Development of direct torque control with neural network for speed change in 3-phase induction motor

This project proposes a technique to develop an improved direct torque control (DTC) with neural network in order to control the speed of the three-phase induction motor. This project will developed using MATLAB software to simulate the outcome for the module designed. The NN controller have to be d...

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Main Author: Mohammad Gunawan, Muhammad Faqih Muhsin
Format: Thesis
Language:English
English
English
Published: 2019
Subjects:
Online Access:http://eprints.uthm.edu.my/577/1/24p%20MUHAMMAD%20FAQIH%20MUHSIN%20MOHAMMAD%20GUNAWAN.pdf
http://eprints.uthm.edu.my/577/2/MUHAMMAD%20FAQIH%20MUHSIN%20MOHAMMAD%20GUNAWAN%20COPYRIGHT%20DECLARATION.pdf
http://eprints.uthm.edu.my/577/3/MUHAMMAD%20FAQIH%20MUHSIN%20MOHAMMAD%20GUNAWAN%20WATERMARK.pdf
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spelling my-uthm-ep.5772021-08-05T03:47:20Z Development of direct torque control with neural network for speed change in 3-phase induction motor 2019-07 Mohammad Gunawan, Muhammad Faqih Muhsin TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television This project proposes a technique to develop an improved direct torque control (DTC) with neural network in order to control the speed of the three-phase induction motor. This project will developed using MATLAB software to simulate the outcome for the module designed. The NN controller have to be designed and tuned properly. This project focus on the simulation of modelling the three-phase induction motor, implementing the neural network control and comparing the proposed model to the conventional DTC. This researched proposed an ability to control a three-phase induction motor and estimates the speed of motor. NN controller is being used and implemented throughout this project to control the speed of an induction motor. This DTC control works if there is a changes in loads, the inverter switch for the motor will changes as well. Thus, a NN structure has been designed to improve the conventional DTC system. This system is being tested with load disturbance of 0.2Nm and 0.8Nm to verify its effectiveness of NN controller compared to conventional DTC controller. Previously, conventional control system used PID controller for DTC. This project proposed an improvement for this type of DTC control by using NN. The NN controller improves the torque response as well as speed response for NN for 13ms faster compared to PID-DTC. 2019-07 Thesis http://eprints.uthm.edu.my/577/ http://eprints.uthm.edu.my/577/1/24p%20MUHAMMAD%20FAQIH%20MUHSIN%20MOHAMMAD%20GUNAWAN.pdf text en public http://eprints.uthm.edu.my/577/2/MUHAMMAD%20FAQIH%20MUHSIN%20MOHAMMAD%20GUNAWAN%20COPYRIGHT%20DECLARATION.pdf text en staffonly http://eprints.uthm.edu.my/577/3/MUHAMMAD%20FAQIH%20MUHSIN%20MOHAMMAD%20GUNAWAN%20WATERMARK.pdf text en validuser mphil masters Universiti Tun Hussein Onn Malaysia Fakulti Kejuruteraan Elektrik dan Elektronik
institution Universiti Tun Hussein Onn Malaysia
collection UTHM Institutional Repository
language English
English
English
topic TK5101-6720 Telecommunication
Including telegraphy, telephone, radio, radar, television
spellingShingle TK5101-6720 Telecommunication
Including telegraphy, telephone, radio, radar, television
Mohammad Gunawan, Muhammad Faqih Muhsin
Development of direct torque control with neural network for speed change in 3-phase induction motor
description This project proposes a technique to develop an improved direct torque control (DTC) with neural network in order to control the speed of the three-phase induction motor. This project will developed using MATLAB software to simulate the outcome for the module designed. The NN controller have to be designed and tuned properly. This project focus on the simulation of modelling the three-phase induction motor, implementing the neural network control and comparing the proposed model to the conventional DTC. This researched proposed an ability to control a three-phase induction motor and estimates the speed of motor. NN controller is being used and implemented throughout this project to control the speed of an induction motor. This DTC control works if there is a changes in loads, the inverter switch for the motor will changes as well. Thus, a NN structure has been designed to improve the conventional DTC system. This system is being tested with load disturbance of 0.2Nm and 0.8Nm to verify its effectiveness of NN controller compared to conventional DTC controller. Previously, conventional control system used PID controller for DTC. This project proposed an improvement for this type of DTC control by using NN. The NN controller improves the torque response as well as speed response for NN for 13ms faster compared to PID-DTC.
format Thesis
qualification_name Master of Philosophy (M.Phil.)
qualification_level Master's degree
author Mohammad Gunawan, Muhammad Faqih Muhsin
author_facet Mohammad Gunawan, Muhammad Faqih Muhsin
author_sort Mohammad Gunawan, Muhammad Faqih Muhsin
title Development of direct torque control with neural network for speed change in 3-phase induction motor
title_short Development of direct torque control with neural network for speed change in 3-phase induction motor
title_full Development of direct torque control with neural network for speed change in 3-phase induction motor
title_fullStr Development of direct torque control with neural network for speed change in 3-phase induction motor
title_full_unstemmed Development of direct torque control with neural network for speed change in 3-phase induction motor
title_sort development of direct torque control with neural network for speed change in 3-phase induction motor
granting_institution Universiti Tun Hussein Onn Malaysia
granting_department Fakulti Kejuruteraan Elektrik dan Elektronik
publishDate 2019
url http://eprints.uthm.edu.my/577/1/24p%20MUHAMMAD%20FAQIH%20MUHSIN%20MOHAMMAD%20GUNAWAN.pdf
http://eprints.uthm.edu.my/577/2/MUHAMMAD%20FAQIH%20MUHSIN%20MOHAMMAD%20GUNAWAN%20COPYRIGHT%20DECLARATION.pdf
http://eprints.uthm.edu.my/577/3/MUHAMMAD%20FAQIH%20MUHSIN%20MOHAMMAD%20GUNAWAN%20WATERMARK.pdf
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