AI-based sensorless speed estimation of 3-phase BLDC motor

Abstract

This paper describes a signal-based speed estimation of 3-Phase Brushless Direct Current (BLDC) motor using the relationship between commutation signal and Back Electromotive Force (Back-EMF). Both signals can directly be measured from each phase of motor's terminal. The relationship function between both signals is approximated and filtered to find Haft of phase voltage-Crossing Point and using Artificial Intelligence find coefficient of function and filter's parameters of each speed.