PROJECT TITLE :

Sensor less Speed Control for Brushless DC Motors

ABSTRACT:

For the speed management of Brushless DC Motors, this study provides a fuzzy controlled integrated speed - Sensorless technique (BLDCM). This speed sensorless technique proposes a speed sensorless algorithm by using a load observer to estimate the disturbed load torque. The mechanical rotor inertia constant and the friction coefficient are determined using the recursive least-square rule for the load observer. As a result, this method is unaffected by changes in motor parameters or the integrated drift problem. When estimating speed, the suggested approach is simpler than the extended Kalman filter. The fuzzy controller, modified model reference adaptive control, and PI controller are compared. The fuzzy controller outperforms the other two controllers, according to the results. MATLAB/Simulink is used to model the suggested method.