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基于准平衡滑翔的再入轨迹解析规划方法
引用本文:杨 明,,刘 明,,葛亚杰,杨 丁,曹晶莹.基于准平衡滑翔的再入轨迹解析规划方法[J].弹道学报,2020,32(4):20-26.
作者姓名:杨 明    刘 明    葛亚杰  杨 丁  曹晶莹
作者单位:1.国防科技大学 空天科学学院,湖南 长沙 410073; 2.空间物理重点实验室,北京 100076
摘    要:针对禁飞区等多约束条件下的再入轨迹规划问题,提出了一种基于准平衡滑翔的再入轨迹规划解析方法。纵向剖面规划中,基于准平衡滑翔条件,以航程为自变量构建了相关弹道参数(如高度、速度、阻力加速度、攻角和倾侧角等)的解析表达式,建立了高度-航程空间内的多约束飞行走廊。横向剖面规划中,采用一种基于横、纵程多次函数的解析规划方法,有效解决了对禁飞区的规避问题。上述算法将复杂的多约束再入轨迹规划问题转化为简单的解析求解,极大提高了轨迹规划速度和可靠性。基于CAV-H的仿真算例表明,提出的轨迹规划算法运行速度快,规划结果平滑,精度高,逻辑简单且易于工程实现。

关 键 词:再入飞行器  平衡滑翔  轨迹规划  解析规划

Analytical Method of Planning Reentry Trajectory viaQuasi-equilibrium Gliding Condition
YANG Ming,' target="_blank" rel="external">,LIU Ming,' target="_blank" rel="external">,GE Yajie,YANG Ding,CAO Jingying.Analytical Method of Planning Reentry Trajectory viaQuasi-equilibrium Gliding Condition[J].Journal of Ballistics,2020,32(4):20-26.
Authors:YANG Ming  " target="_blank">' target="_blank" rel="external">  LIU Ming  " target="_blank">' target="_blank" rel="external">  GE Yajie  YANG Ding  CAO Jingying
Affiliation:1.College of Aerospace Science and Engineering,National University of Defense Technology,Changsha 410073,China; 2.Science and Technology on Space Physics Laboratory,Beijing 100076,China
Abstract:For the planning problem of constrained reentry trajectory,an analytical method of planning reentry trajectory based on quasi-equilibrium gliding was proposed. In the longitudinal profile planning,based on the quasi-equilibrium gliding condition,the analytic formulations of the relevant parameters such as altitude,speed,drag acceleration,angle of attack,and tilt angle,etc.,were constructed with respect to the rest range,and the altitude-range space constrained flight corridor was established. In the horizontal profile planning,an analytic planning method based on the horizontal and vertical multiple functions was used in the effective solution of avoidance of the no-fly zone. Via the above algorithm,the complex constrained reentry trajectory planning problem can be transformed into a simple analytical calculation,which greatly improves the speed and reliability of trajectory planning. The simulation results of CAV-H show that the proposed trajectory planning algorithm is fast,smoothly,accurately and elegant,and the algorithm can be implemented easily in engineering.
Keywords:reentry vehicle  equilibrium gliding  trajectory planning  analytical planning
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