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CSME 2025/2
Volume 46 No.1
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17-31
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Rotor Design Optimization of the Miniature Flux Switching Motor Using a Multivariate Optimization Method
Dang-Khoa Nguyen a and Hua-Chih Huang a
aDepartment of Mechanical Engineering, National Kaohsiung University of Science and Technology, Kaohsiung 807618, Taiwan.
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Abstract:
The Flux Switching Motor (FSM) finds wide
applications across various industrial and residential
domains. Enhanced motor performance correlates
directly with an increase in average torque (Tavg),
while a rise in torque ripple (Tripple) leads to
heightened instability, particularly evident at higher
speeds. To mitigate the impact of these factors on
miniature FSM operation, this study conducted
simulations and analyzed the influence of rotor
geometric parameters on design model performance
using analytical finite element methods via JMAG
software. Weighting factors for each metric were
determined utilizing the entropy method.
Subsequently, a multi-objective optimization
approach was implemented, employing the TOPSISbased Grey Relational Grade (GrG-TOPSIS)
comprehensive evaluation method. This approach
aimed to achieve the optimal combination of process
parameters. This innovative combination method
marks its inaugural application in FSM rotor design.
Experimental findings demonstrate consistent results,
with optimal average torque and torque ripple
variables measuring 368.67µNm and 16.58%,
respectively. Comparative analysis between initial
and optimal parameters reveals a 2.95% improvement
in average torque magnitude and a 7.96% reduction
in torque ripple.
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Keywords: Flux switching motor, Taguchi Optimization, Grey relation analysis, Finite element method.
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*Corresponding author; e-mail:
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©
2025
CSME , ISSN 0257-9731
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