• DocumentCode
    3304541
  • Title

    An Intelligent Control Strategy for Power and Voltage of PEMFC Generator

  • Author

    Zhang, Ying-ying ; Sun, Ji-chang ; Du, Li-bin ; Zhang, Ying

  • Author_Institution
    Inst. of Oceanogr. Instrum., Shandong Acad. of Sci., Qingdao
  • Volume
    4
  • fYear
    2008
  • fDate
    18-20 Oct. 2008
  • Firstpage
    458
  • Lastpage
    462
  • Abstract
    The power of PEMFC (proton exchange membrane fuel cell) generator needs to be controlled to follow the variable load demand, and the voltage also needs to be conditioned for the load use. An intelligent power and the voltage control strategy of a 60 kW PEMFC generator current researched is presented in this paper. A BP (Back propagation) neuron network including a hidden layer is used to model the inverse system of PEMFC stack power. Then the nonlinear neuron network inverse control method is used to control the generator output power. A DC/DC boost converter and a DC/AC inverter are used to condition the stack voltage, which are both controlled by single neuron PI controllers in close loops. The total control strategy for the power and the voltage of the 60 kW PEMFC generator is proved efficient and easy implement by simulation tests.
  • Keywords
    DC-AC power convertors; DC-DC power convertors; PI control; backpropagation; closed loop systems; invertors; machine control; neurocontrollers; power control; proton exchange membrane fuel cells; voltage control; DC/AC inverter; DC/DC boost converter; PEMFC generator; PEMFC stack power; backpropagation neuron network; close loops; intelligent control strategy; nonlinear neuron network inverse control method; power control; proton exchange membrane fuel cell generator; single neuron PI controllers; stack voltage; variable load demand; voltage control; Analog-digital conversion; Biomembranes; Fuel cells; Intelligent control; Inverse problems; Neurons; Power generation; Power system modeling; Protons; Voltage control; Proton Exchange Membrane Fuel Cell (PEMFC); load following; nonlinear neuron network inverse control; single neuron PI control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation, 2008. ICNC '08. Fourth International Conference on
  • Conference_Location
    Jinan
  • Print_ISBN
    978-0-7695-3304-9
  • Type

    conf

  • DOI
    10.1109/ICNC.2008.50
  • Filename
    4667325