Multi-Objective Optimization of a Direct-Drive Dual-Structure Permanent Magnet Machine

The purpose of this paper is to optimize the design of a dual-structure permanent magnet (PM) machine for the low-speed application. Multi-objective optimization using nondominated sorting genetic algorithm II (NSGA-II) is used to maximize the torque and efficiency while reducing the torque ripple o...

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Veröffentlicht in:	IEEE transactions on magnetics Jg. 55; H. 10; S. 1 - 4
Hauptverfasser:	Ma, Yue, Ching, T. W., Fu, W. N., Niu, Shuangxia
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.10.2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Classification Design optimization Directive drive dual-structure permanent magnet (PM) machine Forging Genetic algorithms independent stators Low speed Magnetism multi-objective function optimization Multiple objective analysis Optimization Permanent magnets Product design Ripples Rotors Sorting algorithms Stators Torque Torque measurement Windings
ISSN:	0018-9464, 1941-0069
Online-Zugang:	Volltext
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