors Induction Induction motor Fuzzy logic controller Speed control -- Induction motor Speed control Mohd Nazimudin, Ibrahim Speed control of induction motor using fuzzy
description	This dissertation presents a methodology for implementation of a rule based fuzzy logic controller applied to a closed loop volts/hertz single phase induction motor speed control. The induction motor is modelled by using d-q axis theory. The performance of FLC is compared with that of a PI controller. The advantages of the Fuzzy Logic Controller over the conventional controllers are : (i) they are economically advantageous to develop, (ii) a wider range of operating conditions can be covered using FLCs, and initial approximate set of fuzzy rules can be impulsively refined by a self-organizing fuzzy controller. For volts/hertz speed control of the single phase induction motor, a reference speed has been used and the control architecture includes some rules. The errors are evaluated according to the rules in accordance to the defined member functions. The member functions and the rules have been defined using the Fuzzy Inference System (FIS) editor given in Matlab. The system has been simulated in Matlab / Simulink and the results are given. Provide briefing results, analysis and discussed.
format	Thesis
author	Mohd Nazimudin, Ibrahim
author_facet	Mohd Nazimudin, Ibrahim
author_sort	Mohd Nazimudin, Ibrahim
title	Speed control of induction motor using fuzzy
title_short	Speed control of induction motor using fuzzy
title_full	Speed control of induction motor using fuzzy
title_fullStr	Speed control of induction motor using fuzzy
title_full_unstemmed	Speed control of induction motor using fuzzy
title_sort	speed control of induction motor using fuzzy
granting_institution	Universiti Malaysia Perlis (UniMAP)
granting_department	School of Electrical System Engineering
url	http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/61531/1/Page%201-24.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/61531/2/Full%20text.pdf
_version_	1747836842633330688

Speed control of induction motor using fuzzy

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