TY - GEN
T1 - An improved predictive current control for PMLSM considering parameter variation
AU - Wang, Mingyi
AU - Li, Liyi
AU - Pan, Donghua
AU - Zhang, Chengming
AU - Guo, Qingbo
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2016/1/18
Y1 - 2016/1/18
N2 - For the model-based control strategy, the predictive current control (PCC) requires the full knowledge of the motor parameters, which reduces the system robustness. This paper presents an optimal PCC for the permanent magnet linear synchronous motor (PMLSM). Through the information of first two switching periods, the parameter variation issue can be eliminated without impacting the performance of the current loop. The simulation and experimental results are shown to prove the correctness and effectiveness of the proposed scheme.
AB - For the model-based control strategy, the predictive current control (PCC) requires the full knowledge of the motor parameters, which reduces the system robustness. This paper presents an optimal PCC for the permanent magnet linear synchronous motor (PMLSM). Through the information of first two switching periods, the parameter variation issue can be eliminated without impacting the performance of the current loop. The simulation and experimental results are shown to prove the correctness and effectiveness of the proposed scheme.
UR - https://www.scopus.com/pages/publications/84966593257
U2 - 10.1109/ICEMS.2015.7385143
DO - 10.1109/ICEMS.2015.7385143
M3 - 会议稿件
AN - SCOPUS:84966593257
T3 - 2015 18th International Conference on Electrical Machines and Systems, ICEMS 2015
SP - 801
EP - 804
BT - 2015 18th International Conference on Electrical Machines and Systems, ICEMS 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 18th International Conference on Electrical Machines and Systems, ICEMS 2015
Y2 - 25 October 2015 through 28 October 2015
ER -