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Abstract
In this paper, a current boundary based model predictive torque control is proposed to improve torque and flux control performance of permanent magnet synchronous motor (PMSM). To reduce torque and flux ripple, two voltage vectors are applied in one control period. Based on the current variations under the two vectors, torque is forced to reach a preset boundary at the end of a control period and can be limited to a band during the whole period. In addition, according to the predictive switching instants and the predictive current, some vector combinations can be excluded from the control set, which significantly reduces the computational burden of cost function evaluation. Simulation results reveal the effectiveness of the proposed strategy.
Keywords
RIPPLE REDUCTION, STATE, Permanent magnet synchronous motor, predictive control, torque and flux ripple, current boundary

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MLA
Ma, Chenwei, et al. “Current Boundary Based Model Predictive Torque Control of PMSM.” 2019 22nd International Conference on Electrical Machines and Systems (ICEMS), IEEE, 2019, doi:10.1109/ICEMS.2019.8922178.
APA
Ma, C., Yao, X., Li, H., & De Belie, F. (2019). Current boundary based model predictive torque control of PMSM. In 2019 22nd International Conference on Electrical Machines and Systems (ICEMS). Harbin, China: IEEE. https://doi.org/10.1109/ICEMS.2019.8922178
Chicago author-date
Ma, Chenwei, Xuliang Yao, Huayu Li, and Frederik De Belie. 2019. “Current Boundary Based Model Predictive Torque Control of PMSM.” In 2019 22nd International Conference on Electrical Machines and Systems (ICEMS). IEEE. https://doi.org/10.1109/ICEMS.2019.8922178.
Chicago author-date (all authors)
Ma, Chenwei, Xuliang Yao, Huayu Li, and Frederik De Belie. 2019. “Current Boundary Based Model Predictive Torque Control of PMSM.” In 2019 22nd International Conference on Electrical Machines and Systems (ICEMS). IEEE. doi:10.1109/ICEMS.2019.8922178.
Vancouver
1.
Ma C, Yao X, Li H, De Belie F. Current boundary based model predictive torque control of PMSM. In: 2019 22nd International Conference on Electrical Machines and Systems (ICEMS). IEEE; 2019.
IEEE
[1]
C. Ma, X. Yao, H. Li, and F. De Belie, “Current boundary based model predictive torque control of PMSM,” in 2019 22nd International Conference on Electrical Machines and Systems (ICEMS), Harbin, China, 2019.
@inproceedings{8623176,
  abstract     = {In this paper, a current boundary based model predictive torque control is proposed to improve torque and flux control performance of permanent magnet synchronous motor (PMSM). To reduce torque and flux ripple, two voltage vectors are applied in one control period. Based on the current variations under the two vectors, torque is forced to reach a preset boundary at the end of a control period and can be limited to a band during the whole period. In addition, according to the predictive switching instants and the predictive current, some vector combinations can be excluded from the control set, which significantly reduces the computational burden of cost function evaluation. Simulation results reveal the effectiveness of the proposed strategy.},
  author       = {Ma, Chenwei and Yao, Xuliang and Li, Huayu and De Belie, Frederik},
  booktitle    = {2019 22nd International Conference on Electrical Machines and Systems (ICEMS)},
  isbn         = {9781728133980},
  issn         = {2640-7841},
  keywords     = {RIPPLE REDUCTION,STATE,Permanent magnet synchronous motor,predictive control,torque and flux ripple,current boundary},
  language     = {eng},
  location     = {Harbin, China},
  pages        = {6},
  publisher    = {IEEE},
  title        = {Current boundary based model predictive torque control of PMSM},
  url          = {http://dx.doi.org/10.1109/ICEMS.2019.8922178},
  year         = {2019},
}

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