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Rotor speed, position and load torque estimation using back-emf sampling for self-sensing brushless DC machine drives

Araz Darba (UGent) , Pieter D'haese, Frederik De Belie (UGent) and Jan Melkebeek (UGent)
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Abstract
This paper presents a load torque estimation method for self-sensing brushless DC drives. Torque ripples in brushless DC machines can be reduced using load torque information. This method uses the terminal voltage, the virtual neutral point voltage and the DC-bus current of the machine. The algorithm uses the variation of successive back-emf samples to estimate the rotor speed. The rotor position is estimated by defining an intermediate function of estimated speed and back-emf samples. An estimate of acceleration is used to estimate load torque. The mathematical background is given and discussed and the simulation results prove the performance of the proposed method.
Keywords
MOTOR DRIVE, VOLTAGE DIFFERENCE, SENSORLESS, Permanent-magnet brushless DC-machine (BLDC-machine), back-EMF zero-crossing, self-sensing control, estimation method

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Please use this url to cite or link to this publication:

Chicago
Darba, Araz, Pieter D’haese, Frederik De Belie, and Jan Melkebeek. 2014. “Rotor Speed, Position and Load Torque Estimation Using Back-emf Sampling for Self-sensing Brushless DC Machine Drives.” In 2014 IEEE 5TH INTERNATIONAL SYMPOSIUM ON SENSORLESS CONTROL FOR ELECTRICAL DRIVES (SLED 2014), 1–7. IEEE.
APA
Darba, A., D’haese, P., De Belie, F., & Melkebeek, J. (2014). Rotor speed, position and load torque estimation using back-emf sampling for self-sensing brushless DC machine drives. 2014 IEEE 5TH INTERNATIONAL SYMPOSIUM ON SENSORLESS CONTROL FOR ELECTRICAL DRIVES (SLED 2014) (pp. 1–7). Presented at the IEEE 5th International Symposium on Sensorless Control for Electrical Drives (SLED), IEEE.
Vancouver
1.
Darba A, D’haese P, De Belie F, Melkebeek J. Rotor speed, position and load torque estimation using back-emf sampling for self-sensing brushless DC machine drives. 2014 IEEE 5TH INTERNATIONAL SYMPOSIUM ON SENSORLESS CONTROL FOR ELECTRICAL DRIVES (SLED 2014). IEEE; 2014. p. 1–7.
MLA
Darba, Araz, Pieter D’haese, Frederik De Belie, et al. “Rotor Speed, Position and Load Torque Estimation Using Back-emf Sampling for Self-sensing Brushless DC Machine Drives.” 2014 IEEE 5TH INTERNATIONAL SYMPOSIUM ON SENSORLESS CONTROL FOR ELECTRICAL DRIVES (SLED 2014). IEEE, 2014. 1–7. Print.
@inproceedings{5845520,
  abstract     = {This paper presents a load torque estimation method for self-sensing brushless DC drives. Torque ripples in brushless DC machines can be reduced using load torque information. This method uses the terminal voltage, the virtual neutral point voltage and the DC-bus current of the machine. The algorithm uses the variation of successive back-emf samples to estimate the rotor speed. The rotor position is estimated by defining an intermediate function of estimated speed and back-emf samples. An estimate of acceleration is used to estimate load torque. The mathematical background is given and discussed and the simulation results prove the performance of the proposed method.},
  author       = {Darba, Araz and D'haese, Pieter and De Belie, Frederik and Melkebeek, Jan},
  booktitle    = {2014 IEEE 5TH INTERNATIONAL SYMPOSIUM ON SENSORLESS CONTROL FOR ELECTRICAL DRIVES (SLED 2014)},
  isbn         = {978-1-4799-5784-2},
  keywords     = {MOTOR DRIVE,VOLTAGE DIFFERENCE,SENSORLESS,Permanent-magnet brushless DC-machine (BLDC-machine),back-EMF zero-crossing,self-sensing control,estimation method},
  language     = {eng},
  location     = {Hiroshima, Japan},
  pages        = {1--7},
  publisher    = {IEEE},
  title        = {Rotor speed, position and load torque estimation using back-emf sampling for self-sensing brushless DC machine drives},
  url          = {http://dx.doi.org/10.1109/SLED.2014.6844968},
  year         = {2014},
}

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