ANALYSIS OF BLDC MOTOR NATURE USING DIFFERENT CONTROLLER

Tushar S. Khodke; Prof. Y. P. Sushir; Mr. A. M. Vibhute

doi:10.17605/OSF.IO/9KFE4

Authors

Tushar S. Khodke M. E. Electrical Engineering(E&P), Padm. Dr. V. B. Kolte College of Engineering, Malkapur, Maharashtra, India
Prof. Y. P. Sushir M. E. Electrical Engineering(E&P), Padm. Dr. V. B. Kolte College of Engineering, Malkapur, Maharashtra, India
Mr. A. M. Vibhute LME, G.P. Miraj / DTE Mumbai, India

DOI:

https://doi.org/10.17605/OSF.IO/9KFE4

Keywords:

BLDC Motor, PID Controller, Fuzzy Logic Controller (FLC), Particle Swarm Optimization (PSO), Trapezoidal Commutation, PI Fuzzy Controller.

Abstract

Brushless Direct Current (BLDC) motors, also known as permanent magnet motors find wide applications in many industries due to their higher performance, reliability and ease of control. A new generation of microcontrollers and advanced electronics has overcome the challenge of implementing required control factions, making BLDC motor more practical for a wide range of uses. The main objective of this paper is controlling speed of BLDC motor and displays its speed. The speed control of the BLDC motors is very essential. This proposed system provides a very precise and effective speed control system. The user can increase or decrease the speed as per the requirement and the motor will run at that exact speed. In this paper, we focus on the simulink modeling of BLDC using MATLAB/SIMULINK.

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