• DocumentCode
    1047451
  • Title

    Rapid Load Following of an SOFC Power System via Stable Fuzzy Predictive Tracking Controller

  • Author

    Zhang, Tiejun ; Feng, Gang

  • Author_Institution
    Dept. of Manuf. Eng. & Eng. Manage., City Univ. of Hong Kong, Kowloon
  • Volume
    17
  • Issue
    2
  • fYear
    2009
  • fDate
    4/1/2009 12:00:00 AM
  • Firstpage
    357
  • Lastpage
    371
  • Abstract
    The solid oxide fuel cell (SOFC) is widely accepted for clean and distributed power generation use, but critical operation problems often occur when the stand-alone fuel cell is directly connected to the electricity grid or the dc electric user. In order to address these problems, in this paper, a data-driven fuzzy modeling method is employed to identify the dynamic model of an integrated SOFC/capacitor system. A novel offset-free input-to-state stable fuzzy predictive controller is developed based on the obtained fuzzy model. Both the rapid power load following and safe SOFC operation requirements are taken into account in the design of the closed-loop control system. Simulations are also given to demonstrate the load following control performance of the proposed fuzzy predictive control strategy for the SOFC/capacitor power system.
  • Keywords
    closed loop systems; control system synthesis; fuel cell power plants; fuzzy control; power generation control; predictive control; solid oxide fuel cells; SOFC power system; capacitor power system; closed-loop control system; dc electric user; distributed power generation; electricity grid; offset-free input-to-state controller; rapid load following; solid oxide fuel cell; stable fuzzy predictive tracking controller; Fuel cell; fuzzy systems; identification; input-to-state stability; load following; output tracking; predictive control;
  • fLanguage
    English
  • Journal_Title
    Fuzzy Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1063-6706
  • Type

    jour

  • DOI
    10.1109/TFUZZ.2008.2011135
  • Filename
    4729597