A stator resistance estimation of induction motor using neural network

During the operation of induction motor, stator resistance changes incessantly with the temperature of the working machine. This situation may cause an error in rotor resistance estimation of the same magnitude and will produce an error between the actual and estimated motor torque which can leads t...

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Main Author: Mohd Shukri, Alias
Format: Undergraduates Project Papers
Language:English
Published: 2010
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/1997/
http://umpir.ump.edu.my/id/eprint/1997/
http://umpir.ump.edu.my/id/eprint/1997/1/Mohd_Shukri_Alias_%28_CD_5290_%29.pdf
id ump-1997
recordtype eprints
spelling ump-19972015-03-03T07:54:01Z http://umpir.ump.edu.my/id/eprint/1997/ A stator resistance estimation of induction motor using neural network Mohd Shukri, Alias TK Electrical engineering. Electronics Nuclear engineering During the operation of induction motor, stator resistance changes incessantly with the temperature of the working machine. This situation may cause an error in rotor resistance estimation of the same magnitude and will produce an error between the actual and estimated motor torque which can leads to motor breakdown in worst cases. Therefore, this project will propose an approach to estimate stator resistance of induction motor using neural network. Then, a correction will be made to ensure the stabilization of the system.This work has been motivated by the recent use of neural networks in different industry applications, and by their several advantages over the conventional controllers, such as stability, reliability, speed, and robustness. 2010-12 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/1997/1/Mohd_Shukri_Alias_%28_CD_5290_%29.pdf Mohd Shukri, Alias (2010) A stator resistance estimation of induction motor using neural network. Faculty Of Electrical & Electronic Engineering, Universiti Malaysia Pahang. http://iportal.ump.edu.my/lib/item?id=chamo:55045&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
Mohd Shukri, Alias
A stator resistance estimation of induction motor using neural network
description During the operation of induction motor, stator resistance changes incessantly with the temperature of the working machine. This situation may cause an error in rotor resistance estimation of the same magnitude and will produce an error between the actual and estimated motor torque which can leads to motor breakdown in worst cases. Therefore, this project will propose an approach to estimate stator resistance of induction motor using neural network. Then, a correction will be made to ensure the stabilization of the system.This work has been motivated by the recent use of neural networks in different industry applications, and by their several advantages over the conventional controllers, such as stability, reliability, speed, and robustness.
format Undergraduates Project Papers
author Mohd Shukri, Alias
author_facet Mohd Shukri, Alias
author_sort Mohd Shukri, Alias
title A stator resistance estimation of induction motor using neural network
title_short A stator resistance estimation of induction motor using neural network
title_full A stator resistance estimation of induction motor using neural network
title_fullStr A stator resistance estimation of induction motor using neural network
title_full_unstemmed A stator resistance estimation of induction motor using neural network
title_sort stator resistance estimation of induction motor using neural network
publishDate 2010
url http://umpir.ump.edu.my/id/eprint/1997/
http://umpir.ump.edu.my/id/eprint/1997/
http://umpir.ump.edu.my/id/eprint/1997/1/Mohd_Shukri_Alias_%28_CD_5290_%29.pdf
first_indexed 2023-09-18T21:55:26Z
last_indexed 2023-09-18T21:55:26Z
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