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
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;
Conference_Titel :
Pulsed Power Conference, 2007 16th IEEE International
Print_ISBN :
978-1-4244-0913-6
Electronic_ISBN :
978-1-4244-0914-3
DOI :
10.1109/PPPS.2007.4651929