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。
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 multi-objective 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.