Multi-objective optimisation of the HSPMM rotor based on the multi-physics surrogate model

Dai, Rui; Zhang, Yue; Wang, Tianyu; Zhang, Fengge; Gerada, Chris; Zhang, Yuan

Abstract

High-speed permanent magnetic machine (HSPMM) is attracting more attention due to its high power density, compact size, small rotating inertia, and rapid response capability. However, the design of the HSPMM rotor is a non-linear, multi-physics coupled process that makes it difficult to build an accurate mathematical model for optimisation. This study proposes a multi-objective optimisation method based on the multi-physics surrogate model (MPSM). This method uses an MPSM to replace the finite element model (FEM) for optimisation, which can effectively solve the problem of non-convergence and time consumption of the traditional FEM in the optimisation process. Finally, a 1.1 MW, 18,000 r/min HSPMM is produced and related experiments are carried out; the feasibility of the method proposed in this study for HSPMM optimisation is verified.

Citation

Dai, R., Zhang, Y., Wang, T., Zhang, F., Gerada, C., & Zhang, Y. (2021). Multi-objective optimisation of the HSPMM rotor based on the multi-physics surrogate model. IET Electric Power Applications, 15(12), 1616-1629. https://doi.org/10.1049/elp2.12126

• Journal Article Type: Article
• Acceptance Date: Aug 14, 2021
• Online Publication Date: Aug 27, 2021
• Publication Date: 2021-12
• Deposit Date: Jan 15, 2025
• Publicly Available Date: Jan 17, 2025
• Journal: IET Electric Power Applications
• Print ISSN: 1751-8660
• Electronic ISSN: 1751-8679
• Publisher: Institution of Engineering and Technology (IET)
• Peer Reviewed: Peer Reviewed
• Volume: 15
• Issue: 12
• Pages: 1616-1629
• DOI: https://doi.org/10.1049/elp2.12126
• Public URL: https://nottingham-repository.worktribe.com/output/42839291
• Publisher URL: https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/elp2.12126