A unified feature parameter extraction strategy based on system identification for the Buck converter with linear or nonlinear loads

Author(s):  
Qian Shen ◽  
Lei Ren ◽  
Chunying Gong ◽  
Huizhen Wang
Author(s):  
Subhransu Padhee ◽  
Umesh Chandra Pati ◽  
Kamalakanta Mahapatra

This study provides a step-by-step analysis of closed-loop parametric system identification for DC-DC buck converter. In closed-loop parametric identification, input–output experimental data are used to estimate the transfer function coefficients of DC-DC buck converter. For system identification purpose, a high-frequency perturbation signal is injected in to the closed-loop system which acts as an input signal for identification experiment. Different input–output models such as Auto-Regressive eXogenous, Auto-Regressive Moving Average with eXogenous, output error, and Box–Jenkins are used to model the converter structure and prediction error method is used to estimate the parameters. Model validation schemes are used to validate the estimated model. Simulation and experimental analysis have been provided to validate the results obtained.


2014 ◽  
Vol 24 (3) ◽  
pp. 1-3 ◽  
Author(s):  
Houxiu Xiao ◽  
Tao Peng ◽  
Zhongyu Zhou ◽  
Liang Li

2020 ◽  
Vol 49 (5) ◽  
pp. 20190462 ◽  
Author(s):  
谷牧 Mu Gu ◽  
任栖锋 Qifeng Ren ◽  
廖胜 Sheng Liao ◽  
周金梅 Jinmei Zhou ◽  
赵汝进 Rujin Zhao

2020 ◽  
Vol 29 (13) ◽  
pp. 2050207
Author(s):  
R. Thangam ◽  
S. P. Joy Vasantha Rani

In this paper, the design of a fuzzy rule-based MDPSM controlled buck converter is analyzed. Power factor improvement and harmonic minimization for the buck converter connected through the variable load with a fuzzy rule are discussed and simulated. The MDPSM controlled converter is supplied with 230[Formula: see text]V and reaches 15[Formula: see text]V as output. The converter output, always connected with nonlinear loads, causes less power factor with more harmonics and gives less power quality. Active PFC with a fuzzy-based voltage controlled power factor controller is designed to reduce total harmonics and to raise the power factor value equal to unity. The fuzzy-based MDPSM controller was designed using MATLAB Simulink. Controller output waveforms are examined and analyzed with other controller performances. The converter is rated with 2[Formula: see text]mA, 0.5[Formula: see text]mH and 212[Formula: see text][Formula: see text]F values with output power 48[Formula: see text]W. The converter is tested for different resistive loads and inductive loads.


Energies ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4430
Author(s):  
Piotr Musznicki ◽  
Pawel B. Derkacz ◽  
Piotr J. Chrzan

The general wideband modeling method of the power converter is presented on the example of DC-DC buck converter with GaN High Electron Mobility Transistors (HEMT). The models of all basic and parasitic components are briefly described. The two methods of Printed Circuit Board (PCB) layout parameter extraction are presented. The results of simulation in Saber@Sketch simulation software and measurements are compared. Next, the model of the converter is reduced to obtain one lumped inductance of the input filter PCB for the analytical prediction of transistor turn-off ringing frequency and overvoltage. The practical use of the model is presented for sizing optimal capacitance of snubber.


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