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
Link To Document