DocumentCode :
1890023
Title :
Optimal Multiple-Impulse Time-Fixed Rendezvous Using Genetic Algorithm
Author :
Qian, Yu ; Xu, Min ; Zeng, Zhifeng ; Yan, Xunliang
Author_Institution :
Sch. of Astronaut., Northwestern Polytech. Univ., Xi´´an, China
fYear :
2010
fDate :
25-26 Dec. 2010
Firstpage :
1
Lastpage :
4
Abstract :
The rendezvous of an orbiting vehicle with a target body in another orbit can be accomplished in a specified time by two or more impulses. Aiming to solve the minimum fuel, multiple-impulse and time-fixed rendezvous problem, the genetic algorithm method is used in this paper. The genetic algorithm is a direct method for solving this constrained optimization problem that is based on natural selection, the process that drives biological evolution. The 3-impulse rendezvous and 4-impulse rendezvous, and coplanar case and noncoplanar case have been simulated. The results obtained show that, the genetic algorithm is a feasible method to solve this problem. And the results obtained can be used to perform a fixed-time, minimum fuel missions,such as space rescue operations and avoidance maneuvers.
Keywords :
constraint theory; genetic algorithms; traffic; biological evolution; constrained optimization problem; fixed-time mission; genetic algorithm; minimum fuel mission; optimal multiple-impulse time-fixed rendezvous; Gallium; Genetic algorithms; Geometry; Optimization; Orbits; Space missions; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Engineering and Computer Science (ICIECS), 2010 2nd International Conference on
Conference_Location :
Wuhan
ISSN :
2156-7379
Print_ISBN :
978-1-4244-7939-9
Electronic_ISBN :
2156-7379
Type :
conf
DOI :
10.1109/ICIECS.2010.5677868
Filename :
5677868
Link To Document :
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