TY - GEN
T1 - Flux Linkage-Based Model Predictive Current Control for Nonlinear PMSM Drives
AU - Wendel, Sebastian
AU - Karamanakos, Petros
AU - Dietz, Armin
AU - Kennel, Ralph
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/10/18
Y1 - 2020/10/18
N2 - In this paper, a flux linkage-based direct model predictive current control approach is presented for small permanent magnet synchronous motor (PMSM) drives. The method aims to minimize the current ripples at steady state by deciding on the optimal switching instant, while exhibiting fast dynamic behavior during transients. To this end, the future trajectory of the stator current is not computed based on the machine inductances or inductance look-up tables, but on the changes of the magnetic flux linkage by utilizing flux linkage maps. As shown, the proposed method can be particularly advantageous for electric drives with a noticeable nonlinearity in terms of saturation and/or cross-coupling effects since it allows for a significantly increased prediction accuracy, which leads to an improved steady-state performance as indicated by the reduced current distortions.
AB - In this paper, a flux linkage-based direct model predictive current control approach is presented for small permanent magnet synchronous motor (PMSM) drives. The method aims to minimize the current ripples at steady state by deciding on the optimal switching instant, while exhibiting fast dynamic behavior during transients. To this end, the future trajectory of the stator current is not computed based on the machine inductances or inductance look-up tables, but on the changes of the magnetic flux linkage by utilizing flux linkage maps. As shown, the proposed method can be particularly advantageous for electric drives with a noticeable nonlinearity in terms of saturation and/or cross-coupling effects since it allows for a significantly increased prediction accuracy, which leads to an improved steady-state performance as indicated by the reduced current distortions.
UR - http://www.scopus.com/inward/record.url?scp=85097732211&partnerID=8YFLogxK
U2 - 10.1109/IECON43393.2020.9254484
DO - 10.1109/IECON43393.2020.9254484
M3 - Conference contribution
AN - SCOPUS:85097732211
T3 - IECON Proceedings (Industrial Electronics Conference)
SP - 3051
EP - 3056
BT - Proceedings - IECON 2020
PB - IEEE Computer Society
T2 - 46th Annual Conference of the IEEE Industrial Electronics Society, IECON 2020
Y2 - 19 October 2020 through 21 October 2020
ER -