A Cable Modeling Method Based on Vector Fitting Algorithm Considering Frequency-Variable Characteristics

2019 ◽  
Author(s):  
Li Tian ◽  
Zhang Ming
Keyword(s):  
Modeling Method ◽  
Vector Fitting ◽  
Fitting Algorithm

scholarly journals A Parametric Conducted Emission Modeling Method of a Switching Model Power Supply (SMPS) Chip by a Developed Vector Fitting Algorithm

Electronics ◽  
2019 ◽  
Vol 8 (7) ◽  
pp. 725 ◽  
Author(s):  
Xuchun Hao ◽  
Shuguo Xie ◽  
Ziyao Chen
Keyword(s):  
Power Supply ◽  
Simulation Software ◽  
Modeling Method ◽  
Forecast Errors ◽  
Emission Model ◽  
Electromagnetic Modeling ◽  
Switching Model ◽  
Vector Fitting ◽  
Fitting Algorithm ◽  
Conducted Emission

This paper proposes a modeling method to establish a parametric-conducted emission model of a switching model power supply (SMPS) chip through a developed vector fitting algorithm. A common SMPS chip LTM8025 was taken as an example to explain the modeling process. According to the integrated circuit (IC) electromagnetic modeling (ICEM) standard, the parametric conducted emission model is divided into two parts: IC internal activity (ICIA) and IC passive distribution network (ICPDN). The parameters of ICIA are identified by measured data and correlated with key components; an improved vector-fitting algorithm is proposed to solve the fitting problem of ICPDN without phase information. This parametric model can be used with commercial simulation software together to achieve predictions of conducted emissions from power modules. The experiment results show that the maximum and 90% confidence interval of the forecast errors are 9.677 dB and (−4.56 dB, 6.52 dB) respectively, which achieve the international standard requirements and have sufficient accuracy and effectiveness.

Performance of Vector Fitting Algorithm Applied to Bandpass and Baseband Systems

2018 ◽  
Vol 37 (11) ◽  
pp. 5143-5160 ◽  
Author(s):  
K. Vrinda ◽  
N. S. Murty ◽  
Dhanesh G. Kurup
Keyword(s):  
Vector Fitting ◽  
Fitting Algorithm

scholarly journals A Modification of Gustavsen and Semlyen’s vector fitting algorithm for overestimated model order

2021 ◽  
Author(s):  
Andrew Mackay
Keyword(s):  
Control Parameter ◽  
Infinite Order ◽  
Null Space ◽  
Original Function ◽  
Model Order ◽  
Vector Fitting ◽  
Fitting Algorithm ◽  
Improve Accuracy ◽  
Space Method

Gustavsen and Semlyen’s vector fitting algorithm (VFA) is popular for the determination of the poles and residues of a sampled response function, modeled as a finite order rational function. However, it does not always perform well when the original function is of infinite order and/or the model order is overestimated. This article is concerned with a novel “null-space” modification of the VFA that provides an accurate representation of the original function when the model order is large and when the original VFA performs poorly. The null-space method is parameterized by a single control parameter, L, which can be adjusted to improve accuracy. Comparisons are made with the original VFA and another of Gustavsen’s modifications

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