scholarly journals Small-Signal Modeling of Phase-Shifted Full-Bridge Converter Considering the Delay Associated to the Leakage Inductance

Energies ◽  
2021 ◽  
Vol 14 (21) ◽  
pp. 7280
Author(s):  
Diego Ochoa ◽  
Antonio Lázaro ◽  
Pablo Zumel ◽  
Marina Sanz ◽  
Jorge Rodriguez de Frutos ◽  
...  

This paper demonstrates that in the Phase-Shifted Full-Bridge (PSFB) buck-derived converter, there is a random delay associated with the blanking time produced by the leakage inductance. This random delay predicts the additional phase drop that is present in the frequency response of the open-loop audio-susceptibility transfer function when the converter shows a significant blanking time. The existing models of the PSFB converter do not contemplate the delay and gain differences associated to voltage drop produced in the leakage inductor of the transformer. The small-signal model proposed in this paper is based on the combination of two types of analysis: the first analysis consists of obtaining a small-signal model using the average modeling technique and the second analysis consists of studying the natural response of the power converter. The dynamic modeling of the Phase-Shifted Full-Bridge converter, including the random delay, has been validated by simulations and experimental test.

2019 ◽  
Vol 28 (04) ◽  
pp. 1950063
Author(s):  
Jianguang Ma ◽  
Xueye Wei ◽  
Liang Hu ◽  
Junhong Zhang

This paper proposes a small-signal modeling method for building an LLC half-bridge resonant converter. In recent years, the LLC half-bridge resonant converter has attracted the attention of many researchers because of its high-power conversion efficiency and high-power density. Generally, the LLC half-bridge resonant converter consists of many passive components, including stray and parasitic elements, resulting in a high-order system. Because the fundamental harmonic approximation (FHA) method for an LLC resonant converter only considers the fundamental harmonic and neglects higher harmonics, it is not accurate and introduces large errors in a higher-order system. In this paper, according to the operation principle of the LLC half-bridge resonant converter, a small-signal model is established. Based on the small-signal model, the input-to-output and control-to-output transfer function is derived. The experimental result verified that the proposed model yields a high accuracy, thereby highlighting the usefulness and versatility of the proposed model over other existing models.


2014 ◽  
Vol 2014 ◽  
pp. 1-6 ◽  
Author(s):  
Faqiang Wang ◽  
Jing Li ◽  
Xikui Ma

Negative-output KY Boost converter, which can obtain the negative output voltage and could be driven easily, is a good topology to overcome traditional Boost and Buck-Boost converters and it is believed that this converter will be widely used in engineering applications in the future. In this study, by using the averaging method and geometrical technique, the average and small signal model of the negative-output KY Boost converter are established. The DC equilibrium point and transfer functions of the system are derived and analyzed. Finally, the effectiveness of the established model and the correctness of the theoretical analysis are confirmed by the circuit experiment.


2020 ◽  
Vol 30 (4) ◽  
pp. 1-5
Author(s):  
Shaozhe Zhang ◽  
Zhenglei Wang ◽  
Qinying Liu ◽  
Jianfeng Xie ◽  
Houxiu Xiao ◽  
...  

Energies ◽  
2020 ◽  
Vol 13 (24) ◽  
pp. 6685
Author(s):  
Mojtaba Nasiri ◽  
Saleh Mobayen ◽  
Behdad Faridpak ◽  
Afef Fekih ◽  
Arthur Chang

In recent years, due to the several advantages of permanent magnet synchronous generator (PMSG), the number of wind farms utilizing this technology has been significantly grown. The determination of the failure mechanism in these devices is the major challenge which has been addressed in many studies. Particularly, response to grid code compliance by wind power in the voltage drop situation needs to be comprehensively analyzed. In this paper, a small signal model of a PMSG-based wind turbine for low voltage ride-through (LVRT) and suitable for stability and artificial intelligent studies is presented. Accordingly, the generator side converter controls the dc-link voltage, and the maximum power point tracking is performed by the grid side converter. Given the proposed model, the speed of the simulation for stability analysis studies can be significantly increased by intelligent methods. Furthermore, the simplified approach can be achieved for calculating the optimal coefficients of the proportionality-integral controller by intelligent methods in a short time. By simulating the proposed small-signal model and comparing it with the block-based simulation in MATLAB/SIMULINK software, the appropriate accuracy and efficiency of the proposed model are confirmed.


2010 ◽  
Vol 40-41 ◽  
pp. 293-297
Author(s):  
Dian Li Hou ◽  
Qing Fan Zhang

By circuit averaging method, a small-signal model is derived from push-pull forward topology which works in Continuous Conduction Mode (CCM). Dynamic large-signal model, DC circuit model and small-signal model are derived. The effect of leakage inductance on push-pull forward topology is analyzed and simulated in detail.


2020 ◽  
Vol 96 (3s) ◽  
pp. 330-336
Author(s):  
А.А. Калентьев ◽  
А.А. Попов ◽  
Д.В. Билевич ◽  
И.М. Добуш ◽  
А.Е. Горяинов ◽  
...  

Показаны результаты разработки алгоритма построения малосигнальной модели GaAs pHEMT-транзистора. Алгоритм реализован в виде плагина для САПР СВЧ-устройств NI AWR Design Environment. Алгоритм представляет собой комбинацию различных методик построения малосигнальных моделей. Он позволяет получить модели СВЧ-транзисторов в автоматическом режиме непосредственно в САПР. Экспериментальные исследования показали хорошее совпадение модели, полученной прямой экстракцией, с результатами измерений. The paper highlights the results of developing a GaAs pHEMT small-signal modeling algorithm. The algorithm has been implemented in the microwave EDA NI AWR Design Environment. The algorithm is a combination of the different techniques for small-signal model extraction. It allows automatically getting the microwave transistor model directly in the EDA. Experimental studies have shown a good agreement between directly extracted model and measurements results.


Energies ◽  
2019 ◽  
Vol 12 (24) ◽  
pp. 4806
Author(s):  
Jia Yao ◽  
Kewei Li ◽  
Kaisheng Zheng ◽  
Alexander Abramovitz

Switched inductor (SI) converters are popular in applications requiring a steeper conversion ratio. However, these converters operate a twin inductor switching cell, which complicates the small-signal modeling. This paper proposes an expeditious small-signal analysis method to model the SI converters. The offered modeling approach is hinged on the analogy existing between the SI converters and certain Tapped Inductor (TI) converters. It is suggested here that by virtue of the analogy of the SI converters and TI converters the small-signal model of the SI converter is identical to that of its ideal TI counterpart. Hence, the recently developed Tapped Inductor Switcher (TIS) methodology can be applied to the modeling of the SI converters as well. As an example, the small-signal model of the Switched Inductor Buck converter is obtained. Theoretical analysis was confirmed by simulation and experimental results. In addition, several other SI converters and their TI counterparts are identified.


2020 ◽  
Author(s):  
Hongyang Zhang ◽  
xiongfei wang ◽  
östlund stefan

The stability of grid-connected voltage source converters (VSCs) is commonly studied by the small-signal model in the synchronous reference (dq) frame. With phase-locked loop dynamic from VSCs, it is inevitable to convert the small-signal model to a common dq frame. When linearizing the frame transformation, the trigonometric functions of the angle are approximated by first-order terms. In this letter, the limitation of such linearization on the dq-transformation is discussed. The accuracy of the model, in presence of phase jumps and frequency variations, are examined. It is found that even under small phase jumps, mismatches are found between the small-signal model (SSM) and a nonlinear model (NM). It is further revealed that during the dynamics of frequency variation, significant mismatches can occur between the SSM and the NM.


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