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Sampled-Data Modeling Applied to Output Impedance Reveals Missing Term in State-Space Averaging Model

机译:应用于输出阻抗的采样数据建模显示状态空间平均模型中的缺失术语

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The investigation of the stability of larger power systems requires knowledge about output impedances of switch mode power supplies (SMPSs). Methods for the prediction of this quantity of a SMPS comprise state-space averaging and sampleddata modeling. However, results obtained from both methods exhibit large differences. Furthermore, sampled-data modeling itself yields completely different results for different sampling points. Negative as well as positive incremental impedances may occur. Nevertheless, considerations of the steady-state In time domain prove the existence of these strongly different results, as discussed in this paper. In addition to that, it will be shown that only small additional effort is necessary to simulate the converter behavior with exact averaged quantities. This leads directly to an improvement of the state-space average model by means of adding an operating point dependent resistor.
机译:对较大功率系统稳定性的调查需要了解开关模式电源的输出阻抗(SMPS)。预测该SMP的方法的方法包括状态空间平均和SAMPLEDDATA建模。然而,两种方法获得的结果表现出大的差异。此外,采样数据建模本身对不同的采样点产生完全不同的结果。可能会发生否定和正增量阻抗。尽管如此,正如本文所讨论的那样,时域中稳态的考虑证明了这些强烈不同的结果。除此之外,还表明只有小额额外的努力,必须以精确的平均量模拟转换器行为。这通过添加操作点相关电阻直接导致状态空间平均模型的改进。

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