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Design Optimization of Air-Cored PMLSM With Overlapping Windings by Multiple Population Genetic Algorithm | IEEE Journals & Magazine | IEEE Xplore

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...Show More

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.
Published in: IEEE Transactions on Magnetics ( Volume: 50, Issue: 11, November 2014)
Article Sequence Number: 8205405
Date of Publication: 02 December 2014

ISSN Information:


I. Introduction

Air-cored permanent magnet linear synchronous motor (PMLSM) are gradually used in the field of ultra-precision application. However, for ultra-precise positioning stage with air-bearing, motor volume, and coils, quality must be strictly limited, and heat losses can affect some material deformation and the accuracy of test instruments, for example, the laser interferometer. Therefore, improvements of thrust per volume, thrust per coils quantity, thrust per copper losses, and thrust ripple simultaneously are required to improve motor performance and adaptability.

References

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