A neuro-fuzzy approach for stator resistance estimation of induction motor = pendekatan neuro-fuzzy untuk meramal rintangan stator pada motor induksi

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...

Full description

Saved in:
Bibliographic Details
Main Authors: Norazila, Jaalam, Ahmed Mohamed, Ahmed Haidar, Noor Lina, Ramli, Nor Laili, Ismail
Format: Thesis
Language:English
Published: 2011
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/12115/1/NORAZILA%20JAALAM.PDF
Tags: Add Tag
No Tags, Be the first to tag this record!
id my-ump-ir.12115
record_format uketd_dc
spelling my-ump-ir.121152021-08-24T03:54:31Z A neuro-fuzzy approach for stator resistance estimation of induction motor = pendekatan neuro-fuzzy untuk meramal rintangan stator pada motor induksi 2011 Norazila, Jaalam Ahmed Mohamed, Ahmed Haidar Noor Lina, Ramli Nor Laili, Ismail 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 the changes of induction motor stator resistance using neuro-fuzzy. Then, it will be compared with conventional method like P1 estimator to see the effectiveness. The behaviour of the induction machine will be analyzed when the stator resistance is changed. Based on the changes, a corrective procedure will be applied to ensure the stabilities of the induction motor. Generally, this project can be divided into three main parts which are design of induction motor, design of neuro-fuzzy and PT estimator, and corrective procedure for the induction machine. The Newcastle Drives Simulation Library will be used to design the induction motor model and MATLAB SIMULINK will be used to design the stator current observer. The neuro-fuzzy estimator will be designed based on Sugeno Method Fuzzy Inference System. 2011 Thesis http://umpir.ump.edu.my/id/eprint/12115/ http://umpir.ump.edu.my/id/eprint/12115/1/NORAZILA%20JAALAM.PDF application/pdf en public other Universiti Malaysia Pahang Faculty of Electrical & Electronic Engineering
institution Universiti Malaysia Pahang Al-Sultan Abdullah
collection UMPSA Institutional Repository
language English
topic TK Electrical engineering
Electronics Nuclear engineering
spellingShingle TK Electrical engineering
Electronics Nuclear engineering
Norazila, Jaalam
Ahmed Mohamed, Ahmed Haidar
Noor Lina, Ramli
Nor Laili, Ismail
A neuro-fuzzy approach for stator resistance estimation of induction motor = pendekatan neuro-fuzzy untuk meramal rintangan stator pada motor induksi
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 the changes of induction motor stator resistance using neuro-fuzzy. Then, it will be compared with conventional method like P1 estimator to see the effectiveness. The behaviour of the induction machine will be analyzed when the stator resistance is changed. Based on the changes, a corrective procedure will be applied to ensure the stabilities of the induction motor. Generally, this project can be divided into three main parts which are design of induction motor, design of neuro-fuzzy and PT estimator, and corrective procedure for the induction machine. The Newcastle Drives Simulation Library will be used to design the induction motor model and MATLAB SIMULINK will be used to design the stator current observer. The neuro-fuzzy estimator will be designed based on Sugeno Method Fuzzy Inference System.
format Thesis
qualification_level other
author Norazila, Jaalam
Ahmed Mohamed, Ahmed Haidar
Noor Lina, Ramli
Nor Laili, Ismail
author_facet Norazila, Jaalam
Ahmed Mohamed, Ahmed Haidar
Noor Lina, Ramli
Nor Laili, Ismail
author_sort Norazila, Jaalam
title A neuro-fuzzy approach for stator resistance estimation of induction motor = pendekatan neuro-fuzzy untuk meramal rintangan stator pada motor induksi
title_short A neuro-fuzzy approach for stator resistance estimation of induction motor = pendekatan neuro-fuzzy untuk meramal rintangan stator pada motor induksi
title_full A neuro-fuzzy approach for stator resistance estimation of induction motor = pendekatan neuro-fuzzy untuk meramal rintangan stator pada motor induksi
title_fullStr A neuro-fuzzy approach for stator resistance estimation of induction motor = pendekatan neuro-fuzzy untuk meramal rintangan stator pada motor induksi
title_full_unstemmed A neuro-fuzzy approach for stator resistance estimation of induction motor = pendekatan neuro-fuzzy untuk meramal rintangan stator pada motor induksi
title_sort neuro-fuzzy approach for stator resistance estimation of induction motor = pendekatan neuro-fuzzy untuk meramal rintangan stator pada motor induksi
granting_institution Universiti Malaysia Pahang
granting_department Faculty of Electrical & Electronic Engineering
publishDate 2011
url http://umpir.ump.edu.my/id/eprint/12115/1/NORAZILA%20JAALAM.PDF
_version_ 1783731966935302144