TY - GEN
T1 - Predictive current control of five phase permanent magnet motor with non-sinusoidal back-EMF
AU - Liu, Xicai
AU - Zhang, Zhenbin
AU - Gao, Xiaonan
AU - Li, Zhixiong
AU - Wang, Jin
AU - Zhou, Libing
AU - Kennel, Ralph
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/12/26
Y1 - 2018/12/26
N2 - This paper presents a modified predictive current control (PCC) algorithm for five phase permanent magnet motor with non-sinusoidal back electromotive force (back-EMF), which reduces torque ripples and computational burden significantly. A cost function based on voltage tracking errors is proposed. One active voltage vector in combination with one zero voltage vector are applied to the inverter each sampling period. The switching instant is calculated analytically by solving a minimization problem of the cost function. The proposed cost function is evaluated 6 times each sampling period, thus the computational burden is greatly reduced. Simulation results show that torque ripples are greatly reduced and the currents are less distorted by using the proposed method.
AB - This paper presents a modified predictive current control (PCC) algorithm for five phase permanent magnet motor with non-sinusoidal back electromotive force (back-EMF), which reduces torque ripples and computational burden significantly. A cost function based on voltage tracking errors is proposed. One active voltage vector in combination with one zero voltage vector are applied to the inverter each sampling period. The switching instant is calculated analytically by solving a minimization problem of the cost function. The proposed cost function is evaluated 6 times each sampling period, thus the computational burden is greatly reduced. Simulation results show that torque ripples are greatly reduced and the currents are less distorted by using the proposed method.
KW - Dead-Beat current control
KW - Model Predictive Control
KW - Multiphase motor drives
KW - Non-sinusoidal back EMF
UR - http://www.scopus.com/inward/record.url?scp=85061558432&partnerID=8YFLogxK
U2 - 10.1109/IECON.2018.8595143
DO - 10.1109/IECON.2018.8595143
M3 - Conference contribution
AN - SCOPUS:85061558432
T3 - Proceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society
SP - 659
EP - 664
BT - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 44th Annual Conference of the IEEE Industrial Electronics Society, IECON 2018
Y2 - 20 October 2018 through 23 October 2018
ER -