TY - JOUR
T1 - Exact Modeling and Multiobjective Optimization of Vernier Machines
AU - Zhao, Hang
AU - Liu, Chunhua
AU - Song, Zaixin
AU - Wang, Wusen
N1 - Funding Information:
This work was supported in part by the Natural Science Foundation of China under Grant 52077186 and Grant 51677159, in part by the Science Technology and Innovation Committee of Shenzhen Municipality, Shen-zhen, China, under Grant JCYJ20180307123918658, and in part by the Innovation and Technology Commission, Hong Kong SAR, under Grant ITP/027/19AP.
Publisher Copyright:
© 1982-2012 IEEE.
PY - 2021/12
Y1 - 2021/12
N2 - This article presents a high-fidelity analytical solution and a fast integrated optimization method for vernier machines. First, a harmonic modeling method (HMM) is adopted to obtain the magnetic field distribution of vernier machines. Particularly, the stator teeth of vernier machines are divided into several blocks to take account of the local magnetic saturation of soft-magnetic material. Then, the electromagnetic parameters, such as the average torque, torque ripple, and efficiency, can be calculated via the analytical model. Next, the proposed harmonic model is combined with the nondominated sorting genetic algorithm II (NSGA-II) to determine a multiobjective optimal design for the studied vernier machine. This integrated optimization method can save computation time, because the data interaction process between the finite-element analysis (FEA) software and the optimization software is eliminated. Finally, the performances of the optimal case are verified by both FEA and experiments with the prototype.
AB - This article presents a high-fidelity analytical solution and a fast integrated optimization method for vernier machines. First, a harmonic modeling method (HMM) is adopted to obtain the magnetic field distribution of vernier machines. Particularly, the stator teeth of vernier machines are divided into several blocks to take account of the local magnetic saturation of soft-magnetic material. Then, the electromagnetic parameters, such as the average torque, torque ripple, and efficiency, can be calculated via the analytical model. Next, the proposed harmonic model is combined with the nondominated sorting genetic algorithm II (NSGA-II) to determine a multiobjective optimal design for the studied vernier machine. This integrated optimization method can save computation time, because the data interaction process between the finite-element analysis (FEA) software and the optimization software is eliminated. Finally, the performances of the optimal case are verified by both FEA and experiments with the prototype.
KW - Harmonic modeling method
KW - integrated optimization
KW - magnetic saturation
KW - permanent magnet machine
KW - vernier machine
UR - http://www.scopus.com/inward/record.url?scp=85098762766&partnerID=8YFLogxK
U2 - 10.1109/TIE.2020.3044785
DO - 10.1109/TIE.2020.3044785
M3 - Journal article
AN - SCOPUS:85098762766
SN - 0278-0046
VL - 68
SP - 11740
EP - 11751
JO - IEEE Transactions on Industrial Electronics
JF - IEEE Transactions on Industrial Electronics
IS - 12
M1 - 9301206
ER -