TY - JOUR
T1 - A Fast Optimization Scheme of Coaxial Magnetic Gears Based on Exact Analytical Model Considering Magnetic Saturation
AU - Zhao, Hang
AU - Liu, Chunhua
AU - Song, Zaixin
AU - Yu, Jincheng
N1 - Funding Information:
Manuscript received July 15, 2020; revised October 27, 2020; accepted November 14, 2020. Date of publication November 24, 2020; date of current version December 31, 2020. Paper 2020-EMC-1237.R1, presented at the 2019 22nd International Conference on Electrical Machines and Systems, Harbin, China, Aug. 11–14, and approved for publication in the IEEE TRANSAC-TIONS ON INDUSTRY APPLICATIONS by the Electric Machines Committee of the IEEE Industry Applications Society. This work was supported in part by the Natural Science Foundation of China (NSFC), China, under Grant 51677159 and Grant 52077186, in part by the Science Technology and Innovation Committee of Shenzhen Municipality, Shenzhen, China, under Grant JCYJ20180307123918658, in part by the Innovation and Technology Commission, Hong Kong SAR under Grant ITP/027/19AP, and in part by the City University of Hong Kong, Hong Kong Applied Research Grant ARG-9667214. (Corresponding author: Chunhua Liu.) The authors are with the School of Energy and Environment, City University of Hong Kong, Hong Kong, and also with the Shenzhen Research Institute, City University of Hong Kong, Shenzhen 999077, China (e-mail: [email protected]; [email protected]; [email protected]. edu.hk; [email protected]).
Publisher Copyright:
© 1972-2012 IEEE.
PY - 2021/1/1
Y1 - 2021/1/1
N2 - This article presents a harmonic modeling method (HMM) for coaxial magnetic gears (CMGs) by considering the nonlinear B-H curve for soft-magnetic material. CMGs are divided into several annular layers, where Maxwell equation is solved. A convolution matrix of permeability is introduced to obtain the relationship between the magnetic flux density and magnetic field strength, and the continuous boundary conditions can be further satisfied. Subsequently, the magnetic field distribution and electromagnetic performance of CMGs can be calculated by solving the system equations. The computation time and accuracy of HMM are compared with those of finite element analysis (FEA) and subdomain method. The results show that the HMM is relatively fast and precise, and its computation time is about 80% of that of FEA. Then, the parameters of CMGs are optimized based on the HMM and non-dominated sorting genetic algorithm II (NSGA-II) combined optimization method. Particularly, the modulator is divided into multilayers, so its saturation can be modeled more precisely, and its shape can be further optimized. Finally, two optimal cases are evaluated and compared, and the result proves the effectiveness of the integrated optimization method.
AB - This article presents a harmonic modeling method (HMM) for coaxial magnetic gears (CMGs) by considering the nonlinear B-H curve for soft-magnetic material. CMGs are divided into several annular layers, where Maxwell equation is solved. A convolution matrix of permeability is introduced to obtain the relationship between the magnetic flux density and magnetic field strength, and the continuous boundary conditions can be further satisfied. Subsequently, the magnetic field distribution and electromagnetic performance of CMGs can be calculated by solving the system equations. The computation time and accuracy of HMM are compared with those of finite element analysis (FEA) and subdomain method. The results show that the HMM is relatively fast and precise, and its computation time is about 80% of that of FEA. Then, the parameters of CMGs are optimized based on the HMM and non-dominated sorting genetic algorithm II (NSGA-II) combined optimization method. Particularly, the modulator is divided into multilayers, so its saturation can be modeled more precisely, and its shape can be further optimized. Finally, two optimal cases are evaluated and compared, and the result proves the effectiveness of the integrated optimization method.
KW - Coaxial magnetic gear (CMG)
KW - design optimization
KW - harmonic modeling method (HMM)
KW - magnetic saturation
UR - http://www.scopus.com/inward/record.url?scp=85097181558&partnerID=8YFLogxK
U2 - 10.1109/TIA.2020.3040142
DO - 10.1109/TIA.2020.3040142
M3 - Journal article
AN - SCOPUS:85097181558
SN - 0093-9994
VL - 57
SP - 437
EP - 447
JO - IEEE Transactions on Industry Applications
JF - IEEE Transactions on Industry Applications
IS - 1
M1 - 9268147
ER -