Use this resource - and many more! - in your textbook!
AcademicPub holds over eight million pieces of educational content for you to mix-and-match your way.

AI-based sensorless speed estimation of 3-phase BLDC motor
By: Srikaew, A.; Srisertpol, J.; Jawayon, P.;
2010 / IEEE / 978-1-4244-6337-4
Description
This item was taken from the IEEE Conference ' AI-based sensorless speed estimation of 3-phase BLDC motor ' 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.