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Quantifying the commutation error of a BLDC machine using sensorless load angle estimation

Jasper De Viaene (UGent) , Florian Verbelen (UGent) , Michiel Haemers (UGent) , Stijn Derammelaere (UGent) and Kurt Stockman (UGent)
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Abstract
BLDC motors are often used for high speed applications, for example in pumps, ventilators and refrigerators. For commutation discrete position information is necessary. This feedback is often provided by Hall sensors instead of more expensive encoders. However, even small misalignment of the Hall sensors in low cost BLDC motors can lead to unwanted torque ripples or reduced performance of BLDC motors. This misplacement leads not only to noise and vibrations caused by the torque ripples but also to lower efficiency. In this paper, a self-sensing technique to assess the misalignment is introduced. The objective is to obtain knowledge of the quality of the commutation by quantifying the misalignment. The method used in this paper is based on the fundamental components of voltage and current measurements and only needs the available current and voltage signals and electrical parameters such as resistance and inductance to estimate the misalignment.
Keywords
Brushless DC motor, commutation, Hall sensors, load angle estimation, SDFT

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MLA
De Viaene, Jasper, et al. “Quantifying the Commutation Error of a BLDC Machine Using Sensorless Load Angle Estimation.” 2016 19TH INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS (ICEMS 2016), 2016.
APA
De Viaene, J., Verbelen, F., Haemers, M., Derammelaere, S., & Stockman, K. (2016). Quantifying the commutation error of a BLDC machine using sensorless load angle estimation. In 2016 19TH INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS (ICEMS 2016). Tokyo, Japan.
Chicago author-date
De Viaene, Jasper, Florian Verbelen, Michiel Haemers, Stijn Derammelaere, and Kurt Stockman. 2016. “Quantifying the Commutation Error of a BLDC Machine Using Sensorless Load Angle Estimation.” In 2016 19TH INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS (ICEMS 2016).
Chicago author-date (all authors)
De Viaene, Jasper, Florian Verbelen, Michiel Haemers, Stijn Derammelaere, and Kurt Stockman. 2016. “Quantifying the Commutation Error of a BLDC Machine Using Sensorless Load Angle Estimation.” In 2016 19TH INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS (ICEMS 2016).
Vancouver
1.
De Viaene J, Verbelen F, Haemers M, Derammelaere S, Stockman K. Quantifying the commutation error of a BLDC machine using sensorless load angle estimation. In: 2016 19TH INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS (ICEMS 2016). 2016.
IEEE
[1]
J. De Viaene, F. Verbelen, M. Haemers, S. Derammelaere, and K. Stockman, “Quantifying the commutation error of a BLDC machine using sensorless load angle estimation,” in 2016 19TH INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS (ICEMS 2016), Tokyo, Japan, 2016.
@inproceedings{8516695,
  abstract     = {BLDC motors are often used for high speed applications, for example in pumps, ventilators and refrigerators. For commutation discrete position information is necessary. This feedback is often provided by Hall sensors instead of more expensive encoders. However, even small misalignment of the Hall sensors in low cost BLDC motors can lead to unwanted torque ripples or reduced performance of BLDC motors. This misplacement leads not only to noise and vibrations caused by the torque ripples but also to lower efficiency. In this paper, a self-sensing technique to assess the misalignment is introduced. The objective is to obtain knowledge of the quality of the commutation by quantifying the misalignment. The method used in this paper is based on the fundamental components of voltage and current measurements and only needs the available current and voltage signals and electrical parameters such as resistance and inductance to estimate the misalignment.},
  author       = {De Viaene, Jasper and Verbelen, Florian and Haemers, Michiel and Derammelaere, Stijn and Stockman, Kurt},
  booktitle    = {2016 19TH INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS (ICEMS 2016)},
  isbn         = {978-4-88686-098-9},
  keywords     = {Brushless DC motor,commutation,Hall sensors,load angle estimation,SDFT},
  language     = {eng},
  location     = {Tokyo, Japan},
  pages        = {6},
  title        = {Quantifying the commutation error of a BLDC machine using sensorless load angle estimation},
  url          = {http://ieeexplore.ieee.org/document/7837437/},
  year         = {2016},
}

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