Parameter Sensitivity Optimization Design and Performance Analysis of Double-Salient Permanent-Magnet Double-Stator Machine
Chen Yunyun1, Zhu Xiaoyong2, Quan Li2, Han Xu1, He Xiaojie1
1. School of Hydraulic Energy and Power Engineering Yangzhou University Yangzhou 225127 China; 2. School of Electrical and Information Engineering Jiangsu University Zhenjiang 212013 China
Abstract：Combined with double stator motor theory and double salient permanent magnet motor theory, the double-salient permanent-magnet double-stator (DSPMDS) machine is suitable for electric vehicles (EVs). It has the advantages of high torque density, high power density and more flexible working modes. In view of the complex structure of the DSPMDS with two rotors and two air gaps, this paper presents the optimal design of the DSPMDS to obtain a low torque ripple and high power density. The sizing equation is derived and the initial design dimensions are determined. The parametric model of the machine is built up. By using optimization method of multi-objective sensitivity, the key structure size parameters are screened that affect the torque ripple and core loss obviously. Then the optimal structure size parameters are determined by further using response surface method. By means of the finite-element method, the electromagnetic performance of the DSPMDS is investigated. Both the results of finite-element analysis and experiments verified the design method and the theoretical analysis, which enrich the fast design and optimization way of the complex PM motor.
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2017, Vol. 32 
