TY - GEN
T1 - An Efficient Model Predictive Control Strategy for Five-Phase Permanent Magnet Synchronous Motor Based on Discrete Control Set
AU - Ruan, Pengbo
AU - Liao, Xiaozhong
AU - Chen, Zhen
AU - Chen, Chao
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - In the conventional model predictive control (MPC) schemes, the single voltage vector is widely utilized within a switching cycle, resulting in the significant current ripples. In this paper, a discrete control set (DCS) is introduced into the MPC scheme for the five-phase permanent magnet synchronous motor (PMSM) by the virtual-voltage-vector (V3) principle. The proposed modified MPC scheme expands the range of selectable voltage vectors, reducing the current ripple significantly. Furthermore, an optimization voltage vector selection strategy is proposed based on dichotomy, which can improve the computing efficiency effectively. The proposed method has been verified by the simulation and experiment.
AB - In the conventional model predictive control (MPC) schemes, the single voltage vector is widely utilized within a switching cycle, resulting in the significant current ripples. In this paper, a discrete control set (DCS) is introduced into the MPC scheme for the five-phase permanent magnet synchronous motor (PMSM) by the virtual-voltage-vector (V3) principle. The proposed modified MPC scheme expands the range of selectable voltage vectors, reducing the current ripple significantly. Furthermore, an optimization voltage vector selection strategy is proposed based on dichotomy, which can improve the computing efficiency effectively. The proposed method has been verified by the simulation and experiment.
KW - current ripple
KW - dichotomy
KW - discrete control set
KW - five-phase permanent magnet synchronous motor
KW - model predictive control
UR - http://www.scopus.com/inward/record.url?scp=85182340527&partnerID=8YFLogxK
U2 - 10.1109/ICEMS59686.2023.10345335
DO - 10.1109/ICEMS59686.2023.10345335
M3 - Conference contribution
AN - SCOPUS:85182340527
T3 - 2023 26th International Conference on Electrical Machines and Systems, ICEMS 2023
SP - 2016
EP - 2021
BT - 2023 26th International Conference on Electrical Machines and Systems, ICEMS 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 26th International Conference on Electrical Machines and Systems, ICEMS 2023
Y2 - 5 November 2023 through 8 November 2023
ER -