Formation Satellite Reconstruction Strategy Based on NSGA-II Algorithm

Aimed at the problem of avoidance strategy of formation satellites when facing the threat of space debris, a non-dominated sorting genetic algorithm (NSGA-II) is improved and used to code satellites. Besides, the improved differential evolution algorithm is used as the orbital generation model, whil...

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Autores principales:	SUN Hongqiang, ZHANG Zhanyue, FANG Yuqiang
Formato:	article
Lenguaje:	ZH
Publicado:	Editorial Office of Journal of Shanghai Jiao Tong University 2021
Materias:	formation satellites collision probability multi-objective optimization avoidance strategy Engineering (General). Civil engineering (General) TA1-2040 Chemical engineering TP155-156 Naval architecture. Shipbuilding. Marine engineering VM1-989
Acceso en línea:	https://doaj.org/article/ba26699b89e54c38a1c5edbfdca88876
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id	oai:doaj.org-article:ba26699b89e54c38a1c5edbfdca88876
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spelling	oai:doaj.org-article:ba26699b89e54c38a1c5edbfdca888762021-11-04T09:28:54ZFormation Satellite Reconstruction Strategy Based on NSGA-II Algorithm1006-246710.16183/j.cnki.jsjtu.2019.376https://doaj.org/article/ba26699b89e54c38a1c5edbfdca888762021-03-01T00:00:00Zhttp://xuebao.sjtu.edu.cn/CN/10.16183/j.cnki.jsjtu.2019.376https://doaj.org/toc/1006-2467Aimed at the problem of avoidance strategy of formation satellites when facing the threat of space debris, a non-dominated sorting genetic algorithm (NSGA-II) is improved and used to code satellites. Besides, the improved differential evolution algorithm is used as the orbital generation model, while Pareto dominance is used to select the optimal solution set. By introducing maneuver consumption, collision probability, work efficiency, and other indicators of formation satellites, the avoidance orbits of satellite are screened to ensure that all the indicators of formation satellites are taken into account. Taking the 3-satellite formation of ocean reconnaissance satellite as an example, the phase adjustment, probability calculation, and horizontal dilution of precision (HDOP) calculation models are introduced. The optimal solution of avoiding orbits is obtained by utilzing the multi-objective optimization algorithm. The simulation results show that this method can formulate a more targeted formation satellite avoidance strategy with different objectives.SUN HongqiangZHANG ZhanyueFANG YuqiangEditorial Office of Journal of Shanghai Jiao Tong Universityarticleformation satellitescollision probabilitymulti-objective optimizationavoidance strategyEngineering (General). Civil engineering (General)TA1-2040Chemical engineeringTP155-156Naval architecture. Shipbuilding. Marine engineeringVM1-989ZHShanghai Jiaotong Daxue xuebao, Vol 55, Iss 03, Pp 320-330 (2021)
institution	DOAJ
collection	DOAJ
language	ZH
topic	formation satellites collision probability multi-objective optimization avoidance strategy Engineering (General). Civil engineering (General) TA1-2040 Chemical engineering TP155-156 Naval architecture. Shipbuilding. Marine engineering VM1-989
spellingShingle	formation satellites collision probability multi-objective optimization avoidance strategy Engineering (General). Civil engineering (General) TA1-2040 Chemical engineering TP155-156 Naval architecture. Shipbuilding. Marine engineering VM1-989 SUN Hongqiang ZHANG Zhanyue FANG Yuqiang Formation Satellite Reconstruction Strategy Based on NSGA-II Algorithm
description	Aimed at the problem of avoidance strategy of formation satellites when facing the threat of space debris, a non-dominated sorting genetic algorithm (NSGA-II) is improved and used to code satellites. Besides, the improved differential evolution algorithm is used as the orbital generation model, while Pareto dominance is used to select the optimal solution set. By introducing maneuver consumption, collision probability, work efficiency, and other indicators of formation satellites, the avoidance orbits of satellite are screened to ensure that all the indicators of formation satellites are taken into account. Taking the 3-satellite formation of ocean reconnaissance satellite as an example, the phase adjustment, probability calculation, and horizontal dilution of precision (HDOP) calculation models are introduced. The optimal solution of avoiding orbits is obtained by utilzing the multi-objective optimization algorithm. The simulation results show that this method can formulate a more targeted formation satellite avoidance strategy with different objectives.
format	article
author	SUN Hongqiang ZHANG Zhanyue FANG Yuqiang
author_facet	SUN Hongqiang ZHANG Zhanyue FANG Yuqiang
author_sort	SUN Hongqiang
title	Formation Satellite Reconstruction Strategy Based on NSGA-II Algorithm
title_short	Formation Satellite Reconstruction Strategy Based on NSGA-II Algorithm
title_full	Formation Satellite Reconstruction Strategy Based on NSGA-II Algorithm
title_fullStr	Formation Satellite Reconstruction Strategy Based on NSGA-II Algorithm
title_full_unstemmed	Formation Satellite Reconstruction Strategy Based on NSGA-II Algorithm
title_sort	formation satellite reconstruction strategy based on nsga-ii algorithm
publisher	Editorial Office of Journal of Shanghai Jiao Tong University
publishDate	2021
url	https://doaj.org/article/ba26699b89e54c38a1c5edbfdca88876
work_keys_str_mv	AT sunhongqiang formationsatellitereconstructionstrategybasedonnsgaiialgorithm AT zhangzhanyue formationsatellitereconstructionstrategybasedonnsgaiialgorithm AT fangyuqiang formationsatellitereconstructionstrategybasedonnsgaiialgorithm
_version_	1718444988451258368

Formation Satellite Reconstruction Strategy Based on NSGA-II Algorithm

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