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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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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
https://ir.uitm.edu.my/id/eprint/100017/
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id my.uitm.ir.100017
record_format eprints
spelling my.uitm.ir.1000172024-08-22T09:49:42Z https://ir.uitm.edu.my/id/eprint/100017/ Modelling the characteristics of a 6/4 Switched Reluctance Motor using neural network / Mohamed Azmi Mohamed Razali 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 NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/100017/1/100017.pdf Modelling the characteristics of a 6/4 Switched Reluctance Motor using neural network / Mohamed Azmi Mohamed Razali. (1997) Degree thesis, thesis, Universiti Teknologi MARA (UiTM). <http://terminalib.uitm.edu.my/100017.pdf>
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
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
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
publishDate 1997
url https://ir.uitm.edu.my/id/eprint/100017/1/100017.pdf
https://ir.uitm.edu.my/id/eprint/100017/
_version_ 1808976073366437888
score 13.211869

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