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

Authors :
Dai, Rui
Zhang, Yue
Wang, Tianyu
Zhang, Fengge
Gerada, Chris
Zhang, Yuan
Source :
IET Electric Power Applications (Wiley-Blackwell); Dec2021, Vol. 15 Issue 12, p1616-1629, 14p
Publication Year :
2021

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
17518660
Volume :
15
Issue :
12
Database :
Complementary Index
Journal :
IET Electric Power Applications (Wiley-Blackwell)
Publication Type :
Academic Journal
Accession number :
153385017
Full Text :
https://doi.org/10.1049/elp2.12126