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Improved dynamic behaviour in BLDC drives using model predictive speed and current control

Araz Darba (UGent) , Frederik De Belie (UGent) , Pieter D'haese and Jan Melkebeek (UGent)
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Abstract
Model-based predictive control is a powerful control strategy to drive electrical machines. Conventional cascade proportional-integral (derivative) [PI(D)] controllers are often used to control speed, torque, and current. However, for low-inertia machines, achieving a high-performance and wide speed range is far beyond the application conditions for which these controllers are designed for. Using two cascaded PI(D) controllers for the speed/current control of a low-inertia machine, changes in the speed set point should be slowly applied in order to avoid stability problems. In this paper, a model predictive control algorithm that is able to control the speed of a low-inertia brushless direct-current machine with a high bandwidth and good disturbance rejection properties is proposed. The algorithm is implemented on a SPARTAN 3E 1600 field-programmable gate-array board, and experimental results verify the performance of the proposed algorithm.
Keywords
Dynamic stiffness, PI-PWM, field-programmable gate arrays (FPGAs), FCS-MPC, DIRECT TORQUE CONTROL, 5-PHASE INDUCTION-MOTOR, model predictive control (MPC), permanent-magnet brushless dc (BLDC) machine, speed control

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

MLA
Darba, Araz et al. “Improved Dynamic Behaviour in BLDC Drives Using Model Predictive Speed and Current Control.” IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 63.2 (2016): 728–740. Print.
APA
Darba, A., De Belie, F., D’haese, P., & Melkebeek, J. (2016). Improved dynamic behaviour in BLDC drives using model predictive speed and current control. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 63(2), 728–740.
Chicago author-date
Darba, Araz, Frederik De Belie, Pieter D’haese, and Jan Melkebeek. 2016. “Improved Dynamic Behaviour in BLDC Drives Using Model Predictive Speed and Current Control.” Ieee Transactions on Industrial Electronics 63 (2): 728–740.
Chicago author-date (all authors)
Darba, Araz, Frederik De Belie, Pieter D’haese, and Jan Melkebeek. 2016. “Improved Dynamic Behaviour in BLDC Drives Using Model Predictive Speed and Current Control.” Ieee Transactions on Industrial Electronics 63 (2): 728–740.
Vancouver
1.
Darba A, De Belie F, D’haese P, Melkebeek J. Improved dynamic behaviour in BLDC drives using model predictive speed and current control. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS. IEEE; 2016;63(2):728–40.
IEEE
[1]
A. Darba, F. De Belie, P. D’haese, and J. Melkebeek, “Improved dynamic behaviour in BLDC drives using model predictive speed and current control,” IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, vol. 63, no. 2, pp. 728–740, 2016.
@article{6922549,
  abstract     = {Model-based predictive control is a powerful control strategy to drive electrical machines. Conventional cascade proportional-integral (derivative) [PI(D)] controllers are often used to control speed, torque, and current. However, for low-inertia machines, achieving a high-performance and wide speed range is far beyond the application conditions for which these controllers are designed for. Using two cascaded PI(D) controllers for the speed/current control of a low-inertia machine, changes in the speed set point should be slowly applied in order to avoid stability problems. In this paper, a model predictive control algorithm that is able to control the speed of a low-inertia brushless direct-current machine with a high bandwidth and good disturbance rejection properties is proposed. The algorithm is implemented on a SPARTAN 3E 1600 field-programmable gate-array board, and experimental results verify the performance of the proposed algorithm.},
  author       = {Darba, Araz and De Belie, Frederik and D'haese, Pieter and Melkebeek, Jan},
  issn         = {0278-0046},
  journal      = {IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS},
  keywords     = {Dynamic stiffness,PI-PWM,field-programmable gate arrays (FPGAs),FCS-MPC,DIRECT TORQUE CONTROL,5-PHASE INDUCTION-MOTOR,model predictive control (MPC),permanent-magnet brushless dc (BLDC) machine,speed control},
  language     = {eng},
  number       = {2},
  pages        = {728--740},
  publisher    = {IEEE},
  title        = {Improved dynamic behaviour in BLDC drives using model predictive speed and current control},
  url          = {http://dx.doi.org/10.1109/TIE.2015.2477262},
  volume       = {63},
  year         = {2016},
}

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