TY - GEN
T1 - Simplified predictive torque control of five phase permanent magnet motor with non-sinusoidal back-EMF
AU - Liu, Xicai
AU - Wang, Jin
AU - Li, Zhixiong
AU - Zuo, Hao
AU - Zhou, Libing
AU - Kennel, Ralph
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/12/26
Y1 - 2018/12/26
N2 - This paper presents a simplified model predictive torque control (PTC) algorithm for surface-mounted five phase permanent magnet synchronous motors with non-sinusoidal back-EMF. The number of weighting factors is greatly reduced in comparison to conventional model predictive torque control. Three cost functions are evaluated in sequential manner to control the total torque and direct-axis currents. In the proposed method, the control performances can be adjusted by changing the selection criteria of the candidate voltage vectors, while it is done by tuning the weighting factors in conventional PTC. Simulation results have shown that, with the proposed method, predictive torque control of multiphase motor drives can be realized in a more simple and flexible way.
AB - This paper presents a simplified model predictive torque control (PTC) algorithm for surface-mounted five phase permanent magnet synchronous motors with non-sinusoidal back-EMF. The number of weighting factors is greatly reduced in comparison to conventional model predictive torque control. Three cost functions are evaluated in sequential manner to control the total torque and direct-axis currents. In the proposed method, the control performances can be adjusted by changing the selection criteria of the candidate voltage vectors, while it is done by tuning the weighting factors in conventional PTC. Simulation results have shown that, with the proposed method, predictive torque control of multiphase motor drives can be realized in a more simple and flexible way.
KW - Model predictive control
KW - Multiphase motor drives
KW - Non-sinusoidal back-EMF
KW - Predictive torque control
UR - http://www.scopus.com/inward/record.url?scp=85061541270&partnerID=8YFLogxK
U2 - 10.1109/IECON.2018.8591111
DO - 10.1109/IECON.2018.8591111
M3 - Conference contribution
AN - SCOPUS:85061541270
T3 - Proceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society
SP - 5855
EP - 5859
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 -