• DocumentCode
    1841192
  • Title

    Approximate novel loss formulae estimation for optimization of power controller of DC/DC converter

  • Author

    Shahin, A. ; Payman, A. ; Martin, J.-P. ; Pierfederici, S. ; Meibody-Tabar, F.

  • Author_Institution
    INPL, Nancy-Univ., Nancy, France
  • fYear
    2010
  • fDate
    7-10 Nov. 2010
  • Firstpage
    373
  • Lastpage
    378
  • Abstract
    This paper presents the analysis and the implementation of a digital voltage power based controller with adaptive loss estimation algorithm. An improved controller of DC/DC boost converter relies on the estimation of all types of the losses which occur in the converter was proposed. The controller use estimating method to estimate the power losses of the converter and converts the losses into two parts, serial and parallel resistances which are used for the reference trajectories. The algorithm is theoretically analyzed, developed and compared with the experimental results for improving the convergence speed and accuracy of the control loop. Mathematical modeling is carried out giving careful consideration to all the significant features and dependant parameters, namely, core hysteresis and eddy current loss, conduction ohmic losses and switching losses of semiconductors. Experimental results allow validating the proposed controller and the estimation losses for an acceptable error nearly 10% and maximum efficiency 93.5%.
  • Keywords
    DC-DC power convertors; eddy current losses; optimisation; power control; power system parameter estimation; DC-DC boost converter; conduction ohmic losses; core hysteresis; eddy current loss; loss formulae estimation; optimization; power controller; switching losses; Converters; Insulated gate bipolar transistors; Magnetic cores; Mathematical model; Resistance; Semiconductor diodes; Switches;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IECON 2010 - 36th Annual Conference on IEEE Industrial Electronics Society
  • Conference_Location
    Glendale, AZ
  • ISSN
    1553-572X
  • Print_ISBN
    978-1-4244-5225-5
  • Electronic_ISBN
    1553-572X
  • Type

    conf

  • DOI
    10.1109/IECON.2010.5674999
  • Filename
    5674999