Evolutionary algorithms for parameter determination of patched conic approximation

被引：1
|
作者：
Reddy, Bandi Bharat Kumar [1 ]
Kimiaghalam, Bahram [1 ]
Homaifar, Abdollah [1 ]
机构：
[1] N Carolina Agr & Tech State Univ, Dept Elect & Comp Engn, NASA, Autonomous Control & Informat Technol Ctr, Greensboro, NC 27411 USA
来源：
2005 IEEE Aerospace Conference, Vols 1-4 | 2005年
关键词：
D O I：
10.1109/AERO.2005.1559340
中图分类号：
V [航空、航天];
学科分类号：
08 ; 0825 ;
摘要：
The objective of this research is to investigate the utility of micro genetic algorithms (GA) to determine the initial conditions of a spacecraft at the point of departure from Earth's orbit to make a successful lunar landing or a lunar flyby. The states of the spacecraft at the point at the destination are then obtained using the Patched-Conic Approximation. As demonstrated in this work, faster convergence is obtained using micro genetic algorithms. This methodology can also be extended to interplanetary translation by utilizing the intermediate thrust of the spacecraft.
引用
收藏
页码：501 / 506
页数：6
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