• DocumentCode
    592363
  • Title

    Adaptive second order sliding mode control of PEM fuel cell air feed system

  • Author

    Matraji, I. ; Liu, Jiangchuan ; Laghrouche, Salah ; Wack, Maxime

  • Author_Institution
    Soc. Lab. Syst. et Transp., Inst. de Rech. sur les Transp. l´Energie, France
  • fYear
    2012
  • fDate
    10-13 Dec. 2012
  • Firstpage
    4133
  • Lastpage
    4138
  • Abstract
    In this paper, we have presented a novel cascade scheme to control the moto-compressor of a Polymer Electrolyte Membrane Fuel Cell (PEMFC). The control objective is to operate the PEMFC at its optimal power output, which is achieved by maintaining the oxygen excess ratio between 2 and 2.4. The proposed control strategy is based on two cascaded adaptive second order sliding mode controllers which regulate the compressor speed in response to oxygen excess ratio error (Fig.1). The compressor speed is determined from its position using an adaptive super twisting differentiator. The use of adaptive controllers provides better results than fixed parameter super twisting control, as it has less chattering, and better transient performance under load variations and parametric uncertainties. These results have been obtained from simulation, and have been presented in the paper. The effectiveness of this controller is evident in the results.
  • Keywords
    adaptive control; compressors; optimal control; power control; proton exchange membrane fuel cells; transient analysis; variable structure systems; PEM fuel cell air feed system; PEMFC; adaptive second order sliding mode control; adaptive super twisting differentiator; chattering; compressor speed regulation; load variation; motocompressor control; oxygen excess ratio maintainence; polymer electrolyte membrane fuel cell; transient performance; Adaptive systems; Cathodes; Fuel cells; Manifolds; Mathematical model; Principal component analysis; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2012 IEEE 51st Annual Conference on
  • Conference_Location
    Maui, HI
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-4673-2065-8
  • Electronic_ISBN
    0743-1546
  • Type

    conf

  • DOI
    10.1109/CDC.2012.6426468
  • Filename
    6426468