基于采样优化方法的矢量拟合电力电子系统模型提取

Zipeng Liu, Jinjun Liu, Zeng Liu
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引用次数: 0

摘要

电力电子系统的模型是进一步分析和控制的基础,因此矢量拟合这种广泛使用的数据驱动建模方法变得尤为重要。然而,矢量拟合往往需要大量的频响测点,否则可能收敛为不准确的模型。针对这一问题,本文采用采样优化的方法,在矢量拟合之前得到更合理的测点分布。本文表明,将这两种方法结合起来可以有效地提高拟合模型的精度。数值试验证明了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Model Extraction for Power Electronics Systems Using Vector Fitting Based on Sampling Optimized Method
Models of power electronics systems are the basis for further analysis and control, so the vector fitting, a widely used data-driven modeling approach, becomes par-ticularly important. However, vector fitting often requires a large number of frequency response measurement points, otherwise it may converge to an inaccurate model. To address this issue, this paper uses the sampling optimized method to obtain a more reasonable distribution of measure-ment points before vector fitting. This paper demonstrates that combining these two methods can effectively improve the accuracy of the fitted model. Numerical tests prove its effectiveness.
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