Design Optimization of Air-Cored PMLSM With Overlapping Windings by Multiple Population Genetic Algorithm

Abstract

This paper deals with design optimization of air-cored permanent magnet linear synchronous motors with overlapping windings to achieve high thrust per volume, high thrust per coils quantity, high motor constant, and low thrust ripple simultaneously for ultra-precise positioning stage with air-bearing. Based on accurate magnetic field model, motor parameters such as flux density, inductive electromotive force (EMF), thrust per volume, thrust per coils quantity, and thrust ripple are analyzed. A multiobjective optimization method with weight coefficients is proposed by applying the multiple population genetic algorithm. The design optimization is verified by 3-D finite element analysis and experimental results.