Black-box modeling of DC-DC converters based on transient response analysis and parametric identification methods

Today, ¿black-box¿ behavioral models of power converters are becoming interesting for system-level analysis. These models can be used to evaluate the response of power electronics systems which are composed of commercial converters, since they can be fully parameterized by analyzing the actual converter response. In this paper a new identification method of ¿black box¿ models for DC-DC converters is presented. This method is based on the analysis of the step transient response of the converter, which is obtained by means of simple experiments. The identification of the model is carried out using well established fitting algorithms, which can be applied using commercial tools.

[1]  J.A. Cobos,et al.  Modeling and simulation requirements for the analysis and design of DC distributed power electronic systems , 2008, 2008 11th IEEE International Power Electronics Congress.

[2]  P. Zumel,et al.  New Nonlinear Dynamic "Grey Box" Behavioral Modeling and Identification of Voltage Mode Controlled Buck Derived DC-DC Converters , 2009, 2009 Twenty-Fourth Annual IEEE Applied Power Electronics Conference and Exposition.

[3]  Lennart Ljung,et al.  System Identification: Theory for the User , 1987 .

[4]  Dushan Boroyevich,et al.  Black-Box Terminal Characterization Modeling of DC-to-DC Converters , 2007, APEC 07 - Twenty-Second Annual IEEE Applied Power Electronics Conference and Exposition.

[5]  Mehrdad Ehsani,et al.  Aircraft power systems: technology, state of the art, and future trends , 2000 .

[6]  O. Nelles.  Nonlinear System Identification , 2001 .

[7]  F. Wang,et al.  Polytopic black-box modeling of dc-dc converters , 2008, 2008 IEEE Power Electronics Specialists Conference.

[8]  B. Fahimi,et al.  Applications of power electronics-based systems in vehicular technology: state-of-the-art and future trends , 2004, 2004 IEEE 35th Annual Power Electronics Specialists Conference (IEEE Cat. No.04CH37551).

[9]  J.A. Ortega,et al.  Moving towards a more electric aircraft , 2007, IEEE Aerospace and Electronic Systems Magazine.

[10]  Pedro Alou Cervera,et al.  Hybrid Wiener-Hammerstein Structure for Grey-Box Modeling of DC-DC Converters , 2009, APEC 2009.

[11]  Fred C. Lee,et al.  Modeling and analysis of spacecraft power systems , 1988 .

[12]  P. Zumel,et al.  Easy Modeling and Identification Procedure for "Black Box" Behavioral Models of Power Electronics Converters with Reduced Order Based on Transient Response Analysis , 2009, 2009 Twenty-Fourth Annual IEEE Applied Power Electronics Conference and Exposition.

[13]  Y. Panov,et al.  Practical issues of input/output impedance measurements in switching power supplies and application of measured data to stability analysis , 2005, Twentieth Annual IEEE Applied Power Electronics Conference and Exposition, 2005. APEC 2005..

[14]  F. Wang,et al.  Un-terminated frequency response measurements and model order reduction for black-box terminal characterization models , 2008, 2008 Twenty-Third Annual IEEE Applied Power Electronics Conference and Exposition.

[15]  Jose A. Cobos,et al.  Behavioral modeling of multi-output DC-DC converters for large-signal simulation of distributed power systems , 2006 .

[16]  J.A. Cobos,et al.  Behavioral modeling of dc-dc converters for large-signal simulation of distributed power systems , 2006, Twenty-First Annual IEEE Applied Power Electronics Conference and Exposition, 2006. APEC '06..

[17]  Dushan Boroyevich,et al.  System-Level Black-Box Dc-to-Dc Converter Models , 2009, 2009 Twenty-Fourth Annual IEEE Applied Power Electronics Conference and Exposition.

[18]  D. Boroyevich,et al.  Synthesis and Integration of Future Electronic Power Distribution Systems , 2007, 2007 Power Conversion Conference - Nagoya.

[19]  Yucai Zhu,et al.  Multivariable System Identification For Process Control , 2001 .

[20]  Alex Simpkins,et al.  System Identification: Theory for the User, 2nd Edition (Ljung, L.; 1999) [On the Shelf] , 2012, IEEE Robotics & Automation Magazine.

[21]  V. Varoli,et al.  Two-part characterization of PWM voltage regulators at low frequencies , 1988 .