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:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/1274/1/AhmadRazaniHaronMFKE2006.pdf
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id	my-utm-ep.1274
record_format	uketd_dc
spelling	my-utm-ep.12742018-02-20T01:48:32Z Simulation of MRAS based speed sensorless estimation techniques for induction machine drives using MATLAB/Simulink 2006-05 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 http://eprints.utm.my/id/eprint/1274/ http://eprints.utm.my/id/eprint/1274/1/AhmadRazaniHaronMFKE2006.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
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
qualification_level	Master's degree
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
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2006
url	http://eprints.utm.my/id/eprint/1274/1/AhmadRazaniHaronMFKE2006.pdf
_version_	1747814371769188352

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

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