航空学报2025，Vol.46Issue(1)：71-85,15.DOI:10.7527/S1000-6893.2024.30471
基于融合代理策略的超声速降落伞气动优化设计
Optimization shape design of capsule-supersonic parachute system based on fusion surrogate strategy
摘要
Abstract
Supersonic parachutes,as crucial aerodynamic deceleration systems providing drag and stability,directly impact the success of lander missions.The structural parameters of parachutes that meet different aerodynamic per-formance requirements are often contradictory.To address the issues of structural parameter conflicts in the shape de-sign of Mars parachutes,as well as the errors of lengthy design cycles and high calculation,this study proposes a fu-sion surrogate optimization strategy for the two-body model of the canopy-capsule system.The fusion surrogate model integrates the advantages of interpolation-based and regression-based surrogate models,and achieves higher predic-tion accuracy of aerodynamic coefficients under the same sample conditions.By employing the fusion surrogate model to replace the time-consuming Computational Fluid Dynamics(CFD)calculation process,the design cycle can be shortened,and design efficiency can be improved.The two-body model of the capsule-DGB parachute is optimized using a multi-objective genetic algorithm.The results show that the fusion surrogate optimization strategy can balance the drag and stability performance of the canopy,and enhance the overall deceleration capability of the disk-gap-band parachute under structural parameters and aerodynamic constraints,demonstrating good practicality and feasibility.The research findings can provide theoretical reference and technical reserves for the design and development of a new generation of supersonic parachutes for future Mars exploration missions.关键词
融合策略/火星降落伞/优化设计/代理模型/超声速Key words
fusion strategy/Mars parachute/optimization design/surrogate model/supersonic分类
航空航天引用本文复制引用
姜璐璐,潘鑫,蒋伟,冯瑞,陈刚..基于融合代理策略的超声速降落伞气动优化设计[J].航空学报,2025,46(1):71-85,15.基金项目
国家自然科学基金(92371201,52192633,9215230) （92371201,52192633,9215230）
陕西省自然科学基金(2022JC-03) National Natural Science Foundation of China(92371201,52192633,9215230) （2022JC-03）
Natural Science Foundation of Shaanxi Province(2022JC-03) （2022JC-03）
