Modelling the characteristics of a 6/4 Switched Reluctance Motor using neural network / Mohamed Azmi Mohamed Razali

Switched Reluctance Motor (SRM) are almost always operated within the saturation region and therefore has a very large operation region. This yields very strong nonlinearities, which makes it difficult to derive a comprehensive mathematical model for the behaviour of the machine. Neural Networks can...

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Bibliographic Details
Main Author:	Mohamed Razali, Mohamed Azmi
Format:	Thesis
Language:	English
Published:	1997
Online Access:	https://ir.uitm.edu.my/id/eprint/100017/1/100017.pdf
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id	my-uitm-ir.100017
record_format	uketd_dc
spelling	my-uitm-ir.1000172024-08-22T09:49:42Z Modelling the characteristics of a 6/4 Switched Reluctance Motor using neural network / Mohamed Azmi Mohamed Razali 1997 Mohamed Razali, Mohamed Azmi Switched Reluctance Motor (SRM) are almost always operated within the saturation region and therefore has a very large operation region. This yields very strong nonlinearities, which makes it difficult to derive a comprehensive mathematical model for the behaviour of the machine. Neural Networks can be used to overcome such problems. This paper presents Neural Networks as a tool to model the characteristics of the motor. The flux-linkage versus current relationship as a function of rotor position for a 6/4 SRM was modelled using Neural 1997 Thesis https://ir.uitm.edu.my/id/eprint/100017/ https://ir.uitm.edu.my/id/eprint/100017/1/100017.pdf text en public degree Universiti Teknologi MARA (UiTM) School of Electrical Engineering Md. Din, Norashidah
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Md. Din, Norashidah
description	Switched Reluctance Motor (SRM) are almost always operated within the saturation region and therefore has a very large operation region. This yields very strong nonlinearities, which makes it difficult to derive a comprehensive mathematical model for the behaviour of the machine. Neural Networks can be used to overcome such problems. This paper presents Neural Networks as a tool to model the characteristics of the motor. The flux-linkage versus current relationship as a function of rotor position for a 6/4 SRM was modelled using Neural
format	Thesis
qualification_level	Bachelor degree
author	Mohamed Razali, Mohamed Azmi
spellingShingle	Mohamed Razali, Mohamed Azmi Modelling the characteristics of a 6/4 Switched Reluctance Motor using neural network / Mohamed Azmi Mohamed Razali
author_facet	Mohamed Razali, Mohamed Azmi
author_sort	Mohamed Razali, Mohamed Azmi
title	Modelling the characteristics of a 6/4 Switched Reluctance Motor using neural network / Mohamed Azmi Mohamed Razali
title_short	Modelling the characteristics of a 6/4 Switched Reluctance Motor using neural network / Mohamed Azmi Mohamed Razali
title_full	Modelling the characteristics of a 6/4 Switched Reluctance Motor using neural network / Mohamed Azmi Mohamed Razali
title_fullStr	Modelling the characteristics of a 6/4 Switched Reluctance Motor using neural network / Mohamed Azmi Mohamed Razali
title_full_unstemmed	Modelling the characteristics of a 6/4 Switched Reluctance Motor using neural network / Mohamed Azmi Mohamed Razali
title_sort	modelling the characteristics of a 6/4 switched reluctance motor using neural network / mohamed azmi mohamed razali
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	School of Electrical Engineering
publishDate	1997
url	https://ir.uitm.edu.my/id/eprint/100017/1/100017.pdf
_version_	1811769045993652224

Modelling the characteristics of a 6/4 Switched Reluctance Motor using neural network / Mohamed Azmi Mohamed Razali

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