Multi‐objective optimisation of the HSPMM rotor based on the multi‐physics surrogate model. Issue 12 (27th August 2021)

• Record Type: Journal Article
• Authors: Dai, Rui; Zhang, Yue; Wang, Tianyu; Zhang, Fengge; Gerada, Chris; Zhang, Yuan
• Is Part Of: IET electric power applications. Volume 15:Issue 12(2021)
• Page Start: 1616
• Page End: 1629
• Publication Date: 2021-08-27
• Subjects: AC machines -- AC motors -- optimisation -- permanent magnet motors; finite element analysis -- rotors -- permanent magnet machines; Electric power -- Periodicals; Electric power systems -- Periodicals; 621.305
• DOI: 10.1049/elp2.12126
• Languages: English
• ISSNs: 1751-8660

Abstract

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.