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Multiobjective optimal design of saturated surface‐mounted permanent magnet synchronous motors
Author(s) -
Ilka Reza,
AlinejadBeromi Yousef
Publication year - 2019
Publication title -
international journal of numerical modelling: electronic networks, devices and fields
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.249
H-Index - 30
eISSN - 1099-1204
pISSN - 0894-3370
DOI - 10.1002/jnm.2592
Subject(s) - sorting , multi objective optimization , finite element method , permanent magnet synchronous motor , optimal design , genetic algorithm , magnet , control theory (sociology) , process (computing) , pareto optimal , computer science , mathematical optimization , synchronous motor , engineering , mathematics , mechanical engineering , algorithm , structural engineering , control (management) , machine learning , artificial intelligence , operating system , electrical engineering
This paper presents a multiobjective optimal design of the parameters of surface‐mounted permanent magnet synchronous motors (PMSMs) considering saturation of the iron core. Multiobjective parameter tuning can further improve the performance characteristics of such motors. Specifically, efficiency and total volume are of great importance in industrial applications. A new formulation is presented for these two objective functions. In this paper, a multiobjective optimization based on a modified nondominated sorting genetic algorithm II (NSGA‐II) is utilized for optimal design of PMSM. Pareto‐optimal solution is achieved, and optimal variables are obtained. The best solutions are then selected by k‐means clustering algorithm for the motor under study. Finally, finite element analysis (FEA) is performed to validate the optimization procedure. The FEA results agree well with the values obtained by the optimization process.