A cosimulation approach to model-based design for complex power electronics and digital control systems

Bradley Oraw, Vijay Choudhary, Raja Ayyanar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

Simulation has played an important role in reducing design time and improving the reliability of power electronics systems. Over the years power electronics system diversity and complexity has grown to include subsystems which traditionally have used different modeling and simulation strategies, making the simulation of such systems difficult. This paper presents a standard simulation methodology for such complex power electronics systems based on cosimulation. This approach allows individual subsystems to be conveniently modeled in the most natural and trusted simulation environment. A simulation example of a four-phase buck converter employing digital control is provided. The power stage is modeled in Saber, and the digital controller is modeled in Simulink using the Xilinx System Generator blockset. The Saber-Simulink cosimulation is used as the interface between the two engines. Xilinx System Generator is used to automatically generate synthesizable code for Xilinx FPGAs.

Original languageEnglish (US)
Title of host publicationSummer Computer Simulation Conference 2007, SCSC'07, Part of the 2007 Summer Simulation Multiconference, SummerSim'07
Pages157-164
Number of pages8
StatePublished - 2007
EventSummer Computer Simulation Conference 2007, SCSC 2007, Part of the 2007 Summer Simulation Multiconference, SummerSim 2007 - San Diego, CA, United States
Duration: Jul 15 2007Jul 18 2007

Publication series

NameSummer Computer Simulation Conference 2007, SCSC'07, Part of the 2007 Summer Simulation Multiconference, SummerSim'07
Volume1

Other

OtherSummer Computer Simulation Conference 2007, SCSC 2007, Part of the 2007 Summer Simulation Multiconference, SummerSim 2007
Country/TerritoryUnited States
CitySan Diego, CA
Period7/15/077/18/07

Keywords

  • Automatic code generation
  • Cosimulation
  • Digital control
  • Saber
  • Simulink

ASJC Scopus subject areas

  • Modeling and Simulation

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