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Fuzzy Logic Speed Control For Induction Motor Drives

Abdul Qadir, Osama (2018) Fuzzy Logic Speed Control For Induction Motor Drives. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

In recent years,the application of high performance Induction Motor Drives has become a great attention of motor drive player.The demand of robustness controller is necessary to meet satisfactory performance cover various speed demand and other variation such as parameters and load.The conventional controllers of motor drive such PI controller can’t handle non-linearity of the drive as well as sensitive to parameters change.In this project fuzzy logic controller FLC is utilized to drive the induction motor to enhance the speed performance of the motor.The FLC is robust controller that can handle non-linearity of the motor parameters unlike the conventional controllers.The principle of fuzzy logic is to drive the IM system based on the speed error produced in which the fuzzy membership function is designed to effectively reduce the error as much as possible in order to produce optimum performance.The IM model was designed using Matlab/Simulink environment.Three different rules selection of fuzzy logic controller were considered which are 9,25 and 49 rules.The drive performance was investigated without load disturbance and under load disturbance.The settling time rise rime and percent overshoot of the speed response in forward and reverse operation was analyzed a compared in order to validate the performance of the fuzzy logic controller.Therefore, the objective of this project was successfully achieved by designing Fuzzy logic speed controller based induction motor drive system.

Item Type: Final Year Project (Project Report)
Uncontrolled Keywords: Intelligent control systems, Fuzzy systems, Induction Motor Drives
Subjects: T Technology > T Technology (General)
T Technology > TJ Mechanical engineering and machinery
Divisions: Library > Final Year Project > FKE
Depositing User: Mohd. Nazir Taib
Date Deposited: 21 Mar 2022 08:08
Last Modified: 21 Mar 2022 08:08
URI: http://digitalcollection.utem.edu.my/id/eprint/24172

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