Direct torque control of induction motor for speed control using back propagation in artificial neural network / Muhammad Khairul Arifin Abd Aziz

This report presents Artificial Neural Network controller for direct torque control, (DTC) induction motor drives. ANN speed controller for an induction motor which behaves similar to PI (Proportional and integral) controller. The model of induction motor is designed using the relevant equations. A...

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Main Author: Abd Aziz, Muhammad Khairul Arifin
Format: Thesis
Language:English
Published: 2004
Online Access:https://ir.uitm.edu.my/id/eprint/84904/1/84904.pdf
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spelling my-uitm-ir.849042024-01-16T03:09:59Z Direct torque control of induction motor for speed control using back propagation in artificial neural network / Muhammad Khairul Arifin Abd Aziz 2004 Abd Aziz, Muhammad Khairul Arifin This report presents Artificial Neural Network controller for direct torque control, (DTC) induction motor drives. ANN speed controller for an induction motor which behaves similar to PI (Proportional and integral) controller. The model of induction motor is designed using the relevant equations. A closed-loop system is used for testing. The induction motor speed is control by ANN Technique using samples obtained from the classical technique (PI controller) and Direct Torque Control (DTC) controller. The data for training ANN is generated by simulating a model of the induction motor using SIMULINK. In supervised session, back propagation method will be applied in ANN programs. Comparison is made between classical technique and ANN technique. 2004 Thesis https://ir.uitm.edu.my/id/eprint/84904/ https://ir.uitm.edu.my/id/eprint/84904/1/84904.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Ismail, Ishak
institution Universiti Teknologi MARA
collection UiTM Institutional Repository
language English
advisor Ismail, Ishak
description This report presents Artificial Neural Network controller for direct torque control, (DTC) induction motor drives. ANN speed controller for an induction motor which behaves similar to PI (Proportional and integral) controller. The model of induction motor is designed using the relevant equations. A closed-loop system is used for testing. The induction motor speed is control by ANN Technique using samples obtained from the classical technique (PI controller) and Direct Torque Control (DTC) controller. The data for training ANN is generated by simulating a model of the induction motor using SIMULINK. In supervised session, back propagation method will be applied in ANN programs. Comparison is made between classical technique and ANN technique.
format Thesis
qualification_level Bachelor degree
author Abd Aziz, Muhammad Khairul Arifin
spellingShingle Abd Aziz, Muhammad Khairul Arifin
Direct torque control of induction motor for speed control using back propagation in artificial neural network / Muhammad Khairul Arifin Abd Aziz
author_facet Abd Aziz, Muhammad Khairul Arifin
author_sort Abd Aziz, Muhammad Khairul Arifin
title Direct torque control of induction motor for speed control using back propagation in artificial neural network / Muhammad Khairul Arifin Abd Aziz
title_short Direct torque control of induction motor for speed control using back propagation in artificial neural network / Muhammad Khairul Arifin Abd Aziz
title_full Direct torque control of induction motor for speed control using back propagation in artificial neural network / Muhammad Khairul Arifin Abd Aziz
title_fullStr Direct torque control of induction motor for speed control using back propagation in artificial neural network / Muhammad Khairul Arifin Abd Aziz
title_full_unstemmed Direct torque control of induction motor for speed control using back propagation in artificial neural network / Muhammad Khairul Arifin Abd Aziz
title_sort direct torque control of induction motor for speed control using back propagation in artificial neural network / muhammad khairul arifin abd aziz
granting_institution Universiti Teknologi MARA (UiTM)
granting_department Faculty of Electrical Engineering
publishDate 2004
url https://ir.uitm.edu.my/id/eprint/84904/1/84904.pdf
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