• DocumentCode
    2249257
  • Title

    Optimization design of PID controllers for PEMFC with reformer using genetic algorithm

  • Author

    Chen, Hung-Cheng ; Tzeng, Sin-yuan ; Chen, Po-hung

  • Author_Institution
    Dept. of Electr. Eng., Nat. Chin-Yi Univ. of Technol., Taichung, Taiwan
  • Volume
    6
  • fYear
    2010
  • fDate
    11-14 July 2010
  • Firstpage
    2990
  • Lastpage
    2995
  • Abstract
    This paper deals with the optimal design of PID controllers for a proton exchange membrane fuel cell (PEMFC). The dynamic model of the PEMFC with reformer is firstly presented. The inlet hydrogen flow is supplied by reformer and the oxygen flow is supplied by air or pure oxygen according to the hydrogen-oxygen flow ratio. The partial pressures of hydrogen and oxygen are then transformed based on the mole conservation principle. Moreover, we design the PID controllers, which are installed for controlling PEMFC and reformer, using genetic algorithm (GA) to achieve better transient and steady-state performances of PEMFC.
  • Keywords
    genetic algorithms; proton exchange membrane fuel cells; three-term control; PEMFC; PID controllers; air; genetic algorithm; hydrogen-oxygen flow ratio; optimization design; proton exchange membrane fuel cell; pure oxygen; reformer; Anodes; Biomembranes; Cathodes; Equations; Fuel cells; Mathematical model; Optimization; Genetic algorithm; PEMFC; PID; Reformer;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4244-6526-2
  • Type

    conf

  • DOI
    10.1109/ICMLC.2010.5580735
  • Filename
    5580735