基于GP的多面体模型法优化永磁同步电机磁通屏障形状

K. Ishikawa, W. Kitagawa, T. Takeshita
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引用次数: 5

摘要

近年来,电机等电磁机械的效率问题成为研究的热点之一。本文提出了一种新的形状优化方法。本文的研究对象是内嵌式永磁同步电动机(IPMSM)的磁通屏障,该模型被日本的IEE采用为基准模型。本文将多边形模型法与遗传规划(GP)应用于二维有限元法(2D-FEM)中。目的是研究磁通屏障的形状设计,以改善电磁特性。在传统的尺寸优化方法中,其设计参数在大多数情况下是有限的。然而,本文提出的方法是基于树形结构的形状优化方法。由于树形结构可以表达每一种形状设计,因此该方法在设计参数上具有更大的自由度。
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Shape optimization of flux barriers in IPMSM by using polygon model method with GP
Recently, one of the problems is high efficiency for the electromagnetic machinery like a motor. This paper presents a new method of shape optimization. The target is flux barriers in the interior permanent magnetic synchronous motor (IPMSM) which is adopted as the benchmark model in IEE of Japan. Authors use the polygon model method with genetic programming (GP) by the two-dimensional finite element method (2D-FEM). The purpose is the investigation of shape design of flux barriers to improve the electromagnetic characteristics. In a conventional method as a size optimization, its design parameters are limited in most cases. However, the proposed method is the shape optimization by the tree structure. This method has more freedom for design parameters because the tree structure is possible to express every shape design.
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