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Improving the dynamic stiffness in a self-sensing BLDC machine drive using estimated load torque feedforward

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 load torque information is used for increasing the dynamic stiffness of the drive. The mathematical background is given and discussed and the simulations as well as the experimental results prove the performance of the proposed method.
Keywords
BRUSHLESS DC MOTOR, BACK-EMF, STARTING METHOD, IMPLEMENTATION, POSITION SENSORS, self-sensing control, estimation method, permanent-magnet brushless dc (BLDC) machine, Back electromagnetic force (back EMF) zero crossing, OBSERVER, PERFORMANCE, SPEED, ROTOR POSITION, VOLTAGE DIFFERENCE

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Citation

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Chicago
Darba, Araz, Pieter D’haese, Frederik De Belie, and Jan Melkebeek. 2015. “Improving the Dynamic Stiffness in a Self-sensing BLDC Machine Drive Using Estimated Load Torque Feedforward.” Ieee Transactions on Industry Applications 51 (4): 3101–3114.
APA
Darba, A., D’haese, P., De Belie, F., & Melkebeek, J. (2015). Improving the dynamic stiffness in a self-sensing BLDC machine drive using estimated load torque feedforward. IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 51(4), 3101–3114.
Vancouver
1.
Darba A, D’haese P, De Belie F, Melkebeek J. Improving the dynamic stiffness in a self-sensing BLDC machine drive using estimated load torque feedforward. IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS. 2015;51(4):3101–14.
MLA
Darba, Araz, Pieter D’haese, Frederik De Belie, et al. “Improving the Dynamic Stiffness in a Self-sensing BLDC Machine Drive Using Estimated Load Torque Feedforward.” IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS 51.4 (2015): 3101–3114. Print.
@article{5845527,
  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 load torque information is used for increasing the dynamic stiffness of the drive. The mathematical background is given and discussed and the simulations as well as the experimental results prove the performance of the proposed method.},
  author       = {Darba, Araz and D'haese, Pieter and De Belie, Frederik and Melkebeek, Jan},
  issn         = {0093-9994},
  journal      = {IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS},
  keywords     = {BRUSHLESS DC MOTOR,BACK-EMF,STARTING METHOD,IMPLEMENTATION,POSITION SENSORS,self-sensing control,estimation method,permanent-magnet brushless dc (BLDC) machine,Back electromagnetic force (back EMF) zero crossing,OBSERVER,PERFORMANCE,SPEED,ROTOR POSITION,VOLTAGE DIFFERENCE},
  language     = {eng},
  number       = {4},
  pages        = {3101--3114},
  title        = {Improving the dynamic stiffness in a self-sensing BLDC machine drive using estimated load torque feedforward},
  url          = {http://dx.doi.org/10.1109/TIA.2015.2399623},
  volume       = {51},
  year         = {2015},
}

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