摘要
滑翔飞行器一般可在较大空域和速域范围内的多种条件下投放使用。为综合提升滑翔飞行器多投放条件下的射程,以飞行性能分析中的最大射程分析为核心,兼顾最大射程的制导控制系统设计实现问题,建立包含几何外形、气动、结构质量和飞行性能4个学科的多学科分析模型。前3个学科主要为飞行性能分析提供必要的数据支持;飞行性能学科模型则在控制系统、弹道和制导律设计基础上,采用弹道仿真进行最大射程分析。针对滑翔飞行器增程优化对满足约束的初始设计方案需求,以美国联合防区外武器为参考,设计了满足约束的初始方案。在此基础上,对初始方案进行多投放条件下飞行性能分析。结果表明:初始方案的飞行性能与联合防区外武器的实际能力接近;调用多学科分析模型用于增程优化中不同设计方案的评价,最终方案的综合射程得到一定提升。
Glide vehicles can generally be launched in a wide airspace and speed range.A multidisciplinary analysis model,including geometric modeling,aerodynamics,structural mass,and flight performance disciplines,is established to extend the flight range of glide vehicles under multiple launch conditions.In the proposed model,the maximum flight range analysis in flight performance is taken as the core,and the analysis results is achieved by designing the flight guidance control system.The first three disciplines mainly provide the necessary data for the flight performance analysis.The flight performance discipline consists of four parts:flight control system design,optimal trajectory design,guidance law design,and trajectory simulation for maximum range analysis.To give an initial feasible design for the extended range problem of glide vehicle,an initial glide vehicle that meets the design constraints is designed by using U.S.Joint Standoff Weapon(JSOW)glide vehicle as a baseline.On this basis,the flight performance of the initial glide vehicle was analyzed under multiple launch conditions,which is close to the reported capability of JSOW.The multidisciplinary analysis model is used for the performance evaluation during the multidisciplinary design optimization of glide vehicles,and the range performance of optimized glide vehicle is increased to some extent.
作者
孙一博
孟秀云
SUN Yibo;MENG Xiuyun(School of Aerospace Engineering, Beijing Institute of Technology, Beijing 100081, China)
出处
《兵工学报》
EI
CAS
CSCD
北大核心
2021年第4期781-797,共17页
Acta Armamentarii
关键词
滑翔飞行器
飞行性能分析
制导控制系统设计
轨迹优化
多学科分析与设计优化
glide vehicle
flight performance analysis
guidance and control system design
trajectory optimization
multidisciplinary analysis and design optimization