• DocumentCode
    3200511
  • Title

    The Fuzzy PID Control Research on Direct Methanol Fuel Cell

  • Author

    Chen, Yu ; Wang, Liu-fang ; Cao, Ling-zhi ; Li, Chun-Wen

  • Author_Institution
    Key Lab. of Inf. Electr. Apparatus in Henan Province, Zhengzhou, China
  • Volume
    3
  • fYear
    2010
  • fDate
    11-12 May 2010
  • Firstpage
    815
  • Lastpage
    818
  • Abstract
    Direct methanol fuel cell is a complex nonlinear system, which is difficult to establish accurate mathematical model and control. In this article, we use state-space model to analyze this system. In terms of application, we make use of multi-variable fuzzy control theory and design a parameter adaptive fuzzy PID controller to solve some problems such as time variation and uncertainty in system control. Finally, we use Matlab software to simulate it, and the simulation results show that the control system solution can improve the performance of DMFC, and this solution is reasonable and effective.
  • Keywords
    adaptive control; direct methanol fuel cells; fuzzy control; multivariable control systems; state-space methods; three-term control; Matlab software; adaptive fuzzy PID controller; complex nonlinear system; direct methanol fuel cell; multivariable fuzzy control theory; state-space model; Application software; Control systems; Fuel cells; Fuzzy control; Mathematical model; Methanol; Nonlinear control systems; Nonlinear systems; Programmable control; Three-term control; Direct methanol fuel cell; Fuzzy control; PID control; State space model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4244-7279-6
  • Electronic_ISBN
    978-1-4244-7280-2
  • Type

    conf

  • DOI
    10.1109/ICICTA.2010.391
  • Filename
    5523117