• DocumentCode
    3863577
  • Title

    Performance improvement in boost dc-dc converters using feedforward compensation

  • Author

    A. Gonnet;S. Gomez Jorge;C. Busada;J. Solsona

  • Author_Institution
    UTN, Facultad Regional Bah?a Blanca, Argentina
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper proposes a control strategy for the boost dc-dc converter that combines a sliding mode control law with feedforward compensation techniques. The main objective is the improvement of the system´s performance in presence of perturbations. In particular, the case where the converter is loaded with a constant current type load and supplied from a slow varying voltage source is considered. To avoid increasing the number of required sensors, the signals necessary to implement the feedforward compensation are obtained using virtual sensors. Simulation results are presented in order to show the improved performance of the converter with the proposed strategy.
  • Keywords
    "Feedforward neural networks","Sensors","Hafnium","DC-DC power converters","Sliding mode control","System performance","Simulation"
  • Publisher
    ieee
  • Conference_Titel
    Information Processing and Control (RPIC), 2015 XVI Workshop on
  • Type

    conf

  • DOI
    10.1109/RPIC.2015.7497073
  • Filename
    7497073