Intelligent controllers for Permanent Magnet Brushless DC motor

Abstract

Permanent Magnet Brushless DC (PMBLDC) machines are more popular due its simple structure and low cost. Improvements in permanent magnetic materials and power electronic devices have resulted in reliable, cost effective PMBLDC drives, for many applications. The modelling, simulation and closed loop control of a PMBLDC machine are considered in this work. The simulated models are subjected to load disturbances and supply voltage variation. The hardware implementation of the open-loop control using IC MC 33035 is described. In addition to the conventional PI controller, intelligent controllers based on fuzzy, neuro and neuro-fuzzy techniques have been designed using the d-q model of the PMBLDC motor. Simulations of these controllers were carried out using MATLAB / SIMULINK. Closed loop implementation is carried out using PI controller and it is observed that the controller is very effective during direction reversal, braking, starting and stopping.