基于自适应横程走廊的再入滑翔飞行器改进预测校正算法

Improved predictor-corrector algorithm of reentry gliding vehicle based on adaptive cross-range corridor

针对再入滑翔飞行器(reentry gliding vehicle,RGV)预测校正制导算法中规避逻辑和制导逻辑相分离的问题,提出了一种基于自适应横程走廊的融合算法。首先,通过飞行器侧向运动轨迹与禁飞区的相交关系,动态引入规避逻辑;同时,提出禁飞区有效映射横程来量化影响飞行轨迹的禁飞区区域;最后,设计自适应横程走廊,动态调整走廊边界,控制倾侧角的翻转,实现规避逻辑和侧向制导逻辑的融合。仿真结果表明,在本文方法下,飞行器可以针对不同情况的禁飞区实现有效制导,对再入扰动具有一定的鲁棒性,并与制导逻辑和规避逻辑分离设计的算法相比,在保证制导精度的同时,具备更少的倾侧角翻转次数。

In view of the problem of the separation of avoidance logic and guidance logic in predictor-corrector guidance algorithm for reentry gliding vehicle(RGV),a fusion algorithm based on adaptive cross-range corridor is proposed.Firstly,the avoidance logic is dynamically introduced,through the intersection relationship between the lateral motion trajectory of the aircraft and the no-fly zone.At the same time,the effective mapping range of the no-fly zone is proposed to quantify the no-fly zone area that affects the flight path.Finally,the adaptive cross-range corridor is designed to dynamically adjust the corridor boundary,control the overturn of the pitch angle,realizing the integration of the avoidance logic and the lateral guidance logic.Simulation results show that the aircraft can achieve effective guidance for different no-fly zones under the method,with certain robustness to reentry disturbance,and have less times of roll angle turnover while ensuring guidance accuracy than the algorithm designed by the separation of guidance logic and avoidance logic.