MATLAB Source Code: Frequency-Partitioning Fitting Method for Linear Equivalent Identification from Frequency Response Data

It is often the case that the frequency response data of a system or a network is available and one wants to identify a linear equivalent from the frequency response data for time-domain simulations and other purposes. To this end, a variety of methods have been proposed, and the vector fitting (VF) method and the frequency-partitioning fitting (FpF) method are often used for electromagnetic transient (EMT) simulations of power systems. The main applications are frequency-dependent transmission-line modeling and frequency-dependent network modeling, but they should be applicable to various engineering and scientific problems where a pole-residue representation of a linear multi-input multi-output (MIMO) system has to be identified from its frequency response data.在众多场合，系统或网络的频率响应数据已得到获取，而人们往往希望建立一个线性等效模型以供时域模拟及其他目的使用。为此，已提出多种方法，其中向量拟合（VF）方法和频率分区拟合（FpF）方法常被用于电力系统的电磁瞬态（EMT）模拟。其主要应用领域包括频率相关传输线建模和频率相关网络建模，但它们亦适用于众多工程与科学问题，在这些问题中，需从线性多输入多输出（MIMO）系统的频率响应数据中识别其极点留数表示。

搜集汇总

背景与挑战

背景概述

该数据集提供了MATLAB源代码，用于实现频率分区拟合（FpF）方法，该方法旨在从系统的频响数据中识别线性等效模型，主要用于电力系统的电磁暂态仿真，如频率相关传输线建模和网络建模，但也可推广到其他需要线性多输入多输出系统极-留数表示的工程和科学领域。