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

doi:10.12305/j.issn.1001-506X.2024.02.33

系统工程与电子技术 ›› 2024, Vol. 46 ›› Issue (2): 692-702.doi: 10.12305/j.issn.1001-506X.2024.02.33

• 制导、导航与控制 • 上一篇

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

贺杨超¹, 李炯², 邵雷²^,*, 周池军², 雷虎民²

1. 空军工程大学研究生院, 陕西西安 710051
2. 空军工程大学防空反导学院, 陕西西安 710051

收稿日期:2022-12-06 出版日期:2024-01-25 发布日期:2024-02-06
通讯作者: 邵雷
作者简介:贺杨超 (1999—), 男, 博士研究生, 主要研究方向为再入滑翔目标轨迹预测、轨迹跟踪、智能算法
李炯 (1980—), 男, 副教授, 博士, 主要研究方向为再入滑翔目标轨迹预测、轨迹跟踪、空天拦截器制导控制与仿真
邵雷 (1982—), 男, 副教授, 博士, 主要研究方向为再入滑翔目标轨迹预测、轨迹跟踪、空天拦截器制导控制与仿真
周池军 (1988—), 男, 讲师, 博士, 主要研究方向为再入滑翔目标轨迹预测、轨迹跟踪、飞行器控制系统设计
雷虎民 (1960—), 男, 教授, 博士, 主要研究方向为再入滑翔目标轨迹预测、空天拦截器制导控制与仿真
基金资助:
国家自然科学基金(62173339)

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

Yangchao HE¹, Jiong LI², Lei SHAO²^,*, Chijun ZHOU², Humin LEI²

1. Graduate College, Air Force Engineering University, Xi'an 710051, China
2. Air and Missile Defense College, Air Force Engineering University, Xi'an 710051, China

Received:2022-12-06 Online:2024-01-25 Published:2024-02-06
Contact: Lei SHAO

摘要/Abstract

摘要：

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。

关键词: 预测校正算法, 自适应横程走廊, 禁飞区有效映射横程

Abstract:

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.

Key words: predictor-corrector algorithm, adaptive cross-range corridor, effective mapping cross range of no-fly zone

中图分类号:

V448.235

贺杨超, 李炯, 邵雷, 周池军, 雷虎民. 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[J]. 系统工程与电子技术, 2024, 46(2): 692-702.

Yangchao HE, Jiong LI, Lei SHAO, Chijun ZHOU, Humin LEI. Improved predictor-corrector algorithm of reentry gliding vehicle based on adaptive cross-range corridor[J]. Systems Engineering and Electronics, 2024, 46(2): 692-702.

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算例	Δφ_f/rad	Δφ_f/rad	Δh_f/km	χ_f/rad	E/km
算例1	-0.016	-0.015	-0.078	0.005	2.420
算例2	0.009	-0.047	0.611	3.138e-4	5.363
算例3	-0.003	-0.039	0.086	-4.987e-5	4.346

规避距离	指标	Δφ_f/(°)	Δφ_f/(°)	Δh_f/km	E/km	F
d=1.6r	横程走廊	-0.003	-0.037	-0.062	4.160	7
d=1.6r	航迹偏差角走廊	-0.028	0.007	-0.063	3.226	8
d=1.7r	横程走廊	-0.017	-0.009	0.116	2.142	7
d=1.7r	航迹偏差角走廊	-0.008	-0.031	0.088	3.596	7
d=1.8r	横程走廊	-0.036	0.026	0.475	4.952	6
d=1.8r	航迹偏差角走廊	-0.027	0.007	0.424	3.067	6
d=1.9r	横程走廊	-0.022	-0.055	1.110	6.722	5
d=1.9r	航迹偏差角走廊	-0.023	-0.036	1.016	4.839	5
d=2.0r	横程走廊	-0.081	0.355	2.260	40.51	4
d=2.0r	航迹偏差角走廊	-0.082	0.305	2.175	35.21	4
由式(42)决定	自适应横程走廊	-0.003	-0.039	0.086	4.346	5

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

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