Abstract
This paper introduce the sensorless control of brushless dc motor based on self tuning PID adaptive neuro fuzzy controller is analyzed. The proposed control is to be introduces for reducing sensor cost, computation burden and improving speed torque performance for variable load conditions. Phase current and Speed rating is required for controlling motor speed torque performance. So speed estimation algorithm is introduces to finding rotating speed of machine without sensor methods after that speed control and estimation of speed is implemented using back emf methodand the torque estimation is based on PI controller. The estimated speed and torque is used for self PID tuning based adaptive fuzzy in space vector pulse width modulation. The speed and stator current of brushless DC motor is controlled and computed by using MATLAB/Simulink platform.
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