中国机械工程

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气囊式火星着陆器稳健性优化设计

卿启湘1,2;卿翔1,2;肖久如1,2;廖惠东3   

  1. 1.湖南大学特种装备先进技术与仿真教育部重点实验室,长沙,410082
    2.湖南大学汽车车身先进设计制造国家重点实验室,长沙,410082
    3.中南林业科技大学机电工程学院,长沙,410004
  • 出版日期:2017-01-10 发布日期:2017-01-04
  • 基金资助:
    高等学校博士学科点专项科研基金资助项目(20120161130001);
    国家杰出青年科学基金资助项目(11225212);
    国家科技支撑计划资助项目(2012BAH09B02)

Robust Optimization Design of the Mars Airbag Lander

QING Qixiang1,2;QING Xiang1,2;XIAO Jiuru1,2;LIAO Huidong3   

  1. 1.The Key Laboratory of Advanced Design and Simulation Techniques for Special Equipment of MOE,Hunan University, Changsha, 410082
    2.State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Hunan University, Changsha, 410082
    3.Mechanical and Electrical Engineering, Central South University of Forestry and Technology,changsha,410004
  • Online:2017-01-10 Published:2017-01-04

摘要: 气囊式火星着陆器结构复杂,关键参数多,工况极端,不确定因素多且可靠性要求高。针对气囊式火星着陆器优化设计中的计算效率问题,采用基于超级计算平台并行分布式计算技术与稳健性优化设计理论的多目标稳健性优化方法对复杂气囊系统进行了稳健性优化设计。结果表明:超级计算平台的应用使稳健性优化的计算效率得到了显著提升;稳健优化设计后的气囊式火星着陆系统的可靠性有明显改善。

关键词: 6&sigma, 稳健性优化;气囊;超级计算平台;火星着陆器

Abstract: Mars airbag lander was a complex structure with many critical parameters, extreme environment conditions, many uncertain factors and high reliability requirements. Computational efficiency of simulation was always a bottleneck problem in the processes of optimization design for the Mars airbag landers. Based on parallel and distributed computing technologies of super computing platforms and the multiobjective robust optimization method, a robust optimization design for the complex airbag system was carried out. The results show that the applications of supercomputer platform may greatly improve the robust optimization's computational efficiency in the optimization design, and the reliability of the Mars airbag lander will be highly improved.

Key words: 6&sigma, robust design;airbag;supercomputing platform;Mars lander

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