Multi-objective optimization of parachute triggering algorithm for Mars exploration

被引：5
|
作者：
Zhang, Qingbin [1 ]
Feng, Zhiwei [1 ]
Zhang, Mengying [1 ]
Chen, Qingquan [1 ]
机构：
[1] Natl Univ Def Technol, Coll Aerosp Sci & Engn, Changsha 410073, Peoples R China
来源：
ADVANCES IN SPACE RESEARCH | 2020年 / 65卷 / 05期
基金：
中国国家自然科学基金;
关键词：
Entry; Descent and landing (EDL); Mars re-entry; Multi-objective optimization; Parachute triggering algorithm; ENTRY; DESCENT;
D O I：
10.1016/j.asr.2019.12.008
中图分类号：
V [航空、航天];
学科分类号：
08 ; 0825 ;
摘要：
A multi-objective optimization procedure to design parachute triggering algorithm, based on Monte Carlo analysis of flight uncertainties, has been developed in this paper. Most of Mars explorations missions utilize parachute for a safe descent through the lowest of the atmosphere. The parachute triggering algorithm is designed to accommodate the range of off-nominal entry trajectories, and is aimed to parachute opening in certain range of Mach numbers, dynamic pressure and altitude. Our novel algorithm takes the fight uncertainty into the account through Monte Carlo analysis, selects maximization of altitude statistical mean and minimization of Mach number statistical mean as two objectives, then employs multi-objective evolutionary algorithm based on decomposition (MOEA/D), to search the Pareto-front framework. Such a methodology can be implemented on the future design of entry, descent, and landing (EDL) mission. (C) 2019 COSPAR. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码：1367 / 1374
页数：8
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