System Level Black-Box Models for DC-DC Converters
System Level Black-Box Models for DC-DC Converters
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发表时间：
2008-09
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通讯作者：
L. Arnedo
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作者：
L. Arnedo
本研究的目的是发展一个二埠黑箱直流-直流转换器的系统级模拟与分析的建模方法。该模型不需要有关转换器的组件、结构或控制参数的任何信息。相反，建立模型所需的所有信息都是从转换器功率端子处执行的未终止的实验频率响应函数（FRF）测量中收集的。这些传递函数被称为音频敏感性、反向电流增益、输出阻抗和输入导纳。测量被称为未终止的，因为它们不包含任何关于源和/或负载动态的信息。这项工作提供了深入了解如何源和负载影响频响函数的测量，以及如何解耦这些影响的测量。实际的线性时不变模型通过系统辨识从实验FRF获得。由于从一组FRF获得的双端口模型是线性的，因此它在由转换器操作条件定义的特定操作区域中将是有效的。因此，为了满足在宽的工作区域有效的模型的需要，提出了一种模型结构，结合了一个家庭的线性双端口模型。当转换器非线性主要反映在稳态电流和电压值中时，一种称为维纳结构的结构特别有用。另一种结构被称为多面体结构，并且它能够捕获影响瞬态和稳态转换器行为的非线性。
The aim of this work is to develop a two-port black-box dc-dc converter modeling methodology for system level simulation and analysis. The models do not require any information about the components, structure, or control parameters of the converter. Instead, all the information needed to build the models is collected from unterminated experimental frequency response function (FRF) measurements performed at the converter power terminals. These transfer funtions are known as audiosuceptibility, back current gain, output impedance, and input admittance. The measurements are called unterminated because they do not contain any information about the source and/or the load dynamics. This work provides insights into how the source and the load affect FRF measurements and how to decouple those effects from the measurements. The actual linear time invariant model is obtained from the experimental FRFs via system identification. Because the the two-port model obtained from a set of FRFs is linear, it will be valid in a specific operating region defined by the converter operating conditions. Therefore, to satisfy the need for models valid in a wide operating region, a model structure that combines a family of linear two-port models is proposed. One structure, known as the Wiener structure, is especially useful when the converter nonlinearities are reflected mainly in the steady state currents and voltage values. The other structure is known as a polytopic structure, and it is able to capture nonlinearities that affect the transient and steady state converter behavior.