基于数据驱动的攻击时间和攻击角度控制导引律

doi:10.12305/j.issn.1001-506X.2022.10.26

摘要/Abstract

摘要：

为了提高导弹突防能力并有效打击目标, 对同时实现攻击时间和攻击角度控制的导引律进行了研究。基于一种以数据驱动为核心的方法, 将导引过程分为第一阶段攻击时间控制和第二阶段攻击角度控制。根据攻击角度控制导引律生成驱动数据, 采用人工神经网络技术建立了剩余飞行时间映射网络, 据此求得攻击时间控制阶段的攻击时间误差。基于比例导引法, 利用攻击时间误差设计出攻击时间控制导引律, 从而使导弹同时实现攻击时间和攻击角度控制。仿真结果表明, 所提出的导引律在不同条件下均能有效实现攻击时间和攻击角度控制, 与现有文献相比, 最大过载减少约43%, 需用控制总能量减少约46%。

关键词: 攻击时间, 攻击角度, 数据驱动, 剩余飞行时间, 映射网络

Abstract:

In order to improve the penetration ability of missile and attack the target effectively, the guidance law realizing the control of both impact time and impact angle is studied. Based on a data-driven method, the guidance process is divided into the first stage of impact time control and the second stage of impact angle control. The driving data is generated according to the guidance law of impact angle control, and the mapping network of time to go is established by using artificial neural network technology to obtain the error of impact time in the impact time control stage. Based on the proportional guidance method, the impact time control guidance law is designed with the error of impact time, so that the missile can control the impact time and the impact angle simultaneously. The simulation results show that the proposed guidance law can effectively control the impact time and impact angle under different conditions. Compared with existing literature, the maximum overload is reduced by about 43%, and the total control energy required is reduced by about 46%.

Key words: impact time, impact angle, data-driven, time to go, mapping network

中图分类号:

TJ765

黄嘉, 常思江. 基于数据驱动的攻击时间和攻击角度控制导引律[J]. 系统工程与电子技术, 2022, 44(10): 3213-3220.

Jia HUANG, Sijiang CHANG. Data-driven method based impact time and impact angle control guidance law[J]. Systems Engineering and Electronics, 2022, 44(10): 3213-3220.

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参考文献 31

1	TSALIK R , SHIMA T . Circular impact-time guidance[J]. Journal of Guidance, Control, and Dynamics, 2019, 42 (8): 1836- 1847. doi: 10.2514/1.G004074
2	TEKIN R , ERER K S , HOLZAPFEL F . Impact time control with generalized-polynomial range formulation[J]. Journal of Guidance, Control, and Dynamics, 2018, 41 (5): 1188- 1193.
3	WANG P Y , GUO Y N , MA G F , et al. New differential geometric guidance strategies for impact-time control problem[J]. Journal of Guidance, Control, and Dynamics, 2019, 42 (9): 1982- 1992. doi: 10.2514/1.G004229
4	WANG J W , ZHANG R . Terminal guidance for a hypersonic vehicle with impact time control[J]. Journal of Guidance, Control, and Dynamics, 2018, 41 (8): 1789- 1797.
5	CHO D , KIM H J , TAHK M J . Nonsingular sliding mode guidance for impact time control[J]. Journal of Guidance, Control, and Dynamics, 2016, 39 (1): 61- 68. doi: 10.2514/1.G001167
6	RYOO C K , CHO H , TAHK M J . Optimal guidance laws with terminal impact angle constraint[J]. Journal of Guidance, Control, and Dynamics, 2005, 28 (4): 724- 732. doi: 10.2514/1.8392
7	LIN L G , XIN M . Impact angle guidance using state-dependent (differential) riccati equation: unified applicability analysis[J]. Journal of Guidance, Control, and Dynamics, 2020, 43 (11): 2175- 2182. doi: 10.2514/1.G005244
8	郭佳晖, 蒋滨安, 田宗浩. 带有攻击角和视场角约束的制导炮弹导引律设计[J]. 系统工程与电子技术, 2021, 43 (4): 1050- 1056.
	GUO J H , JIANG B A , TIAN Z H . Guidance law design of guided projectile with impact angle and field-of-view constraints[J]. Systems Engineering and Electronics, 2021, 43 (4): 1050- 1056.
9	LI H Y , WANG J , HE S M , et al. Nonlinear optimal impact-angle-constrained guidance with large initial heading error[J]. Journal of Guidance, Control, and Dynamics, 2021, 44 (9): 1663- 1676. doi: 10.2514/1.G005868
10	LEE C H , SEO M G . New insights into guidance laws with terminal angle constraints[J]. Journal of Guidance, Control, and Dynamics, 2018, 41 (8): 1828- 1833.
11	LEE J I , JEON I S , TAHK M J . Guidance law to control impact time and angle[J]. IEEE Trans.on Aerospace and Electronic Systems, 2007, 43 (1): 301- 310. doi: 10.1109/TAES.2007.357135
12	ERER K S , TEKIN R . Impact time and angle control based on constrained optimal solutions[J]. Journal of Guidance, Control, and Dynamics, 2016, 39 (10): 2445- 2451.
13	李斌, 林德福, 何绍溟, 等. 基于最优误差动力学的时间角度控制制导律[J]. 航空学报, 2018, 39 (11): 157- 167.
	LI B , LIN D F , HE S M , et al. Time and angle control guidance law based on optimal error dynamics[J]. Acta Aeronautica et Astronautica Sinica, 2018, 39 (11): 157- 167.
14	ZHANG Y A , WANG X L , MA G X . Impact time control guidance law with large impact angle constraint[J]. Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, 2015, 229 (11): 2119- 2131. doi: 10.1177/0954410014568466
15	ZHANG Y A , MA G M , LIU A L . Guidance law with impact time and impact angle constraints[J]. Chinese Journal of Aeronautics, 2013, 26 (4): 960- 966. doi: 10.1016/j.cja.2013.04.037
16	CHEN Y D , WANG J N , SHAN J Y , et al. Cooperative guidance for multiple powered missiles with constrained impact and bounded speed[J]. Journal of Guidance, Control, and Dynamics, 2021, 44 (4): 825- 840. doi: 10.2514/1.G005578
17	吴放, 常思江. 攻击时间和攻击角度控制的非奇异终端滑模制导律[J]. 哈尔滨工业大学学报, 2021, 53 (6): 93- 103.
	WU F , CHANG S J . Nonsingular terminal sliding mode guidance law of impact time and impact angle control[J]. Journal of Harbin Institute of Technology, 2021, 53 (6): 93- 103.
18	CHEN X T , WANG J Z . Sliding-mode guidance for simultaneous control of impact time and angle[J]. Journal of Guidance, Control, and Dynamics, 2019, 42 (2): 392- 401.
19	KUMAR S R, GHOSE D. Impact time and angle control guidance[C]//Proc. of the AIAA Guidance, Navigation, and Control Conference, 2015.
20	HU Q L , HAN T , XIN M . New impact time and angle guidance strategy via virtual target approach[J]. Journal of Guidance, Control, and Dynamics, 2018, 41 (8): 1755- 1765. doi: 10.2514/1.G003436
21	TEKIN R , ERER K S . Impact time and angle control against moving targets with look angle shaping[J]. Journal of Guidance, Control, and Dynamics, 2020, 43 (5): 1020- 1025. doi: 10.2514/1.G004762
22	张友安, 梁勇, 刘京茂, 等. 基于轨迹成型的攻击角度与时间控制[J]. 航空学报, 2018, 39 (9): 143- 151.
	ZHANG Y A , LIANG Y , LIU J M , et al. Trajectory reshaping based impact angle and time control[J]. Acta Aeronautica et Astronautica Sinica, 2018, 39 (9): 143- 151.
23	FERNANDEZ E C , SANZ L P , GARCIA J M C , et al. Conflict-free trajectory planning based on a data-driven conflict-resolution model[J]. Journal of Guidance, Control, and Dynamics, 2017, 40 (3): 615- 627. doi: 10.2514/1.G000691
24	SINGH V , WILLCOX K E . Methodology for path planning with dynamic data-driven flight capability estimation[J]. Journal of Guidance, Control, and Dynamics, 2017, 55 (8): 2727- 2738.
25	IZZO D , OZTURK E . Real-time guidance for low-thrust transfers using deep neural networks[J]. Journal of Guidance, Control, and Dynamics, 2021, 44 (2): 315- 327. doi: 10.2514/1.G005254
26	SANCHEZ C S , IZZO D . Real-time optimal control via deep neural networks: study on landing problems[J]. Journal of Guidance, Control, and Dynamics, 2018, 41 (5): 1122- 1135. doi: 10.2514/1.G002357
27	HE S , SHIN H S , TSOURDOS A . Computational missile guidance: a deep reinforcement learning approach[J]. Journal of Aerospace Information Systems, 2021, 18 (8): 571- 582.
28	曾庆华, 董荣华, 皮术武. 基于最优制导模板的神经网络预测制导方法[J]. 国防科技大学学报, 2014, 36 (1): 137- 141.
	ZENG Q H , DONG R H , PI S W . Neural network predictive guidance method based on pattern of optimal guidance[J]. Journal of National University of Defense Technology, 2014, 36 (1): 137- 141.
29	LI Q C , ZHANG W S , HAN G , et al. Finite time convergent wavelet neural network sliding mode control guidance law with impact angle constraint[J]. International Journal of Automation and Computing, 2015, 12 (6): 588- 599.
30	CHENG L , JIANG F H , WANG Z B , et al. Multiconstrained real-time entry guidance using deep neural networks[J]. IEEE Trans.on Aerospace and Electronic Systems, 2021, 57 (1): 325- 340.
31	GUO Y H , LI X , ZHANG H J , et al. Data-driven method for impact time control based on proportional navigation guidance[J]. Journal of Guidance, Control, and Dynamics, 2020, 43 (5): 955- 966.

序号	攻击时间/s	攻击角度/(°)	攻击时间误差/s	攻击角度误差/(°)
1	-	－30	-	0.000 1
2	45	－30	0.145	0.000 5
3	50	－30	0.025	0.000 2
4	55	－30	0.045	0.003 7
5	60	－30	0.078	0.001 9

序号	攻击时间/s	攻击角度/(°)	攻击时间误差/s	攻击角度误差/(°)
1	45	0	0.007	0.006
2	45	30	0.018	0.004
3	45	60	0.092	0.001
4	55	－60	0.022	0.001
5	55	－90	0.025	0.003

序号	控制导引律	攻击角度/(°)	加速度极值绝对值/(m/s²)	总控制能量/(m²/s³)
1	本文	－30	23.56	5.06×10³
2	文献[18]	－30	41.27	9.33×10³
3	本文	－65	14.87	3.54×10³
4	文献[18]	－65	17.24	3.70×10³

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