• DocumentCode
    3150752
  • Title

    Dynamic model of PEM fuel cell with fuzzy logic controller

  • Author

    Saha, A.K. ; Chowdhury, S.P. ; Chowdhury, S. ; Song, Y.H.

  • Author_Institution
    Jadavpur Univ., Kolkata
  • fYear
    2007
  • fDate
    4-6 Sept. 2007
  • Firstpage
    753
  • Lastpage
    757
  • Abstract
    With the present global scenario of electricity generation, distribution and meeting the consumer demand, fuel cell power generation technology is gaining importance on its own way as it has many advantages like less environmental pollution, high efficiency, cleanliness and safe operation. Several research works have been done in this area of power generation. In this paper, a dynamic model of a proton exchange membrane (PEM) fuel cell (FC) has been developed and the dynamic behaviors are studied. PEMFC has been chosen due its low operating temperature and little start-up time that is suitable for stationary applications like residential and transportation uses. This model uses fuzzy logic controller to replace conventional proportional-integral (PI) controller. Fuzzy logic control is used to the fuel flow to the reformer of the fuel cell system. The dynamic behavior of the fuel cell system with both the types of controllers i.e. FLC and PI are studied and compared. It is observed that the FLC functions as well as a PI controller and enhances the performance of the FC system. The dynamic behavior of the system is found to be more improved as compared with the PI controller system.
  • Keywords
    PI control; control system synthesis; fuel cell power plants; fuzzy control; power generation control; power generation reliability; proton exchange membrane fuel cells; PEM fuel cell; cleanliness; consumer demand; electricity distribution; electricity generation; environmental pollution; fuel cell power generation technology; fuel flow; fuzzy logic controller; proportional-integral controller; proton exchange membrane fuel cell; Biomembranes; Control systems; Energy consumption; Fuel cells; Fuzzy logic; Pi control; Pollution; Power generation; Proportional control; Protons; distributed energy resources; fuel cell; fuzzy logic controller; modulation index; reformer;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Universities Power Engineering Conference, 2007. UPEC 2007. 42nd International
  • Conference_Location
    Brighton
  • Print_ISBN
    978-1-905593-36-1
  • Electronic_ISBN
    978-1-905593-34-7
  • Type

    conf

  • DOI
    10.1109/UPEC.2007.4469044
  • Filename
    4469044