• DocumentCode
    3597903
  • Title

    Genetic algorithm for ion thruster grid design

  • Author

    Farnell, Cody C. ; Williams, John D.

  • Author_Institution
    Colorado State University, Department of Mechanical Engineering, 1320 Campus Delivery, Fort Collins, 80523, USA
  • Volume
    1
  • fYear
    2007
  • Firstpage
    670
  • Lastpage
    673
  • Abstract
    A genetic algorithm was used to optimize ion thruster grid sets with regard to maximizing impulse per unit area, essentially equivalent to maximizing propellant throughput capability per unit area. The genetic algorithm presented herein made use of the ffx ion optics simulation code for grid lifetime predictions. Grid sets were optimized for several combinations of net accelerating voltage and current density, and grid feature recommendations are made concerning how future missions can be met.
  • Keywords
    Acceleration; Algorithm design and analysis; Biological cells; Current density; Evolution (biology); Evolutionary computation; Genetic algorithms; Genetic mutations; Particle beam optics; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pulsed Power Conference, 2007 16th IEEE International
  • Print_ISBN
    978-1-4244-0913-6
  • Electronic_ISBN
    978-1-4244-0914-3
  • Type

    conf

  • DOI
    10.1109/PPPS.2007.4651929
  • Filename
    4651929