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Constrained Long-Horizon Direct Model Predictive Control for Synchronous Reluctance Motor Drives

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Constrained Long-Horizon Direct Model Predictive Control for Synchronous Reluctance Motor Drives. / Ortombina, L.; Liegmann, E.; Karamanakos, P.; Tinazzi, F.; Zigliotto, M.; Kennel, R.

2018 IEEE 19th Workshop on Control and Modeling for Power Electronics, COMPEL 2018. IEEE, 2018. 8460173.

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Harvard

Ortombina, L, Liegmann, E, Karamanakos, P, Tinazzi, F, Zigliotto, M & Kennel, R 2018, Constrained Long-Horizon Direct Model Predictive Control for Synchronous Reluctance Motor Drives. julkaisussa 2018 IEEE 19th Workshop on Control and Modeling for Power Electronics, COMPEL 2018., 8460173, IEEE, Padova, Italia, 25/06/18. https://doi.org/10.1109/COMPEL.2018.8460173

APA

Ortombina, L., Liegmann, E., Karamanakos, P., Tinazzi, F., Zigliotto, M., & Kennel, R. (2018). Constrained Long-Horizon Direct Model Predictive Control for Synchronous Reluctance Motor Drives. teoksessa 2018 IEEE 19th Workshop on Control and Modeling for Power Electronics, COMPEL 2018 [8460173] IEEE. https://doi.org/10.1109/COMPEL.2018.8460173

Vancouver

Ortombina L, Liegmann E, Karamanakos P, Tinazzi F, Zigliotto M, Kennel R. Constrained Long-Horizon Direct Model Predictive Control for Synchronous Reluctance Motor Drives. julkaisussa 2018 IEEE 19th Workshop on Control and Modeling for Power Electronics, COMPEL 2018. IEEE. 2018. 8460173 https://doi.org/10.1109/COMPEL.2018.8460173

Author

Ortombina, L. ; Liegmann, E. ; Karamanakos, P. ; Tinazzi, F. ; Zigliotto, M. ; Kennel, R. / Constrained Long-Horizon Direct Model Predictive Control for Synchronous Reluctance Motor Drives. 2018 IEEE 19th Workshop on Control and Modeling for Power Electronics, COMPEL 2018. IEEE, 2018.

Bibtex - Lataa

@inproceedings{5d0db8e4327f4791bd1509a68a3ea474,
title = "Constrained Long-Horizon Direct Model Predictive Control for Synchronous Reluctance Motor Drives",
abstract = "A finite control set model predictive control strategy for the control of the stator currents of a synchronous reluctance motor driven by a three-level neutral point clamped inverter is presented in this paper. The presented algorithm minimizes the stator current distortions while operating the drive system at switching frequencies of a few hundred Hertz. Moreover, the power electronic converter is protected by overcurrents and/or overvoltages owing to a hard constraint imposed on the stator currents. To efficiently solve the underlying integer nonlinear optimization problem a sphere decoding algorithm serves as optimizer. To this end, a numerical calculation of the unconstrained solution of the optimization problem is proposed, along with modifications in the algorithm proposed in [1] so as to meet the above-mentioned control objectives. Simulation results show the effectiveness of the proposed control algorithm.",
author = "L. Ortombina and E. Liegmann and P. Karamanakos and F. Tinazzi and M. Zigliotto and R. Kennel",
note = "JUFOID=79370",
year = "2018",
month = "9",
day = "10",
doi = "10.1109/COMPEL.2018.8460173",
language = "English",
isbn = "9781538655412",
booktitle = "2018 IEEE 19th Workshop on Control and Modeling for Power Electronics, COMPEL 2018",
publisher = "IEEE",

}

RIS (suitable for import to EndNote) - Lataa

TY - GEN

T1 - Constrained Long-Horizon Direct Model Predictive Control for Synchronous Reluctance Motor Drives

AU - Ortombina, L.

AU - Liegmann, E.

AU - Karamanakos, P.

AU - Tinazzi, F.

AU - Zigliotto, M.

AU - Kennel, R.

N1 - JUFOID=79370

PY - 2018/9/10

Y1 - 2018/9/10

N2 - A finite control set model predictive control strategy for the control of the stator currents of a synchronous reluctance motor driven by a three-level neutral point clamped inverter is presented in this paper. The presented algorithm minimizes the stator current distortions while operating the drive system at switching frequencies of a few hundred Hertz. Moreover, the power electronic converter is protected by overcurrents and/or overvoltages owing to a hard constraint imposed on the stator currents. To efficiently solve the underlying integer nonlinear optimization problem a sphere decoding algorithm serves as optimizer. To this end, a numerical calculation of the unconstrained solution of the optimization problem is proposed, along with modifications in the algorithm proposed in [1] so as to meet the above-mentioned control objectives. Simulation results show the effectiveness of the proposed control algorithm.

AB - A finite control set model predictive control strategy for the control of the stator currents of a synchronous reluctance motor driven by a three-level neutral point clamped inverter is presented in this paper. The presented algorithm minimizes the stator current distortions while operating the drive system at switching frequencies of a few hundred Hertz. Moreover, the power electronic converter is protected by overcurrents and/or overvoltages owing to a hard constraint imposed on the stator currents. To efficiently solve the underlying integer nonlinear optimization problem a sphere decoding algorithm serves as optimizer. To this end, a numerical calculation of the unconstrained solution of the optimization problem is proposed, along with modifications in the algorithm proposed in [1] so as to meet the above-mentioned control objectives. Simulation results show the effectiveness of the proposed control algorithm.

U2 - 10.1109/COMPEL.2018.8460173

DO - 10.1109/COMPEL.2018.8460173

M3 - Conference contribution

SN - 9781538655412

BT - 2018 IEEE 19th Workshop on Control and Modeling for Power Electronics, COMPEL 2018

PB - IEEE

ER -