Direct torque control of induction motor using Artificial Neural Network (ANN) / Fitra Kamil Abdul Halim

This thesis present a direct torque control (DTC) using the space vector modulation technique which is applied to a three-phase inverter to control induction motor. The induction motor is modeled using space vector theory that describes the motor parameter in terms of d-axis and q-axis. The purposes...

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Bibliographic Details
Main Author:	Abdul Halim, Fitra Kamil
Format:	Thesis
Language:	English
Published:	2004
Online Access:	https://ir.uitm.edu.my/id/eprint/84577/1/84577.pdf
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id	my-uitm-ir.84577
record_format	uketd_dc
spelling	my-uitm-ir.845772024-02-23T03:41:51Z Direct torque control of induction motor using Artificial Neural Network (ANN) / Fitra Kamil Abdul Halim 2004 Abdul Halim, Fitra Kamil This thesis present a direct torque control (DTC) using the space vector modulation technique which is applied to a three-phase inverter to control induction motor. The induction motor is modeled using space vector theory that describes the motor parameter in terms of d-axis and q-axis. The purposes of estimator or observer that represent the actual motor is to measure the flux and torque of the induction motor based on the current and voltages obtained from the induction motor. AI technique is implemented to replace the conventional Pi-controller and the outcome will be compared with the existing results in [4]. Simulation of the conventional and proposed controller will be presented as the final result. 2004 Thesis https://ir.uitm.edu.my/id/eprint/84577/ https://ir.uitm.edu.my/id/eprint/84577/1/84577.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Abd. Hadi, Razali
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Abd. Hadi, Razali
description	This thesis present a direct torque control (DTC) using the space vector modulation technique which is applied to a three-phase inverter to control induction motor. The induction motor is modeled using space vector theory that describes the motor parameter in terms of d-axis and q-axis. The purposes of estimator or observer that represent the actual motor is to measure the flux and torque of the induction motor based on the current and voltages obtained from the induction motor. AI technique is implemented to replace the conventional Pi-controller and the outcome will be compared with the existing results in [4]. Simulation of the conventional and proposed controller will be presented as the final result.
format	Thesis
qualification_level	Bachelor degree
author	Abdul Halim, Fitra Kamil
spellingShingle	Abdul Halim, Fitra Kamil Direct torque control of induction motor using Artificial Neural Network (ANN) / Fitra Kamil Abdul Halim
author_facet	Abdul Halim, Fitra Kamil
author_sort	Abdul Halim, Fitra Kamil
title	Direct torque control of induction motor using Artificial Neural Network (ANN) / Fitra Kamil Abdul Halim
title_short	Direct torque control of induction motor using Artificial Neural Network (ANN) / Fitra Kamil Abdul Halim
title_full	Direct torque control of induction motor using Artificial Neural Network (ANN) / Fitra Kamil Abdul Halim
title_fullStr	Direct torque control of induction motor using Artificial Neural Network (ANN) / Fitra Kamil Abdul Halim
title_full_unstemmed	Direct torque control of induction motor using Artificial Neural Network (ANN) / Fitra Kamil Abdul Halim
title_sort	direct torque control of induction motor using artificial neural network (ann) / fitra kamil abdul halim
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Electrical Engineering
publishDate	2004
url	https://ir.uitm.edu.my/id/eprint/84577/1/84577.pdf
_version_	1794192024459542528

Direct torque control of induction motor using Artificial Neural Network (ANN) / Fitra Kamil Abdul Halim

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