Simulation of speed tracking for brushless DC motor using fuzzy logic controller
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...
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Format: | Thesis |
Language: | English English English |
Published: |
2013
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Subjects: | |
Online Access: | http://eprints.uthm.edu.my/6621/1/24p%20AFIFAH%20ALIR.pdf http://eprints.uthm.edu.my/6621/2/AFIFAH%20ALIR%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/6621/3/AFIFAH%20ALIR%20WATERMARK.pdf |
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Summary: | 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. |
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