Simulation of MRAS based speed sensorless estimation techniques for induction machine drives using MATLAB/Simulink

This thesis is about the study of the speed sensorless estimation techniques of the induction machine drives. Large variations of techniques are available depending on the estimation requirement. MRAS based speed sensorless estimation is one of the most versatile techniques available due to its good...

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Main Author: Haron, Ahmad Razani
Format: Thesis
Language:English
Published: 2006
Subjects:
Online Access:http://eprints.utm.my/id/eprint/1274/1/AhmadRazaniHaronMFKE2006.pdf
http://eprints.utm.my/id/eprint/1274/
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spelling my.utm.12742018-02-20T01:48:32Z http://eprints.utm.my/id/eprint/1274/ Simulation of MRAS based speed sensorless estimation techniques for induction machine drives using MATLAB/Simulink Haron, Ahmad Razani TK Electrical engineering. Electronics Nuclear engineering This thesis is about the study of the speed sensorless estimation techniques of the induction machine drives. Large variations of techniques are available depending on the estimation requirement. MRAS based speed sensorless estimation is one of the most versatile techniques available due to its good performance and straightforward stability approach. This technique uses two different models (the reference model and the adjustable model) which has made the speed estimation a reliable scheme especially when the motor parameters are poorly known or having large variations. Rotor flux based MRAS (RF-MRAS) and back e.m.f based MRAS (BEMF-MRAS) are two variants of MRAS based speed estimation techniques which differ in terms of quantity used but share almost the same structure realization. These facts give a good platform for comparison. The tracking capability and sensitivity to parameters variation are two key criteria of comparison in assessing the performance of the estimators. Implemented in the direct torque control (DTC) structure and simulated in the MATLAB/Simulink, the results obtained justify the dynamic performance of the RF-MRAS and BEMF-MRAS estimators 2006-05 Thesis NonPeerReviewed application/pdf en http://eprints.utm.my/id/eprint/1274/1/AhmadRazaniHaronMFKE2006.pdf Haron, Ahmad Razani (2006) Simulation of MRAS based speed sensorless estimation techniques for induction machine drives using MATLAB/Simulink. Masters thesis, Universiti Teknologi Malaysia, Faculty of Electrical Engineering.
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Haron, Ahmad Razani
Simulation of MRAS based speed sensorless estimation techniques for induction machine drives using MATLAB/Simulink
description This thesis is about the study of the speed sensorless estimation techniques of the induction machine drives. Large variations of techniques are available depending on the estimation requirement. MRAS based speed sensorless estimation is one of the most versatile techniques available due to its good performance and straightforward stability approach. This technique uses two different models (the reference model and the adjustable model) which has made the speed estimation a reliable scheme especially when the motor parameters are poorly known or having large variations. Rotor flux based MRAS (RF-MRAS) and back e.m.f based MRAS (BEMF-MRAS) are two variants of MRAS based speed estimation techniques which differ in terms of quantity used but share almost the same structure realization. These facts give a good platform for comparison. The tracking capability and sensitivity to parameters variation are two key criteria of comparison in assessing the performance of the estimators. Implemented in the direct torque control (DTC) structure and simulated in the MATLAB/Simulink, the results obtained justify the dynamic performance of the RF-MRAS and BEMF-MRAS estimators
format Thesis
author Haron, Ahmad Razani
author_facet Haron, Ahmad Razani
author_sort Haron, Ahmad Razani
title Simulation of MRAS based speed sensorless estimation techniques for induction machine drives using MATLAB/Simulink
title_short Simulation of MRAS based speed sensorless estimation techniques for induction machine drives using MATLAB/Simulink
title_full Simulation of MRAS based speed sensorless estimation techniques for induction machine drives using MATLAB/Simulink
title_fullStr Simulation of MRAS based speed sensorless estimation techniques for induction machine drives using MATLAB/Simulink
title_full_unstemmed Simulation of MRAS based speed sensorless estimation techniques for induction machine drives using MATLAB/Simulink
title_sort simulation of mras based speed sensorless estimation techniques for induction machine drives using matlab/simulink
publishDate 2006
url http://eprints.utm.my/id/eprint/1274/1/AhmadRazaniHaronMFKE2006.pdf
http://eprints.utm.my/id/eprint/1274/
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score 13.212271