Robust Design Optimization of the Cogging Torque for a PMSM Based on Manufacturing Uncertainties Analysis and Approximate Modeling

Liqin Wu, Hao Chen (), Tingyue Yu, Chengzhi Sun, Lin Wang, Xuerong Ye and Guofu Zhai
Additional contact information
Liqin Wu: School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China
Hao Chen: School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China
Tingyue Yu: School of Cyberspace Science, Harbin Institute of Technology, Harbin 150001, China
Chengzhi Sun: School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China
Lin Wang: Guangzhou CNC Equipment Co., Ltd., Guangzhou 510530, China
Xuerong Ye: School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China
Guofu Zhai: School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China

Energies, 2023, vol. 16, issue 2, 1-24

Abstract: A permanent magnet synchronous motor (PMSM) is a crucial device for power conversion in an energy system. The cogging torque of the PMSM is a crucial output characteristic, the robustness of which affects the operational reliability of the energy system. Therefore, the robust design optimization (RDO) of cogging torque has aroused widespread concern. There are several challenges in designing a robust cogging torque PMSM. In particular, some design parameters contain repetitive units, and the finite element analysis (FEA) method is time-consuming. State-of-the-art RDO methods usually treat these uncertainties from repetitive units as the same parameter, which neglects the fluctuation of the manufacturing process and cannot obtain a robust solution for the cogging torque of the motor efficiently and accurately. In order to solve this issue, an approximate modeling method based on manufacturing uncertainties analysis for RDO is proposed in this paper. First, the peak-to-peak value of cogging torque ( T cpp ) is used to characterize the cogging torque, which is decoupled to an ideal component and fluctuation component produced by the center values and manufacturing tolerances of design parameters. The design of experiments (DoE) and simulation of the two components are carried out. Then, these two components are approximated separately, and the approximate model of T cpp is obtained by adding the two components. Finally, the proposed approximate model is embedded into the RDO algorithm, and the PMSM design scheme for good T cpp robustness is obtained. The effectiveness of the proposed method is verified through a case study of the PMSM.

Keywords: energy system; permanent magnet synchronous motor; manufacturing uncertainties; approximate modeling; robust design optimization (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: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/16/2/663/pdf (application/pdf)
https://www.mdpi.com/1996-1073/16/2/663/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:16:y:2023:i:2:p:663-:d:1026569

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().