Parameter Sensitivity Analysis and Robust Design Approach for Flux-Switching Permanent Magnet Machines

Gan Zhang, Qing Tong, Anjian Qiu, Xiaohan Xu, Wei Hua and Zhihong Chen
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Gan Zhang: School of Electrical Engineering, Southeast University, Nanjing 210096, China
Qing Tong: School of Electrical Engineering, Southeast University, Nanjing 210096, China
Anjian Qiu: School of Electrical Engineering, Southeast University, Nanjing 210096, China
Xiaohan Xu: Maintenance Branch Company, State Grid Jiangsu Electric Power Co., Ltd., Nanjing 211102, China
Wei Hua: School of Electrical Engineering, Southeast University, Nanjing 210096, China
Zhihong Chen: Beijing Institute of Precision Mechatronics and Controls, Beijing 100076, China

Energies, 2022, vol. 15, issue 6, 1-15

Abstract: Parameter sensitivity analysis is usually required to select the key parameters with high sensitivity to the optimal goal before the optimization is carried out, especially for flux-switching permanent magnet (FSPM) machines where lot of design parameters should be considered. Unlike the traditional studies on parameter sensitivity, which are generally experience- or statistics-based, and are time-consuming, this paper proposes a parameter sensitivity analysis method of a FSPM machine based on a magnetic equivalent circuit (MEC), which enables the parameters’ sensitivities to be evaluated by their exponential in the nondimensionalized equations, thus providing a fast and accurate way to obtain the parameter sensitivities. Thereafter, the influences of modular manufacturing methods on magnetic performances are discussed, and the robust design approach for the FSPM machine is introduced, which aims to achieve the best machine stability and robustness by setting boundaries on design dimensions when taking into account the manufacturing tolerances. Experimental validations are also presented.

Keywords: flux switching; parameter sensitivity; robust design approach; stator-PM (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
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