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Online impedance estimation for sensorless BLDC motor motion applications

Book Contribution - Book Chapter Conference Contribution

Hall sensors embedded in Brushless DC system enable electronic commutation. However, even small misalignment of the Hall sensors can lead to unwanted torque ripples or reduced performance. Sensorless back-EMF feedback algorithms based on the stator winding dynamics seem a promising alternative for the Hall sensors. However, what remains to be done to arrive at an implementable solution is to assess the electrical parameters, i.e. resistance and inductance, as these parameters vary with the motor conditions and cannot be assumed constant. Therefore in this paper, an impedance estimator is presented. An disconnected approach is proposed, whereby the back-EMF estimation is seen separately from the real-time identification of stator impedance. Through this, the accuracy of the back-EMF estimator depends on the accuracy of the resistance and inductance estimator and not vice versa. The proposed estimation algorithm is validated through experimental measurements on a 225 W BLDC.
Book: 2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)
Number of pages: 1
ISBN:9781665412629
Publication year:2021
Accessibility:Closed