Magnetic-circuit-derived models are commonly used to simulate electromagnetic devices due to their simplicity and relative accuracy in basic applications. Lumped parameter models (LPMs) based on magnetic circuit parameters offer computational speed advantages relative to other numerical method-based modeling techniques. However, situations can arise, whereby the accuracy of these LPMs is compromised even when non-linear effects are accounted for. In this research, an analytical technique is described whereby a factor that can reduce the magnetic circuit-based models’ accuracy is identified and corrected using a technique referred to as reluctance scaling. This technique allows electromagnetic device operational models to be derived using less computationally complex numerical methods than commonly used alternatives, while achieving similar levels of accuracy.

中文翻译：

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使用磁阻缩放的磁路方程建模电磁设备

由于磁路衍生模型在基本应用中的简单性和相对精度，它们通常用于模拟电磁设备。与其他基于数值方法的建模技术相比，基于磁路参数的集总参数模型 (LPM) 具有计算速度优势。然而，可能会出现这样的情况，即使考虑到非线性效应，这些 LPM 的准确性也会受到影响。在这项研究中，描述了一种分析技术，通过这种技术，可以使用一种称为磁阻缩放的技术来识别和校正会降低基于磁路的模型精度的因素。该技术允许使用比常用替代方法计算复杂度更低的数值方法来推导出电磁设备操作模型，