ROTOR POSITION CONTROL OF BLDC MOTOR USING ANFIS CONTROLLER TRAINED BY PSO TECHNIQUE

Abstract

This paper develops a methodology of
Particle Swarm Optimization (PSO) based ANFIS
controller for position control of a brushless DC motor.
The PSO has been used for the selection of the training
inputs of the ANFIS in order to minimize the training
result error. In order to improve the system
performance and large amount of uncertainties present
in such systems, the PSO is used to regulate all the
parameters of ANFIS controller. The rotor position
control of BLDC motor is simulated using
MATLAB/Simulink Toolbox. The proposed technique is
more proficient in the part of improving the step
response characteristics as well as it is reducing the
steady-state error, settling time and maximum
overshoot.