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

• Main Author: Alir, Afifah
• Format: Thesis
• Language: English; English; English
• Published: 2013
• Subjects: TJ212-225 Control engineering systems. Automatic machinery (General); TK2000-2891 Dynamoelectric machinery and auxiliaries. Including generators, motors, transformers
• 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; http://eprints.uthm.edu.my/6621/

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.