Direct torque control of induction machines utilizing mutilevel inverter and artificial intelligent

This thesis presents a high performance Direct Torque Control (DTC) of induction machine (IM) drives. A summary of the theoretical aspects and principles of DTC are given with emphasis on two major problems, i.e. high torque ripple and variable switching frequency. In order to solve these problems,...

Full description

Saved in:

Bibliographic Details
Main Author:	Mortezaei, Ali
Format:	Thesis
Language:	English
Published:	2010
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/26690/1/AliMortezaeiMFKE2010.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-utm-ep.26690
record_format	uketd_dc
spelling	my-utm-ep.266902017-09-13T03:49:07Z Direct torque control of induction machines utilizing mutilevel inverter and artificial intelligent 2010 Mortezaei, Ali TK Electrical engineering. Electronics Nuclear engineering This thesis presents a high performance Direct Torque Control (DTC) of induction machine (IM) drives. A summary of the theoretical aspects and principles of DTC are given with emphasis on two major problems, i.e. high torque ripple and variable switching frequency. In order to solve these problems, this thesis proposed direct torque control of induction machines utilizing multilevel inverter and artificial intelligent. It proposes to use three, five and seven level cascaded and diode clamped inverter topology which results in further torque ripple minimization compare to the two level inverter-based conventional DTC. It also proposed a new Fuzzy DTC using Sugeno as the inference method to replace the hysteresis comparators in the conventional DTC, which results in reducing the flux ripples significantly as well as reducing the Total Harmonic Distortion (THD) of the phase current since a more sinusoidal current wave is achieved by solving the problem of variable switching frequency. The simulation of the multilevel inverter topology-based Conventional and Fuzzy DTC is presented. The simulation results prove that torque ripple reduction is obtained while the stator flux ripples also manage to achieve reduction. Furthermore, the switching frequency is fixed and a smoother sinusoidal phase current is obtained. 2010 Thesis http://eprints.utm.my/id/eprint/26690/ http://eprints.utm.my/id/eprint/26690/1/AliMortezaeiMFKE2010.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 Mortezaei, Ali Direct torque control of induction machines utilizing mutilevel inverter and artificial intelligent
description	This thesis presents a high performance Direct Torque Control (DTC) of induction machine (IM) drives. A summary of the theoretical aspects and principles of DTC are given with emphasis on two major problems, i.e. high torque ripple and variable switching frequency. In order to solve these problems, this thesis proposed direct torque control of induction machines utilizing multilevel inverter and artificial intelligent. It proposes to use three, five and seven level cascaded and diode clamped inverter topology which results in further torque ripple minimization compare to the two level inverter-based conventional DTC. It also proposed a new Fuzzy DTC using Sugeno as the inference method to replace the hysteresis comparators in the conventional DTC, which results in reducing the flux ripples significantly as well as reducing the Total Harmonic Distortion (THD) of the phase current since a more sinusoidal current wave is achieved by solving the problem of variable switching frequency. The simulation of the multilevel inverter topology-based Conventional and Fuzzy DTC is presented. The simulation results prove that torque ripple reduction is obtained while the stator flux ripples also manage to achieve reduction. Furthermore, the switching frequency is fixed and a smoother sinusoidal phase current is obtained.
format	Thesis
qualification_level	Master's degree
author	Mortezaei, Ali
author_facet	Mortezaei, Ali
author_sort	Mortezaei, Ali
title	Direct torque control of induction machines utilizing mutilevel inverter and artificial intelligent
title_short	Direct torque control of induction machines utilizing mutilevel inverter and artificial intelligent
title_full	Direct torque control of induction machines utilizing mutilevel inverter and artificial intelligent
title_fullStr	Direct torque control of induction machines utilizing mutilevel inverter and artificial intelligent
title_full_unstemmed	Direct torque control of induction machines utilizing mutilevel inverter and artificial intelligent
title_sort	direct torque control of induction machines utilizing mutilevel inverter and artificial intelligent
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2010
url	http://eprints.utm.my/id/eprint/26690/1/AliMortezaeiMFKE2010.pdf
_version_	1747815487164645376

Direct torque control of induction machines utilizing mutilevel inverter and artificial intelligent

Similar Items