Simulation Approach to Speed Control of PMBLDC Motor using Various Control Techniques

Conventional Brushless DC Motor (BLDCM) has been widely used in industries because of its properties such as high efficiency, reliability, high starting torque, less electrical noise and high weight to torque ratio. In order to control the speed of BLDCM, a number of controllers are used. Controllers like PI and PID don't have better results. They need to more time to settle down. Although Adaptive Fuzzy controller gives better results than PI, PID controllers, but when compared to fuzzy PID they gives less performance. So, here using fuzzy PID controller for speed controller of BLDC Machine. As simulation results gives that fuzzy PID controller has better control performance than the PI, PID and Adaptive fuzzy controller. The modeling and simulation of BLDC motor have been done using the software package MATLAB/SIMULINK.