Possibilities of obtaining small-signal models of DC-to-DC power converters by means of system identification

2002 ◽  
Author(s):  
B. Johansson ◽  
M. Lenells
Keyword(s):  
System Identification ◽  
Power Converters ◽  
Small Signal ◽  
Dc Power ◽  
Signal Models

Actuator circuits for the Complete Small Signal Characterization of DC/DC Power Converters

EPE Journal ◽  
2012 ◽  
Vol 22 (1) ◽  
pp. 13-19
Author(s):  
Marco Riva ◽  
Davide Giustina Della ◽  
Federico Belloni
Keyword(s):  
Power Converters ◽  
Small Signal ◽  
Dc Power ◽  
Signal Characterization

Averaged models of pulse-modulated DC-DC power converters. Part II. Models based on the separation of variables

2012 ◽  
Vol 61 (4) ◽  
pp. 633-654 ◽  
Author(s):  
Włodzimierz Janke
Keyword(s):  
Power Converters ◽  
Averaging Method ◽  
Separation Of Variables ◽  
Small Signal ◽  
Large Signal ◽  
Dc Power ◽  
Switch Mode ◽  
Standard Models ◽  
Averaged Models ◽  
The Ideal

Abstract The separation of variables approach to formulate the averaged models of DC-DC switch-mode power converters is presented in the paper. The proposed method is applied to basic converters such as BUCK, BOOST and BUCK-BOOST. The ideal converters or converters with parasitic resistances, working in CCM and in DCM mode are considered. The models are presented in the form of equation systems for large signal, steady-state and small-signal case. It is shown, that the models obtained by separation of variables approach differ in some situations from standard models based on switch averaging method.

Equivalent circuits for averaged description of DC-DC switch-mode power converters based on separation of variables approach

2013 ◽  
Vol 61 (3) ◽  
pp. 711-723 ◽  
Author(s):  
W. Janke
Keyword(s):  
Power Converters ◽  
Circuit Simulation ◽  
Separation Of Variables ◽  
Equivalent Circuits ◽  
Small Signal ◽  
Large Signal ◽  
Dc Power ◽  
Measurement Results ◽  
Switch Mode ◽  
Averaged Models

Abstract Large-signal and small-signal averaged models of basic switch-mode DC-DC power converters: BUCK (step-down) and BOOST (step-up) are presented. Models are derived with the separation of variables approach and have the form of equivalent circuits, suitable for a circuit simulation. Apart from equivalent circuits, small-signal transmittances of converters for CCM and DCM modes are discussed. Parasitic resistances of all components of converters are taken into account. A few examples of simulations and measurement results of selected converter characteristics are also presented. It is shown, that neglecting parasitic resistances (often met in works of other authors) may lead to serious errors in an averaged description of converters.

scholarly journals Stochastic Control for DC–DC Power Converters: A Generalized Minimum Variance Control Approach

2020 ◽  
Vol 53 (2) ◽  
pp. 13410-13417
Author(s):  
Kevin E. Lucas ◽  
Daniel J. Pagano ◽  
Douglas A. Plaza ◽  
David Alejandro Vaca—Benavides ◽  
Sara J. Ríos
Keyword(s):  
Stochastic Control ◽  
Power Converters ◽  
Minimum Variance ◽  
Control Approach ◽  
Minimum Variance Control ◽  
Dc Power

scholarly journals Embedded PWM Predictive Control of Dc-Dc Power Converters via Piecewise-Affine Neural Networks

2021 ◽  
pp. 1-1
Author(s):  
Emilio Tanowe Maddalena ◽  
Martin W. F. Specq ◽  
Viviane Louzada Wisniewski ◽  
Colin Neil Jones
Keyword(s):  
Neural Networks ◽  
Predictive Control ◽  
Power Converters ◽  
Piecewise Affine ◽  
Dc Power

scholarly journals Applications of the generalized state-space averaging method to modelling of DC–DC power converters

2012 ◽  
Vol 18 (3) ◽  
pp. 243-260 ◽  
Author(s):  
Phurich Ngamkong ◽  
Pijit Kochcha ◽  
Kongpan Areerak ◽  
Sarawut Sujitjorn ◽  
Kongpol Areerak
Keyword(s):  
State Space ◽  
Power Converters ◽  
Averaging Method ◽  
Dc Power ◽  
Generalized State Space ◽  
Generalized State
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