機譯:基于多種群遺傳算法的纏繞繞組空芯PMLSM設計優化
Dept. of Electr. Eng., Harbin Inst. of Technol., Harbin, China;
design engineering; electric potential; finite element analysis; genetic algorithms; linear synchronous motors; machine windings; magnetic fields; magnetic flux; permanent magnet motors; 3D finite element analysis; air-bearing; air-cored PMLSM; air-cored permanent magnet linear synchronous motors; design optimization; flux density; high motor constant; high thrust per coils quantity; high thrust per volume; inductive electromotive force; low thrust ripple; magnetic field model; multiobjective optimization method; multiple population genetic algorithm; overlapping windings; ultraprecise positioning stage; weight coefficients; Coils; Genetic algorithms; Manganese; Optimization; Sociology; Statistics; Windings; Air-cored; multiobjective optimization; multiple population genetic algorithm (MPGA); overlapping windings;
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