Multi objective optimization design of axial flux permanent magnet motor based on magnetic field analytical model and genetic algorithm

被引:0
作者
Tong W.-M. [1 ]
Ma X.-J. [1 ]
Wei H.-Y. [1 ]
Wu S.-N. [1 ]
机构
[1] National Engineering Research Center for Rare-Earth Permanent Magnet Machines, Shenyang University of Technology, Shenyang
来源
Dianji yu Kongzhi Xuebao/Electric Machines and Control | 2022年 / 26卷 / 01期
关键词
Axial flux permanent magnet motor; Effective cost; Electromagnetic torque; Genetic algorithm; Magnetic field analytical model; Multi-objective optimization design;
D O I
10.15938/j.emc.2022.01.005
中图分类号
学科分类号
摘要
Aiming at the problems of large amount of calculation and long time consuming in the conventional optimization method based on finite element method (FEM), a multi-objective optimization design method of axial flux permanent magnet motor (AFPMM) was proposed, which combines the magnetic field analytical model and genetic algorithm. Optimization design of motor was realized on the premise of certain calculation accuracy. Firstly, the complicated three-dimensional model of AFPMM is equivalent to two-dimensional model. The magnetic field analytical model of the motor was established by sub-domain method, and the electromagnetic torque was calculated by Maxwell tensor method. Then, the accuracy of the analytical model was verified by comparing the analytical results with the FEM results. Finally, taking the average electromagnetic torque and the effective cost of the motor as the optimization objectives, the analytical model and genetic algorithm were combined to optimize the AFPMM globally to obtain the design scheme with better electromagnetic torque and effective cost. The results show that the average electromagnetic torque of the optimized AFPMM increases by 11.91% and the effective cost decreases by 9.81%, which verifies effectiveness and practicability of the proposed optimization design method. © 2022, Harbin University of Science and Technology Publication. All right reserved.
引用
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页码:39 / 45
页数:6
相关论文
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