Modeling and Control of Three Phase BLDC Motor using PID and Fuzzy Logic Controller

Abstract

Brushless DC (BLDC) motors are widely used for many industrial applications because of their high efficiency, high torque and low volume. ) motors are employed in fans called super fans, electric and hybrid vehicles, industrial automation as actuators for industrial robots, extruder drive motors and feed drives for Computer Numerical Control (CNC) machine tools and home appliances ) motors are employed in fans called super fans, electric and hybrid vehicles, industrial automation as actuators for industrial robots, extruder drive motors and feed drives for Computer Numerical Control (CNC) machine tools and home appliances The aim of this research is to develop a complete model of the BLDC motor and to design an optimal controller for its position control. Generally PID controller is used for many control problems because of its simple structure and easy implementation. However in practice, we often do not get the optimum performance with the conventionally tuned PID controllers. For this purpose, A BLDC drive consists of a six switch inverter and Hall Effect position sensors. The speed regulation of sensorless BLDC drive using four-switch three- phase inverter BLDC motor and fuzzy controller is proposed here compared the PID controller and Fuzzy logic controller. The modeling, control and simulation of the BLDC motor have been done using the software package MATLAB/SIMULINK.