TY - JOUR
T1 - Optimal control solutions for PMSM drives
T2 - A comparison study with experimental assessments
AU - Cai, Xinbo
AU - Zhang, Zhenbin
AU - Wang, Junxiao
AU - Kennel, Ralph
N1 - Publisher Copyright:
© 2013 IEEE.
PY - 2018/3
Y1 - 2018/3
N2 - In this paper, a general optimum control for power converters and drives is proposed. The proposed optimum control will select an optimum voltage vector from the whole hexagonal plane, leading to the best control performance fulfilling a predefined performance index. With the proposed concept, two subsolutions, i.e., both continuous and discrete solutions, are derived and unified in the frame of optimum control. The continuous solution utilizes the averaged continuous-time model of the system and is capable of dealing with multiple system constraints, showing good performance with less calculation efforts, while the discrete solution takes the finite set of the power converter switching vectors into consideration and the state transition of the system can be predicted with a chosen vector. Both methods require less calculation efforts compared with the well-known finite-control-set model predictive control method, which makes it very suitable for practical realizations. Finally, as a case of study, the proposed concept is tested at a current-controlled 3-kW surface-mounted permanent magnet synchronous motor drive under different scenarios. The experimental results validate the effectiveness of both solutions.
AB - In this paper, a general optimum control for power converters and drives is proposed. The proposed optimum control will select an optimum voltage vector from the whole hexagonal plane, leading to the best control performance fulfilling a predefined performance index. With the proposed concept, two subsolutions, i.e., both continuous and discrete solutions, are derived and unified in the frame of optimum control. The continuous solution utilizes the averaged continuous-time model of the system and is capable of dealing with multiple system constraints, showing good performance with less calculation efforts, while the discrete solution takes the finite set of the power converter switching vectors into consideration and the state transition of the system can be predicted with a chosen vector. Both methods require less calculation efforts compared with the well-known finite-control-set model predictive control method, which makes it very suitable for practical realizations. Finally, as a case of study, the proposed concept is tested at a current-controlled 3-kW surface-mounted permanent magnet synchronous motor drive under different scenarios. The experimental results validate the effectiveness of both solutions.
KW - Current control
KW - Electric drives
KW - Optimum control
KW - Power converters
KW - Predictive control
UR - http://www.scopus.com/inward/record.url?scp=85021795067&partnerID=8YFLogxK
U2 - 10.1109/JESTPE.2017.2717195
DO - 10.1109/JESTPE.2017.2717195
M3 - Article
AN - SCOPUS:85021795067
SN - 2168-6777
VL - 6
SP - 352
EP - 362
JO - IEEE Journal of Emerging and Selected Topics in Power Electronics
JF - IEEE Journal of Emerging and Selected Topics in Power Electronics
IS - 1
M1 - 7953476
ER -