• DocumentCode
    3752841
  • Title

    Fuzzy self-tuning PID controller for air supply on a PEM fuel cell system

  • Author

    Z. Baroud;M. Benmiloud;A. Benalia

  • Author_Institution
    LACoSERE laboratory, Amar Telidji University, Laghouat, Algeria
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper presents a fuzzy self-tuning PID controller for air supply on a Proton Exchange Membrane (PEM) fuel cell system. The control objective is to adjust the oxygen excess ratio at the suitable value in order to prevent oxygen starvation and damage. The proposed control scheme is separated into two parts: fuzzy tuner and classical PID controller. The parameters of PID controller are adapted by means of fuzzy tuner. Feedforward and classical PID are compared to validate the performance of the fuzzy self-tuning PID control strategy. The simulation results demonstrate that the proposed technique improves the dynamic performance of oxygen excess ratio than classical PID.
  • Keywords
    "Fuel cells","Mathematical model","Atmospheric modeling","PD control","Tuners","Oxygen","Feedforward neural networks"
  • Publisher
    ieee
  • Conference_Titel
    Electrical Engineering (ICEE), 2015 4th International Conference on
  • Type

    conf

  • DOI
    10.1109/INTEE.2015.7416690
  • Filename
    7416690