高超声速飞行器时间协同再入制导

从饱和打击任务需求出发，针对多高超声速飞行器时间协同再入制导问题进行研究，提出时间可控再入制导律和协同再入制导架构，在改善现有制导律实时性、在线约束管理等性能的基础上，重点解决再入飞行时间不可知、不可控问题，最终实现时间协同再入飞行。协同再入制导结构分为两层，其中底层提出了基于神经网络的时间可控再入制导律，以实现再入飞行时间的可知性与可控性为目标；上层根据不同再入阶段特点设计相应的协调函数，生成时间协调信息。该结构适用于集中式或分布式的通讯结构，同时上层协调策略可以根据任务需要进行有针对性的设计与拓展。最后，通过仿真验证了时间可控再入制导律对时间的可控性和协同再入制导结构的有效性。

Time-coordinated reentry guidance law for hypersonic vehicle

In this paper, time-coordinated reentry guidance of multi-hypersonic vehicles is investigated in consideration of requirements of saturation attack. To solve the problem of unpredictability and uncontrollability of reentry time and achieve cooperative reentry, a new time-controlled reentry guidance law and cooperative reentry structure are proposed. The reentry guidance law improves real-time performance and constraint management capability of that of existing laws. The structure consists of two layers. To achieve the controllability and anti-interference of reentry flight time, the lower layer adopts the time-controlled reentry law based on the neural network. The upper layer generates time-coordinated information according to different coordination strategies based on characteristics of different reentry phases. The structure is suitable for centralized or distributed communication structure, and the upper coordination function can be designed and expanded according to needs of tasks. Time-controllability of the reentry guidance law and effectiveness of the reentry structure are verified by numerical simulations.