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Operating point dependent variable switching point predictive current control for PMSM drives

Tutkimustuotosvertaisarvioitu

Standard

Operating point dependent variable switching point predictive current control for PMSM drives. / Wendel, Sebastian; Karamanakos, Petros; Dietz, Armin; Kennel, Ralph.

PRECEDE 2019: 2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics. IEEE, 2019. s. 1-6.

Tutkimustuotosvertaisarvioitu

Harvard

Wendel, S, Karamanakos, P, Dietz, A & Kennel, R 2019, Operating point dependent variable switching point predictive current control for PMSM drives. julkaisussa PRECEDE 2019: 2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics. IEEE, Sivut 1-6, Quanzhou, Kiina, 31/05/19. https://doi.org/10.1109/PRECEDE.2019.8753362

APA

Wendel, S., Karamanakos, P., Dietz, A., & Kennel, R. (2019). Operating point dependent variable switching point predictive current control for PMSM drives. teoksessa PRECEDE 2019: 2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (Sivut 1-6). IEEE. https://doi.org/10.1109/PRECEDE.2019.8753362

Vancouver

Wendel S, Karamanakos P, Dietz A, Kennel R. Operating point dependent variable switching point predictive current control for PMSM drives. julkaisussa PRECEDE 2019: 2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics. IEEE. 2019. s. 1-6 https://doi.org/10.1109/PRECEDE.2019.8753362

Author

Wendel, Sebastian ; Karamanakos, Petros ; Dietz, Armin ; Kennel, Ralph. / Operating point dependent variable switching point predictive current control for PMSM drives. PRECEDE 2019: 2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics. IEEE, 2019. Sivut 1-6

Bibtex - Lataa

@inproceedings{804e49c60ef54b5aacb3c1223c255ed5,
title = "Operating point dependent variable switching point predictive current control for PMSM drives",
abstract = "This contribution presents a direct model predictive current control approach that achieves favorable performance during transients while minimizing the torque and current ripples at steady-state operation by increasing the granularity at which switching can be performed. To meet the control goals, an optimization problem is solved in real-time that decides whether only one discrete voltage space vector or a combination of two is selected. In the latter case, a variable switching point, i.e., a time instant within the control interval at which the converter switches change state, is computed. The proposed method is advantageous, e.g., for electric drives in machine tools, in which, depending on the operating point, fast dynamics and a low torque ripple are important. The approach is evaluated at the example of a two-level voltage source inverter driving a permanent magnet synchronous machine.",
keywords = "Direct model predictive control (DMPC), Finite control set model predictive control (FCS-MPC), SoC FPGA, Variable switching point predictive current control (VSP2CC)",
author = "Sebastian Wendel and Petros Karamanakos and Armin Dietz and Ralph Kennel",
year = "2019",
month = "5",
day = "1",
doi = "10.1109/PRECEDE.2019.8753362",
language = "English",
pages = "1--6",
booktitle = "PRECEDE 2019",
publisher = "IEEE",

}

RIS (suitable for import to EndNote) - Lataa

TY - GEN

T1 - Operating point dependent variable switching point predictive current control for PMSM drives

AU - Wendel, Sebastian

AU - Karamanakos, Petros

AU - Dietz, Armin

AU - Kennel, Ralph

PY - 2019/5/1

Y1 - 2019/5/1

N2 - This contribution presents a direct model predictive current control approach that achieves favorable performance during transients while minimizing the torque and current ripples at steady-state operation by increasing the granularity at which switching can be performed. To meet the control goals, an optimization problem is solved in real-time that decides whether only one discrete voltage space vector or a combination of two is selected. In the latter case, a variable switching point, i.e., a time instant within the control interval at which the converter switches change state, is computed. The proposed method is advantageous, e.g., for electric drives in machine tools, in which, depending on the operating point, fast dynamics and a low torque ripple are important. The approach is evaluated at the example of a two-level voltage source inverter driving a permanent magnet synchronous machine.

AB - This contribution presents a direct model predictive current control approach that achieves favorable performance during transients while minimizing the torque and current ripples at steady-state operation by increasing the granularity at which switching can be performed. To meet the control goals, an optimization problem is solved in real-time that decides whether only one discrete voltage space vector or a combination of two is selected. In the latter case, a variable switching point, i.e., a time instant within the control interval at which the converter switches change state, is computed. The proposed method is advantageous, e.g., for electric drives in machine tools, in which, depending on the operating point, fast dynamics and a low torque ripple are important. The approach is evaluated at the example of a two-level voltage source inverter driving a permanent magnet synchronous machine.

KW - Direct model predictive control (DMPC)

KW - Finite control set model predictive control (FCS-MPC)

KW - SoC FPGA

KW - Variable switching point predictive current control (VSP2CC)

U2 - 10.1109/PRECEDE.2019.8753362

DO - 10.1109/PRECEDE.2019.8753362

M3 - Conference contribution

SP - 1

EP - 6

BT - PRECEDE 2019

PB - IEEE

ER -