• DocumentCode
    3114483
  • Title

    Increase of the performance of a low ripple boost converter for PEM FC applications using GA and PSO algorithms

  • Author

    Marsala, G. ; Ragusa, A.

  • Author_Institution
    Ist. sui Sist. Intelligenti per l´Autom., Italy
  • fYear
    2012
  • fDate
    9-12 Oct. 2012
  • Firstpage
    908
  • Lastpage
    913
  • Abstract
    This paper deals with the optimization of the performance of a high step up dc-dc converter characterized by a low ripple in the input current. The converter with a PID control has been designed for PEM Fuel Cell application in automotive environment. In this work, an optimization of the PID control design is presented, using two heuristic methods: the Genetic and Particle Swarm Optimization algorithms. Moreover, an optimized LQR controller is designed. Then, a comparison between the PID and LQR controller, with and without optimization, is presented. Finally, the effectiveness of the two heuristic algorithms to design the two control strategies has been evaluated.
  • Keywords
    DC-DC power convertors; battery powered vehicles; control system synthesis; genetic algorithms; linear quadratic control; machine control; particle swarm optimisation; proton exchange membrane fuel cells; GA algorithms; PEM FC applications; PEM fuel cell application; PID control design optimization; PSO algorithms; automotive environment; genetic algorithms; high step up DC-DC converter; low ripple boost converter; optimized LQR controller design; particle swarm optimization; performance optimization; Matrix converters; Sociology; Stability analysis; Statistics; Time factors; Tuning; Genetic Algorithm; Optimization techniques; PEM Fuel Cell; Particle Swarm Optimization; dc-dc converter control; low ripple current;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicle Power and Propulsion Conference (VPPC), 2012 IEEE
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4673-0953-0
  • Type

    conf

  • DOI
    10.1109/VPPC.2012.6422699
  • Filename
    6422699