Indirect field-oriented controlled of induction motor using fuzzy logic technique

In modern application of electric motors, wide ranges of speed and torque are required to drive the industrial processes, electric vehicles, water pumps, home appliances and others. While some of the processes require various speeds with constant torque, other processes require various torqueses wit...

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Main Author: Wan Abd Malik, Wan Mohamad Khairudin
Format: Thesis
Language:English
Published: 2012
Subjects:
Online Access:http://psasir.upm.edu.my/id/eprint/48462/1/FK%202012%20109R.pdf
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spelling my-upm-ir.484622016-09-09T02:47:25Z Indirect field-oriented controlled of induction motor using fuzzy logic technique 2012-05 Wan Abd Malik, Wan Mohamad Khairudin In modern application of electric motors, wide ranges of speed and torque are required to drive the industrial processes, electric vehicles, water pumps, home appliances and others. While some of the processes require various speeds with constant torque, other processes require various torqueses with constant speed or both. These processes are using continuous, non-continuous, linear and non-linear loads. Many control methods have been designed and implemented to increase quality, process efficiencies and reduction in energy consumption. The Indirect Field Oriented Control (IFOC) is a method of controlling three-phase induction motor which converts the three-phase induction motor into a linear device where the torque and the flux in the motor can be controlled independently. The aim of this work is to simulate IFOC in MATLAB/Simulink and further to implement the system using MATLAB/Simulink and Code Composer Studio (CCS) software with DSPF2812 controller board. The simulations of IFOC system include Proportional / Integral (PI) and Fuzzy Logic controller. The simulation will determine response and stability of the system. The system implementation is divided into three steps. The first step is to design the system using Matlab/Simulink software. This includes the IFOC system, parameter setting and configuration of the controller board input and output interfaces. Second part is to develop three-phase inverter, driver circuit and signal conditioning circuit. The third part is to test the IFOC system and to record the response of the system in both simulation and implementation works. The results show the speed response with different PI gain setting and Fuzzy Logic controller. The configuration of the controller board is done through MATLAB DSP toolbox. New Fuzzy controller is designed using MATLAB/Simulink block set and direct implementation through the software is introduced. The results showed that Fuzzy Logic controller produced better response as compared to PI. Electric motors, Induction - Design and construction 2012-05 Thesis http://psasir.upm.edu.my/id/eprint/48462/ http://psasir.upm.edu.my/id/eprint/48462/1/FK%202012%20109R.pdf application/pdf en public masters Universiti Putra Malaysia Electric motors, Induction - Design and construction
institution Universiti Putra Malaysia
collection PSAS Institutional Repository
language English
topic Electric motors
Induction - Design and construction


spellingShingle Electric motors
Induction - Design and construction


Wan Abd Malik, Wan Mohamad Khairudin
Indirect field-oriented controlled of induction motor using fuzzy logic technique
description In modern application of electric motors, wide ranges of speed and torque are required to drive the industrial processes, electric vehicles, water pumps, home appliances and others. While some of the processes require various speeds with constant torque, other processes require various torqueses with constant speed or both. These processes are using continuous, non-continuous, linear and non-linear loads. Many control methods have been designed and implemented to increase quality, process efficiencies and reduction in energy consumption. The Indirect Field Oriented Control (IFOC) is a method of controlling three-phase induction motor which converts the three-phase induction motor into a linear device where the torque and the flux in the motor can be controlled independently. The aim of this work is to simulate IFOC in MATLAB/Simulink and further to implement the system using MATLAB/Simulink and Code Composer Studio (CCS) software with DSPF2812 controller board. The simulations of IFOC system include Proportional / Integral (PI) and Fuzzy Logic controller. The simulation will determine response and stability of the system. The system implementation is divided into three steps. The first step is to design the system using Matlab/Simulink software. This includes the IFOC system, parameter setting and configuration of the controller board input and output interfaces. Second part is to develop three-phase inverter, driver circuit and signal conditioning circuit. The third part is to test the IFOC system and to record the response of the system in both simulation and implementation works. The results show the speed response with different PI gain setting and Fuzzy Logic controller. The configuration of the controller board is done through MATLAB DSP toolbox. New Fuzzy controller is designed using MATLAB/Simulink block set and direct implementation through the software is introduced. The results showed that Fuzzy Logic controller produced better response as compared to PI.
format Thesis
qualification_level Master's degree
author Wan Abd Malik, Wan Mohamad Khairudin
author_facet Wan Abd Malik, Wan Mohamad Khairudin
author_sort Wan Abd Malik, Wan Mohamad Khairudin
title Indirect field-oriented controlled of induction motor using fuzzy logic technique
title_short Indirect field-oriented controlled of induction motor using fuzzy logic technique
title_full Indirect field-oriented controlled of induction motor using fuzzy logic technique
title_fullStr Indirect field-oriented controlled of induction motor using fuzzy logic technique
title_full_unstemmed Indirect field-oriented controlled of induction motor using fuzzy logic technique
title_sort indirect field-oriented controlled of induction motor using fuzzy logic technique
granting_institution Universiti Putra Malaysia
publishDate 2012
url http://psasir.upm.edu.my/id/eprint/48462/1/FK%202012%20109R.pdf
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