Development of position tracking of BLDC motor using adaptive fuzzy logic controller

TLDR: In this article, a brushless DC motor has many advantages including simple to construct, high torque capability, small inertia, low noise and long life operation, however, it is a non-linear system whose internal parameter values will change slightly with different input commands and environments.

Abstract: The brushless DC (BLDC) motor has many advantages including simple to construct, high torque capability, small inertia, low noise and long life operation. Unfortunately, it is a non-linear system whose internal parameter values will change slightly with different input commands and environments. In this proposed controller, Takagi-Sugeno-Kang method is developed. In this project, a FLC for position tracking and BLDC motor are modeled and simulated in MATLAB/SIMULINK. In order to verify the performance of the proposed controller, various position tracking reference are tested. The simulation results show that the proposed FLC has better performance compare the conventional PID controller.