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Memory Efficient Harmonic Method for Electromagnetic Models Using Scattering Matrices.

机译:利用散射矩阵的存储器高效谐波法。

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摘要

In design and optimization of electrical machines, accurate models of the electromagnetic fields are important to predict the performance of the machine. The finite element method (FEM) is often used, because of its ability to produce accurate results when it is correctly utilized. However, the method can be demanding in terms of memory and relatively slow in terms of computation time. Therefore, semi-analytical models have been proposed over the years for increasingly complex structures in both 2D and 3D. One of the semi-analytical models is the harmonic modeling technique [1], [2], [3], which uses a Fourier bases to describe the solutions to electromagnetic field quantities. In many electromagnetic configurations, accurate results are obtained using a relatively low number of harmonics. However, for more complex structures, the number of harmonics has to be increased to retain accuracy. This leads to a proportional increase in the required memory. As a result, especially in 3D models, the advantage in terms of memory of the harmonic model in comparison to FEM is reducing. In this paper an alternative solving method for 3D harmonic models with position dependent material properties is presented. Using the scattering matrix approach, the memory required to obtain the solutions of the model is significantly reduced.
机译:在电机的设计和优化中,电磁场的精确模型对于预测机器的性能非常重要。通常使用有限元方法(FEM),因为它能够在正确使用时产生准确的结果。然而,该方法可以在内存方面要求苛刻,并且在计算时间方面相对较慢。因此,多年来已经提出了半分析模型,在2D和3D中越来越复杂的结构。半分析模型之一是谐波建模技术[1],[2],[3],其使用傅里叶基础来描述对电磁场量的解决方案。在许多电磁配置中,使用相对较低的谐波获得准确的结果。但是,对于更复杂的结构,必须增加谐波的数量以保持准确性。这导致所需内存的比例增加。结果,特别是在3D模型中,与FEM相比,谐波模型的存储器中的优点是还原。本文介绍了一种替代求解具有位置依赖性材料特性的3D谐波模型的替代求解方法。使用散射矩阵方法,显着降低了获得模型解决方案所需的存储器。

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