Modeling and PID control of the brushless DC motor with the help of Genetic Algorithm

Brushless DC (BLDC) motors are widely used for many industrial applications because of their high efficiency, high torque and low volume. 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, Genetic Algorithm is proposed as a global optimizer to find the optimized PID gains for position control of BLDC motor. The efficiency of this method is compared with that of traditional method. Simulation results showed that PID control tuned by GA provides more efficient closed loop response for position control of BLDC motor. The modeling, control and simulation of the BLDC motor have been done using the software package MATLAB/SIMULINK.