A neuro-fuzzy approach for stator resistance estimation of induction motor

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 Authors: Jaalam, Norazila, Ahmed Haidar, Ahmed Mohamed, Ramli, Noor Lina, Nor Laili, Ismail
Format: Research Report
Language:English
Published: 2011
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/36482/1/A%20neuro-fuzzy%20approach%20for%20stator%20resistance%20estimation%20of%20induction%20motor.wm.pdf
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author Jaalam, Norazila
Ahmed Haidar, Ahmed Mohamed
Ramli, Noor Lina
Nor Laili, Ismail
author_facet Jaalam, Norazila
Ahmed Haidar, Ahmed Mohamed
Ramli, Noor Lina
Nor Laili, Ismail
author_sort Jaalam, Norazila
collection UMP
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 PI 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 PI 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.
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spelling UMPir364822023-03-08T07:40:26Z http://umpir.ump.edu.my/id/eprint/36482/ A neuro-fuzzy approach for stator resistance estimation of induction motor Jaalam, Norazila Ahmed Haidar, Ahmed Mohamed Ramli, Noor Lina 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 PI 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 PI 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 Research Report NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/36482/1/A%20neuro-fuzzy%20approach%20for%20stator%20resistance%20estimation%20of%20induction%20motor.wm.pdf Jaalam, Norazila and Ahmed Haidar, Ahmed Mohamed and Ramli, Noor Lina and Nor Laili, Ismail (2011) A neuro-fuzzy approach for stator resistance estimation of induction motor. , [Research Report] (Unpublished)
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Jaalam, Norazila
Ahmed Haidar, Ahmed Mohamed
Ramli, Noor Lina
Nor Laili, Ismail
A neuro-fuzzy approach for stator resistance estimation of induction motor
title A neuro-fuzzy approach for stator resistance estimation of induction motor
title_full A neuro-fuzzy approach for stator resistance estimation of induction motor
title_fullStr A neuro-fuzzy approach for stator resistance estimation of induction motor
title_full_unstemmed A neuro-fuzzy approach for stator resistance estimation of induction motor
title_short A neuro-fuzzy approach for stator resistance estimation of induction motor
title_sort neuro fuzzy approach for stator resistance estimation of induction motor
topic TK Electrical engineering. Electronics Nuclear engineering
url http://umpir.ump.edu.my/id/eprint/36482/1/A%20neuro-fuzzy%20approach%20for%20stator%20resistance%20estimation%20of%20induction%20motor.wm.pdf
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