补能滑翔飞行器参数/轨迹综合优化设计  

Comprehensive optimization design of parameters and trajectory for complement glide vehicle

作　　者：宋满金 郭杰[1] 李竞元 唐胜景[1] SONG Manjin;GUO Jie;LI Jingyuan;TANG Shengjing(School of Aerospace Engineering,Beijing Institute of Technology,Beijing 100081,China;Beijing Aerospace Automatic Control Institute,Beijing 100854,China)

机构地区：[1]北京理工大学宇航学院,北京100081 [2]北京航天自动控制研究所,北京100854

出　　处：《飞行力学》2023年第4期59-66,共8页Flight Dynamics

摘　　要：针对高超声速补能滑翔飞行器总体参数/轨迹综合优化问题,提出了一种双层迭代优化方法。建立综合优化相关数学模型,外层采用自适应粒子群方法进行补能发动机总体参数优化,并改进自适应惯性权重与自适应粒子探索率提高种群收敛效率与全局搜索能力;内层采用分段高斯伪谱法将多次开关机滑翔轨迹进行分段优化处理,并设置连续性约束确保分段点处状态和控制量连续;内层优化结果反馈至外层作为种群更新适应度参考,实现双层迭代优化。仿真结果表明,双层迭代优化方法可有效求解总体参数/轨迹综合设计问题,且具有更强的全局寻优能力。For the comprehensive optimization design of parameters and trajectory for complement glide vehicle,an iterative optimization method with double layers was proposed.The mathematical model of comprehensive optimization was established.The adaptive particle swarm optimization method was used to optimize the overall parameter of the complement engine which is in the out layer of the model.The adaptive inertia weight and adaptive particle exploration rate were designed to improve the population convergence efficiency and global search ability.The multiphase Gaussian pseudospectral method was used to optimize the multi-segment glide trajectory in the inner layer.Continuity constraints were set to ensure that the state and control quantities at the segmentation points ware continuous.In order to realize double layers iterative optimization,the optimization results in inner layer were feedbacked to the outer layer as the reference of population update fitness.Simulation results show that the double layers iterative optimization method can effectively solve the problem of parameter and trajectory global design,and the global optimization ability is stronger.

关 键 词：补能滑翔飞行器 参数/轨迹综合优化 自适应粒子群优化 分段高斯伪谱法 

分 类 号：V412.4[航空宇航科学与技术—航空宇航推进理论与工程]