Lunar soft landing trajectory optimization methods

Author

Zhiyuan Li ; Hongjue Li

Author_Institution

Dept. of Inf. Eng., Guilin Univ. of Aerosp. Technol., Guilin, China

fYear

2014

Firstpage

1

Lastpage

4

Abstract

A mathematical model of optimal lunar soft landing problem is given and several common lunar soft landing trajectory optimization methods based on minimum fuel consumption, including Minimum Principle, Ant Colony Optimization method, Genetic Algorithm and Gauss Pseudospectral method are summarized. Solving steps of different methods are discussed and compared. All optimization methods can meet the constraint requirements and accuracy requirements of lunar soft landing trajectory optimal problem. Simultaneously, different optimization methods has different advantages in solving the problem.

Keywords

aerospace control; ant colony optimisation; entry, descent and landing (spacecraft); genetic algorithms; minimum principle; space vehicles; trajectory optimisation (aerospace); Gauss pseudospectral method; accuracy requirements; ant colony optimization method; constraint requirements; genetic algorithm; lunar soft landing trajectory optimization methods; mathematical model; minimum fuel consumption; minimum principle; optimal lunar soft landing problem; Ant Colony Optimization method; Gauss Pseudospectral method; Genetic Algorithm; Minimum Principle; soft landing;

fLanguage

English

Publisher

iet

Conference_Titel

Cyberspace Technology (CCT 2014), International Conference on

Print_ISBN

978-1-84919-928-5

Type

conf

DOI

10.1049/cp.2014.1365

Filename

7106864