Performance Analysis of BLDC Motor Drive Using Various Speed Controller

Abstract

DC motors with brushless technology are permanent magnet synchronous motors with trapezoidal back electromotive forces. High torque, minimal losses, and high performance make BLDC motors a popular choice in industries, but BLDC motor has some limitations such as current ripples, low control accuracy, and torque ripples. By using conventional PI, PID, and fuzzy logic controller, these problems can be overcome. This paper presents the mathematical modeling and implementation of different types of speed controllers for speed control of BLDC motor drive. The controllers used in this paper are traditional controllers along with fuzzy logic controller. Normal PID controllers are difficult to tune and achieve satisfied control characteristics. Fuzzy logic controllers have the ability to achieve and maintain satisfactory control characteristics. The speed of the BLDC motor is analyzed and compared at variable speed under various controlling strategies using MATLAB/Simulink. Two different controllers are used to analyze and compare the dynamic performance of brushless DC motor drive regarding constant torque operation at different speed.