NSGA-III Based Trajectory Optimization for Landing in Planetary Pits

Shao Guo, Runqi Chai

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Exploring the moon has always been a popular topic among researchers. With the discovery of pits on the moon, researchers have another different option to further explore the moon. But landing in the lunar pits will be much more difficult than landing on the moon's surface. To solve this problem, the paper proposes an NSGA-III based spacecraft trajectory optimization method for landing in planetary pits based on the discretization of the original problem. Firstly, according to the discretization model of the original problem, the chromosome of each individual is initialized into a fixed-length thrust sequence, so that we can then apply a randomly generated thrust sequence to calculate the path of each individual. Then, an NSGA-III based spacecraft landing trajectory optimization method is proposed to optimize the fuel consumption and the landing speed by improving the thrust provided by the engine along the landing path. In addition, the CV-first non-dominated sorting method is adopted to ensure the feasibility of the solution obtained by the method. Finally, the simulation of the proposed method is performed and the results show its efficiency and feasibility in solving pit landing trajectory optimization problems.

Original languageEnglish
Title of host publication2023 42nd Chinese Control Conference, CCC 2023
PublisherIEEE Computer Society
Pages9271-9276
Number of pages6
ISBN (Electronic)9789887581543
DOIs
Publication statusPublished - 2023
Event42nd Chinese Control Conference, CCC 2023 - Tianjin, China
Duration: 24 Jul 202326 Jul 2023

Publication series

NameChinese Control Conference, CCC
Volume2023-July
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference42nd Chinese Control Conference, CCC 2023
Country/TerritoryChina
CityTianjin
Period24/07/2326/07/23

Keywords

  • Multi-objective Trajectory Optimization
  • NSGA-III
  • Pits Landing

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