A speed controller of induction motor using artificial neural network / Hayati Nur Abdul Aziz
Artificial Neural Network has been trained to perform complex functions in various fields of applications including pattern recognition, identification speech, vision and control system. This report presents ANN speed controller for an induction motor which behaves similar to PI (Proportional and in...
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2004
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my.uitm.ir.846472024-04-23T08:45:48Z https://ir.uitm.edu.my/id/eprint/84647/ A speed controller of induction motor using artificial neural network / Hayati Nur Abdul Aziz Abdul Aziz, Hayati Nur Artificial Neural Network has been trained to perform complex functions in various fields of applications including pattern recognition, identification speech, vision and control system. This report presents 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 NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/84647/1/84647.PDF A speed controller of induction motor using artificial neural network / Hayati Nur Abdul Aziz. (2004) Degree thesis, thesis, Universiti Teknologi MARA (UiTM). |
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Artificial Neural Network has been trained to perform complex functions in various fields of applications including pattern recognition, identification speech, vision and control system. This report presents 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. |
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Abdul Aziz, Hayati Nur |
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Abdul Aziz, Hayati Nur A speed controller of induction motor using artificial neural network / Hayati Nur Abdul Aziz |
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Abdul Aziz, Hayati Nur |
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Abdul Aziz, Hayati Nur |
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A speed controller of induction motor using artificial neural network / Hayati Nur Abdul Aziz |
title_short |
A speed controller of induction motor using artificial neural network / Hayati Nur Abdul Aziz |
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A speed controller of induction motor using artificial neural network / Hayati Nur Abdul Aziz |
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A speed controller of induction motor using artificial neural network / Hayati Nur Abdul Aziz |
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A speed controller of induction motor using artificial neural network / Hayati Nur Abdul Aziz |
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speed controller of induction motor using artificial neural network / hayati nur abdul aziz |
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2004 |
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https://ir.uitm.edu.my/id/eprint/84647/1/84647.PDF https://ir.uitm.edu.my/id/eprint/84647/ |
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