Magnet Shape Optimization for Reduction of Cogging Torque in MSPMSG by Using the Taguchi Method

Author(s):  
Zhou Ran ◽  
Meng Keqilao ◽  
Jia Dajiang ◽  
Hai Rihan ◽  
Wang Teng
2013 ◽  
Vol 278-280 ◽  
pp. 143-148 ◽  
Author(s):  
Jian Jian Fan ◽  
Jian Hua Wu

This paper presents the use of Taguchi methods in optimizing a PMSM for reducing peak value of cogging torque. The analytical model of cogging torque is derived by the energe method. The Taguchi optimization method was used to generate the experiment samples, which were calculated in 2-D and 3-D FEA. Three different parameters of PMSM, such as skew ratio, pole embrace and stator slot width were optimized. ANOVA was used to analysis the effect of different factors in Taguchi method.


2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Wenchao Zhang ◽  
Liwei Shi ◽  
Kaiwen Liu ◽  
Lintao Li ◽  
Jianning Jing

In order to improve the air-gap flux density of the permanent magnet synchronous motor and reduce the cogging torque, a novel structure with asymmetric magnetic poles for automobile was proposed. Based on the characteristics of the parallel magnetic circuit, the magnetic flux path diagram is established. And the equivalent magnetic circuit model is established by the equivalent magnetic circuit method. The Taguchi method is used to be a multiobjective optimization algorithm. The total harmonic distortion of the air-gap flux density is the first optimization goal. The second and third optimization goals are the cogging torque and the average of output torque, respectively. And the torque ripple is a constraint condition. The optimized parameter combination is obtained by the Taguchi method. Finite element simulation analysis and prototype test are carried out for the optimized motor structure. The results show that the total harmonic distortion of air-gap flux density is reduced by 36.7% comparing with the initial structure. The cogging torque is reduced by 26.0%. And the average output torque is increased by 4.8%.


1997 ◽  
Vol 33 (2) ◽  
pp. 1822-1827 ◽  
Author(s):  
Chang Seop Koh ◽  
Hee Soo Yoon ◽  
Ki Woong Nam ◽  
Hong Soon Choi

Sign in / Sign up

Export Citation Format

Share Document