Simulation of speed tracking for brushless DC motor using fuzzy logic controller

Alir, Afifah (2013) Simulation of speed tracking for brushless DC motor using fuzzy logic controller. Masters thesis, Universiti Tun Hussein Malaysia.

[img]
Preview
Text
24p AFIFAH ALIR.pdf

Download (856kB) | Preview
[img] Text (Copyright Declaration)
AFIFAH ALIR COPYRIGHT DECLARATION.pdf
Restricted to Repository staff only

Download (1MB) | Request a copy
[img] Text (Full Text)
AFIFAH ALIR WATERMARK.pdf
Restricted to Registered users only

Download (2MB) | Request a copy

Abstract

Brushless DC motors are normally used in an automotive application, robotics, medical, industrial automation equipment and machine tools due to its advantages. The advantages are long life operation, easy to construct, noiseless operation and has a better speed performance. This project presents a simulation model for BLDC motor using MATLAB/Simulink. Usually, the speed control is achieved by using PI controller. Then, the dynamic response of the BLDC motor such as speed, torque as well as current and voltage are observed and been analyzed using the MATLAB model. It is quite hard and difficult to tune the conventional PI controller parameters. Therefore, a suitable speed controller is been developed by using MATLAB Fuzzy Logic tool box. The objectives of this project are to minimize the maximum overshoot (%OS), settling time (Ts) and also peak time (Tp). Besides, the purpose is to improve the speed performance of the motor drive system. In order to verify the effectiveness of the controller, both control algorithms (Fuzzy logic control and PID) are compared. The simulation results show that the FLC controller has better performance which has reduced and minimized the percentage of maximum overshoot, settling time, peak time and rise time compared with the used of conventional PI controller.

Item Type: Thesis (Masters)
Subjects: T Technology > TJ Mechanical engineering and machinery > TJ212-225 Control engineering systems. Automatic machinery (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK2000-2891 Dynamoelectric machinery and auxiliaries. Including generators, motors, transformers
Divisions: Faculty of Electrical and Electronic Engineering > Department of Electrical Engineering
Depositing User: Mrs. Sabarina Che Mat
Date Deposited: 10 Mar 2022 03:35
Last Modified: 10 Mar 2022 03:35
URI: http://eprints.uthm.edu.my/id/eprint/6621

Actions (login required)

View Item View Item