基于多物理场近似模型的高速永磁电机多目标优化设计

Multi-Objective Optimization Design of High-Speed Permanent Magnet Machine Based on Multi-Physics Approximate Model

高速永磁电机(HSPMM)由于具有功率密度和效率高、体积小、质量轻及动态响应快等优点受到越来越多的关注。然而,HSPMM的设计是一个典型的非线性的多物理场耦合设计过程,难以建立准确的数学模型对其进行优化设计。该文提出一种基于多物理场近似模型(MPAM)的HSPMM多目标优化设计方法。该方法采用MPAM进行多物理场的并行计算,并在优化过程中直接调用MPAM,可以有效地解决有限元模型(FEM)计算耗时的问题,同时也可以避免有限元优化过程中FEM迭代计算收敛困难的问题。最后,研制了一台1.1MW,18000r/min的高速永磁电机,并进行了相关的实验,验证了该文所提出的HSPMM优化设计方法的可行性。

High-speed permanent magnet machine(HSPMM)is attracting more attention due to its advantages of high power density and efficiency,small size,light weight and fast dynamic response.The design of HSPMM is a nonlinear,multi-physics coupled process that makes it difficult to build an accurate mathematical model to optimize design parameters.This paper presents a multi-objective optimization method based on multi-physics approximate model(MPAM).This method uses a MPAM to replace the multi-physics serial design process,and directly calls the MPAM for calculations in the optimization process,which can effectively solve the time-consuming problem and avoid the problem of nonconvergence in the process of finite element model call.Finally,a 1.1MW,18000r/min HSPMM is produced and related experiments are carried out,the feasibility of the method proposed in this paper for HSPMM optimization is verified.