Optimization of Magnetic Gear Patterns Based on Taguchi Method Combined with Genetic Algorithm

Yuan Mao and Yun Yang
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Yuan Mao: College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China
Yun Yang: Department of Electrical Engineering, The Hong Kong Polytechnic University, Hong Kong, China

Energies, 2022, vol. 15, issue 14, 1-12

Abstract: Magnetic gears (MGs) have gained increasing attention due to their sound performance in high torque density and low friction loss. Aiming to maximize the torque density, topology design has been a popular issue in recent years. However, studies on the optimization comparisons of a general MG topology pattern are very limited. This paper proposes a Taguchi-method-based optimization method for a general MG topology pattern, which can cover most of the common types of radially magnetized concentric-surface-mounted MGs (RMCSM-MGs). The Taguchi method is introduced to evaluate the influence of each parameter in MGs. Moreover, the parameter value range is re-examined based on the sensitivity analysis results. The genetic algorithm (GA) method is adopted to optimize the topology pattern in the study.

Keywords: finite element method; genetic algorithm; magnetic gear; Taguchi method (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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