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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Beschreibung
Zusammenfassung: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 of the machine. The torque, torque ripple, and efficiency of the optimized machine have significant improvement by optimizing the machine parameters within a fixed outer axial and radial length. This optimization process can be used to select the best machine design in different aspects' requirement.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:0018-9464
1941-0069
DOI:10.1109/TMAG.2019.2922475