超静定捆绑火箭传力路径的组合优化策略

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。

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

To obtain the optimal design parameters of the strap-on scheme for the new generation of high-thrust 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.