Stator resistance estimation of induction motor using genetic algorithm

Nowadays, induction motors are mainly used in all industrial especially in plant industrial. In general, this motor is widely used because it is cheaper, easy to maintenance, no friction by brushes and their speed are easy to control compared to the direct current (DC) motor. But, the stator resista...

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Main Author:	Nurul Syamila, Mohd Rosli
Format:	Undergraduates Project Papers
Language:	English
Published:	2012
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/4450/ http://umpir.ump.edu.my/id/eprint/4450/ http://umpir.ump.edu.my/id/eprint/4450/1/cd6756_56.pdf

id	ump-4450
recordtype	eprints
spelling	ump-44502015-03-03T09:19:06Z http://umpir.ump.edu.my/id/eprint/4450/ Stator resistance estimation of induction motor using genetic algorithm Nurul Syamila, Mohd Rosli TK Electrical engineering. Electronics Nuclear engineering Nowadays, induction motors are mainly used in all industrial especially in plant industrial. In general, this motor is widely used because it is cheaper, easy to maintenance, no friction by brushes and their speed are easy to control compared to the direct current (DC) motor. But, the stator resistance changes continuously with the temperature of the machine. The changes can cause an error between the actual and estimated motor torques which leads to motor break down in worst cases. In order to solve this issue, a genetic algorithm method is designed to estimate the variation of stator resistance. This project is about to design genetic algorithm estimator using MATLAB software, and builds an actual induction motor using Newcastle University Drives Simulation Library. Finally these parts of Simulink diagram will be combined to estimate the variation of stator resistance. 2012-06 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/4450/1/cd6756_56.pdf Nurul Syamila, Mohd Rosli (2012) Stator resistance estimation of induction motor using genetic algorithm. Faculty of Mechanical Engineering, Universiti Malaysia Pahang. http://iportal.ump.edu.my/lib/item?id=chamo:73907&theme=UMP2
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Nurul Syamila, Mohd Rosli Stator resistance estimation of induction motor using genetic algorithm
description	Nowadays, induction motors are mainly used in all industrial especially in plant industrial. In general, this motor is widely used because it is cheaper, easy to maintenance, no friction by brushes and their speed are easy to control compared to the direct current (DC) motor. But, the stator resistance changes continuously with the temperature of the machine. The changes can cause an error between the actual and estimated motor torques which leads to motor break down in worst cases. In order to solve this issue, a genetic algorithm method is designed to estimate the variation of stator resistance. This project is about to design genetic algorithm estimator using MATLAB software, and builds an actual induction motor using Newcastle University Drives Simulation Library. Finally these parts of Simulink diagram will be combined to estimate the variation of stator resistance.
format	Undergraduates Project Papers
author	Nurul Syamila, Mohd Rosli
author_facet	Nurul Syamila, Mohd Rosli
author_sort	Nurul Syamila, Mohd Rosli
title	Stator resistance estimation of induction motor using genetic algorithm
title_short	Stator resistance estimation of induction motor using genetic algorithm
title_full	Stator resistance estimation of induction motor using genetic algorithm
title_fullStr	Stator resistance estimation of induction motor using genetic algorithm
title_full_unstemmed	Stator resistance estimation of induction motor using genetic algorithm
title_sort	stator resistance estimation of induction motor using genetic algorithm
publishDate	2012
url	http://umpir.ump.edu.my/id/eprint/4450/ http://umpir.ump.edu.my/id/eprint/4450/ http://umpir.ump.edu.my/id/eprint/4450/1/cd6756_56.pdf
first_indexed	2023-09-18T21:59:03Z
last_indexed	2023-09-18T21:59:03Z
_version_	1777414274562392064

Stator resistance estimation of induction motor using genetic algorithm

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