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

Volume

2

fYear

2005

fDate

28-30 Nov. 2005

Firstpage

25

Lastpage

30

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/CIMCA.2005.1631440

Filename

1631440