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Error estimation of a proper orthogonal decomposition reduced model of a permanent magnet synchronous machine

机译:永磁同步电机适当正交分解简化模型的误差估计

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摘要

Model order reduction methods, like the proper orthogonal decomposition (POD), enable to reduce dramatically the size of a finite element (FE) model. The price to pay is a loss of accuracy compared with the original FE model that should be of course controlled. In this study, the authors apply an error estimator based on the verification of the constitutive relationship to compare the reduced model accuracy with the full model accuracy when POD is applied. This estimator is tested on an example of a permanent magnet synchronous machine.
机译:像适当的正交分解(POD)一样,模型阶数减少方法可以显着减小有限元(FE)模型的大小。与应受控制的原始有限元模型相比,要付出的代价是准确性的损失。在这项研究中,作者应用了基于本构关系验证的误差估计器,以比较在应用POD时降低的模型精度与完整模型精度。该估算器在永磁同步电机的示例上进行了测试。

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