• DocumentCode
    1570365
  • Title

    Adjusting PID controllers coefficients to control fuel cell using genetic algorithm

  • Author

    Aghdam, H. Nasir ; Ghadimi, N. ; Ataei, A.

  • Author_Institution
    Ahar Branch, Islamic Azad Univ., Ahar, Iran
  • fYear
    2011
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In this paper, it is tried to introduce, implement and control the voltage of one of the most important fuel cells, i.e. PEMFC, during load variations. Output voltage of fuel cell should be constant during load variation. To achieve this goal, a controller should be designed. Here, the PID controller is used which its coefficients are optimized based on genetic algorithms. In order to use this algorithm, first this problem has to be formulated as an optimization problem including objective function and constraints, and then to obtain the most desirable controller, GA method is used to solve the problem. Simulation results for various loads in time domain are performed and the results show the capability of the proposed controller. Simulations show accuracy of the proposed controller performance to achieve this goal.
  • Keywords
    control system synthesis; genetic algorithms; load regulation; proton exchange membrane fuel cells; three-term control; voltage control; PEMFC; PID controller coefficient adjustment; controller design; fuel cell control; genetic algorithm; load variation; optimization problem; proton exchange membrane fuel cell; voltage control; Anodes; Cathodes; Fuel cells; Genetic algorithms; Mathematical model; Optimization; Voltage control; PEMFC; controller design; fuel cell; genetic algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Environment and Electrical Engineering (EEEIC), 2011 10th International Conference on
  • Conference_Location
    Rome
  • Print_ISBN
    978-1-4244-8779-0
  • Type

    conf

  • DOI
    10.1109/EEEIC.2011.5874645
  • Filename
    5874645