Title :
Genetic Algorithms for Minimal Fuel Consumption of Electric Propulsion Space Vehicles
Author :
Reddy, Bandi Bharat Kumar ; Homaifar, Abdollah ; Esterline, Albert C.
Author_Institution :
Dept. of Electr. & Comput. Eng., North Carolina A&T State Univ., Greensboro, NC
Abstract :
This paper demonstrates the utility of genetic algorithms (GAs) to determine a near optimal control strategy for electric propulsion systems. The various strategies implemented are simple GA, simple GA with elitism and micro GA. The accuracy and performance of the control strategy obtained using these methods are discussed along with their detailed description. This work inherently validates the use of ionic thrust for deep space missions
Keywords :
electric propulsion; electric vehicles; fuel optimal control; genetic algorithms; space vehicles; electric propulsion space vehicles; genetic algorithm; minimal fuel consumption; optimal control strategy; Control systems; Earth; Fuels; Genetic algorithms; Moon; Nonlinear control systems; Optimal control; Planets; Propulsion; Space vehicles;
Conference_Titel :
Computational Intelligence for Modelling, Control and Automation, 2005 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference on
Conference_Location :
Vienna
Print_ISBN :
0-7695-2504-0
DOI :
10.1109/CIMCA.2005.1631440
