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,...

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Main Author: Mortezaei, Ali
Format: Thesis
Language:English
Published: 2010
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Online Access:http://eprints.utm.my/id/eprint/26690/1/AliMortezaeiMFKE2010.pdf
http://eprints.utm.my/id/eprint/26690/
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spelling my.utm.266902017-09-13T03:49:07Z http://eprints.utm.my/id/eprint/26690/ Direct torque control of induction machines utilizing mutilevel inverter and artificial intelligent 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 NonPeerReviewed application/pdf en http://eprints.utm.my/id/eprint/26690/1/AliMortezaeiMFKE2010.pdf Mortezaei, Ali (2010) Direct torque control of induction machines utilizing mutilevel inverter and artificial intelligent. 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
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
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
publishDate 2010
url http://eprints.utm.my/id/eprint/26690/1/AliMortezaeiMFKE2010.pdf
http://eprints.utm.my/id/eprint/26690/
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score 13.211869