超静定捆绑火箭传力路径的组合优化策略

Combination Optimization Strategy for Load Trans-Path of Hyper-static Strap-on Launch Vehicle

为了获得新一代大推力捆绑火箭捆绑方案的最优设计参数,针对超静定捆绑传力路径进行分析与优化设计。基于PATRAN的二次开发语言PCL对超静定捆绑火箭进行了参数化建模和仿真分析,并运用拉丁超立方试验方法对传力路径设计参数进行灵敏度分析。在此基础上提出了一种多目标粒子群和序列二次规划算法的组合优化策略,确定了捆绑联接方案设计参数,实现了对捆绑联接装置和助推器结构载荷的高效优化。计算结果表明:组合优化策略能够将主捆绑联接结构的受力减少了30%左右,明显优于单独使用一种全局优化算法或局部优化算法的优化结果。本文研究成果将为新型捆绑火箭捆绑方案优化设计提供参考。

To obtain the optimal design parameters of the strap-on scheme for the new generation of highthrust strap-on launch vehicle,an optimization design and analysis method for the hyper-static strap-on load trans-path is performed.PATRAN command language（PCL）is used to construct a parameterization model and perform simulation analysis for the hyper-static strap-on launch vehicle.The Latin hypercube method is used to conduct sensitivity analysis for the design parameters as well.Based on the obove,the combination optimization strategy,containing multi-objective particle swarm（MOPSO）and sequence quadratic programming（SQP）,is proposed to achieve efficient optimization for the strap-on attachment equipment and structural loads of boosters.The results show that the combinational optimization strategy,which could decrease the main strap-on linkage structural loads by approximately 30%,is better than a global or a local optimization algorithm to be used only.The research will provide reference for the optimization design of strap-on scheme on the new-generation launch vehicle.