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Multiobjective optimum design method with anti‐demagnetization of high‐density permanent magnet synchronous motor
Author(s) -
Wei Shi,
Zhouyun Zhang
Publication year - 2014
Publication title -
ieej transactions on electrical and electronic engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.254
H-Index - 30
eISSN - 1931-4981
pISSN - 1931-4973
DOI - 10.1002/tee.22005
Subject(s) - magnet , demagnetizing field , torque ripple , finite element method , torque density , ripple , multi objective optimization , control theory (sociology) , genetic algorithm , torque , computer science , optimal design , permanent magnet synchronous motor , automotive engineering , control engineering , mathematical optimization , engineering , mechanical engineering , magnetic field , induction motor , mathematics , physics , electrical engineering , direct torque control , structural engineering , voltage , artificial intelligence , magnetization , control (management) , quantum mechanics , machine learning , thermodynamics
This paper presents a method of multiobjective optimization design with anti‐demagnetization aiming at the problem of irreversible demagnetization in high‐density permanent magnet synchronous motors (PMSMs) due to temperature and external magnetic field, at the same time considering the volume of permanent magnets and cost, torque ripple, and core loss. In the first step, a two‐dimensional magnetic network model is used to rapidly assess the basic design parameters and its ability to avenge the anti‐demagnetization of the PMSM. In the second step, the finite element method (FEM) is used to design the key parts of motor, and regression models that solve the model of the multiobjective problem are built based on the simulation experiment data. On this basis, multiobjective optimization result using genetic algorithm is used that can achieve a fast and efficiently global optimal solution. © 2014 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.