近空间飞行器固体火箭助推器/助推弹道总体设计优化

Design Optimization of Solid Rocket Booster Based on Hybrid Particle Swarm Optimization Algorithm for NSV

研究一种近空间飞行器的固体火箭助推器/助推弹道总体优化问题。在选定喷管构型、推进剂、壳体材料、绝热层材料及药柱结构的前提下,建立包含热力学分析与计算、质量分析与计算、气动力分析与计算和弹道设计与计算的系统分析模型,采用一种基于可行性规则与结合模拟退火的混合粒子群优化算法求解最优解。优化结果表明建立的系统分析模型和采用的优化算法能够很好地解决固体火箭助推器/助推弹道总体设计优化问题。

To serve the nonlinear programming problem which has multi-variables with constrains of Design optimization of solid rocket booster for a Near Space Vehicle（NSV）,a system analysis model including the thermodynamics analysis and calculating sub-model,the mass analysis and calculating sub-model,the aerodynamics analysis and calculating sub-model,and the trajectory design and calculating sub-model was establish under the precondition of given nozzle structural,propellant,shell materiel,adiabatic materiel and rocket motor grain structural.Than,a Hybrid Particle Swarm Optimization（HPSO）algorithm based on feasibility rule and simulated anneal was adopted to find the global best value.The result of the optimal program shows that HPSO is a ideal algorithm for the design optimization of solid rocket booster.HPSO method can improve design quality for solid rocket booster,and greatly reduce iterative times and shorten design period.