TY - GEN
T1 - Finite Control Set Model Predictive Control Method for Variable-Flux PMSMs
AU - Qiao, Guangyuan
AU - Zheng, Ping
AU - Wang, Mingqiao
AU - Liu, Faliang
AU - Liu, Yong
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - Variable-flux PMSMs with low-coercive-force permanent magnets are considered as a perspective alternative in the variable-speed driving application for their characteristic of operating in wider speed range with higher efficiency by adjusting the variable-flux PMSMs' magnetization states. A series-parallel-magnetic-connected hybrid-magnet variable-flux PMSM is investigated. Machine topology and working principle are introduced. Not only the magnetization state but also the magnetic circuit type of this machine are adjustable. Several performances, like the magnetizing/demagnetizing ability, torque ability, and so on, are investigated in detail. However, the variable-flux PMSM's magnetization state is adjustable during the operation through the instantaneous d-Axis armature current pulses. Then the machine parameter, like permanent-magnet excitation flux linkage, d-Axis inductance and q-Axis inductance, vary nonlinearly for the influence of the magnetization state adjustments and load condition variations. These nonlinear characteristic of the machine parameters bring about many problems to the control system of variable-flux PMSMs. The finite control set model predictive control (FCS-MPC) method for variable-flux PMSMs considering influence of magnetization state adjustments and load condition variations is investigated. Performance of this method is evaluated.
AB - Variable-flux PMSMs with low-coercive-force permanent magnets are considered as a perspective alternative in the variable-speed driving application for their characteristic of operating in wider speed range with higher efficiency by adjusting the variable-flux PMSMs' magnetization states. A series-parallel-magnetic-connected hybrid-magnet variable-flux PMSM is investigated. Machine topology and working principle are introduced. Not only the magnetization state but also the magnetic circuit type of this machine are adjustable. Several performances, like the magnetizing/demagnetizing ability, torque ability, and so on, are investigated in detail. However, the variable-flux PMSM's magnetization state is adjustable during the operation through the instantaneous d-Axis armature current pulses. Then the machine parameter, like permanent-magnet excitation flux linkage, d-Axis inductance and q-Axis inductance, vary nonlinearly for the influence of the magnetization state adjustments and load condition variations. These nonlinear characteristic of the machine parameters bring about many problems to the control system of variable-flux PMSMs. The finite control set model predictive control (FCS-MPC) method for variable-flux PMSMs considering influence of magnetization state adjustments and load condition variations is investigated. Performance of this method is evaluated.
KW - FCS-MPC
KW - nonlinear machine parameter
KW - variable-flux PMSM
UR - https://www.scopus.com/pages/publications/85125807151
U2 - 10.1109/PRECEDE51386.2021.9680985
DO - 10.1109/PRECEDE51386.2021.9680985
M3 - 会议稿件
AN - SCOPUS:85125807151
T3 - 6th IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2021
SP - 640
EP - 644
BT - 6th IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2021
Y2 - 20 November 2021 through 22 November 2021
ER -