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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.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

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. in 2018 IEEE 19th Workshop on Control and Modeling for Power Electronics, COMPEL 2018., 8460173, IEEE, IEEE Workshop on Control and Modeling for Power Electronics, Padova, Italy, 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. In 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. In 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 - Download

@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) - Download

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 -