Transient simulation of an electrical rotating machine achieved through model order reduction
Transient simulation of an electrical rotating machine achieved through model order reduction
复制标题
通过模型降阶实现旋转电机的瞬态仿真
DOI：
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发表时间：
2016
影响因子：
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通讯作者：
B. Goursaud
中科院分区：
文献类型：
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作者：
L. Montier;T. Henneron;S. Clénet;B. Goursaud
模型降阶（MOR）方法越来越多地应用于物理的许多不同领域，以减少未知数的数量，从而减少大型系统的计算时间。然而，它们在计算电磁学领域的应用是最近才出现的。就电机而言，数值模型必须考虑铁磁材料的非线性行为、转子的运动、电路方程和机械耦合。在这种情况下，我们建议应用适当的正交分解与（离散）经验插值方法相结合，以减少研究电机启动直至达到稳定状态所需的计算时间。提出了一种基于电气工程的经验离线/在线方法，以建立在整个操作范围内准确的高效简化模型。最后，使用从所提出的方法推导出来的简化模型来研究同步电机的二维示例。
Model order reduction (MOR) methods are more and more applied on many different fields of physics in order to reduce the number of unknowns and thus the computational time of large-scale systems. However, their application is quite recent in the field of computational electromagnetics. In the case of electrical machine, the numerical model has to take into account the nonlinear behaviour of ferromagnetic materials, motion of the rotor, circuit equations and mechanical coupling. In this context, we propose to apply the proper orthogonal decomposition combined with the (Discrete) empirical interpolation method in order to reduce the computation time required to study the start-up of an electrical machine until it reaches the steady state. An empirical offline/online approach based on electrical engineering is proposed in order to build an efficient reduced model accurate on the whole operating range. Finally, a 2D example of a synchronous machine is studied with a reduced model deduced from the proposed approach.