1. 南京理工大学 能源与动力工程学院, 江苏 南京 210094
2. 中国兵器工业导航与控制技术研究所, 北京 100089
*邮箱: changsijiang@126.com
收稿:2022-04-29,
网络出版:2023-09-06,
纸质出版:2023-08-30
移动端阅览
黄嘉, 常思江, 陈琦, 等. 不依赖剩余飞行时间的数据驱动攻击时间控制导引律[J]. 兵工学报, 2023,44(8):2299-2309.
Jia HUANG, Sijiang CHANG, Qi CHEN, et al. Data-Driven-Based Impact Time Control Guidance Law Independent of Time-to-Go[J]. Acta Armamentarii, 2023, 44(8): 2299-2309.
黄嘉, 常思江, 陈琦, 等. 不依赖剩余飞行时间的数据驱动攻击时间控制导引律[J]. 兵工学报, 2023,44(8):2299-2309. DOI: 10.12382/bgxb.2022.0324.
Jia HUANG, Sijiang CHANG, Qi CHEN, et al. Data-Driven-Based Impact Time Control Guidance Law Independent of Time-to-Go[J]. Acta Armamentarii, 2023, 44(8): 2299-2309. DOI: 10.12382/bgxb.2022.0324.
针对导弹的攻击时间控制问题
基于比例导引法和数据驱动方法设计出一种不依赖剩余飞行时间信息的两阶段攻击时间控制导引律。第1阶段为攻击时间控制阶段
在比例导引法框架下仿真构建弹道倾角与导弹飞行状态之间的关系数据集
利用神经网络方法离线训练出相应的映射网络模型
根据该映射网络可在导弹飞行过程中实时解算攻击时间对应的理想弹道倾角
导引指令将控制实际弹道倾角收敛至该理想弹道倾角;第2阶段则直接采用比例导引法
最终实现导弹攻击时间控制。不同条件下的仿真结果验证了该导引律的可行性和有效性
与现有同类导引律相比
所设计导引律对攻击时间的控制精度更高、所需控制能量更少。理论分析表明
该导引律可通过更换映射网络推广至攻击角度控制。
To solve the problem of missile impact time control
a two-stage impact time control guidance law is designed based on proportional navigation guidance and the data-driven method
which is independent of time-to-go information. The first stage is the impact time control stage. The relationship data set between the flight path angle and the flight state of the missile is constructed by simulation under the framework of proportional navigation guidance method
and then the corresponding mapping network model is trained offline by using the neural network method. According to the mapping network
the ideal flight path angle corresponding to the impact time can be calculated in real time during missile flight
and the guidance command will control the actual flight path angle converging to the ideal one. In the second stage
the proportional navigation guidance law is directly applied
and the missile impact time control is finally realized. The simulation results under different conditions verify the feasibility and effectiveness of the proposed guidance law. Compared with the existing similar guidance laws
the proposed one can control the impact time with higher precision and less control energy. In addition
the theoretical analysis shows that the guidance law can be extended to impact angle control by changing the mapping network.
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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 ): 322215 . DOI: 10.7527/S1000-6893.2018.22215 http://doi.org/10.7527/S1000-6893.2018.22215 针对带有攻击时间和终端攻击角度约束的导弹制导问题,设计了一种基于最优误差动力学的时间角度控制制导律,并给出了明确的性能指标。推导广义最优角度控制制导律作用下的剩余飞行时间估算表达式,在广义最优角度控制制导律的基础上增加攻击时间误差反馈项,将攻击时间误差看做跟踪误差,设计的制导律使跟踪误差以最优模式在有限时间内收敛到零,最终实现攻击时间和终端攻击角度的共同控制。对不同参数下的情况进行仿真,验证了所提制导律的有效性。
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 ): 322215 . (in Chinese) DOI: 10.7527/S1000-6893.2018.22215 http://doi.org/10.7527/S1000-6893.2018.22215 To solve the missile guidance with constraints of impact time and terminal impact angle, a time and angle control guidance law based on optimal error dynamics is designed, and a definite performance index is given. The expression of time to go estimation under generalized optimal angle control guidance law is derived. To reach zero tracking error in the finite time with the optimal convergence pattern, the designed guidance law adds the feedback of impact time error to the generalized guidance law of optimal angle control and considers the impact time error as the tracking error, achieving the joint control of the impact time and the terminal impact angle. The effectiveness of the proposed guidance law is validated through numerical simulations under different conditions.
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 http://doi.org/10.2514/1.G001167 https://arc.aiaa.org/doi/10.2514/1.G001167 https://arc.aiaa.org/doi/10.2514/1.G001167
陈升富 , 常思江 , 吴放 . 带有视场角约束的滑模攻击时间控制制导律 [J ] . 兵工学报 , 2019 , 40 ( 4 ): 777 - 787 . DOI: 10.3969/j.issn.1000-1093.2019.04.013 http://doi.org/10.3969/j.issn.1000-1093.2019.04.013 为提高攻击时间控制制导律的鲁棒性和工程适应性,以弹目拦截几何关系为基础,采用滑模技术设计了一种带导引头视场角约束的无奇点攻击时间控制制导律。通过Lyapunov理论证明了该制导律的稳定性和收敛性。理论分析及仿真结果表明:当攻击时间误差变为0 s时,该制导律可演变成纯比例导引律,末端需用过载变化平缓、命中点处为0 g;所设计制导律可有效实现静止目标拦截、多导弹协同攻击等场合的攻击时间控制。
CHEN S F , CHANG S J , WU F . A sliding mode guidance law for impact time control with field of view constraint [J ] . Acta Armamentarii , 2019 , 40 ( 4 ): 777 - 787 . (in Chinese) DOI: 10.3969/j.issn.1000-1093.2019.04.013 http://doi.org/10.3969/j.issn.1000-1093.2019.04.013 To improve the robustness and engineering adaptability of the impact time control guidance law, a nonsingular impact time control guidance law with seeker's field of view constraint is designed using sliding mode technique based on the geometrical relation of projectile interception. The stability and convergence of the proposed guidance law are proved by Lyapunov theory. The theoretically analyzed and simulated results show that, when the impact time error is zero, the proposed guidance law can evolve into a pure proportional navigation guidance law, and the required terminal acceleration of the proposed guidance law is fairly smooth, converging to zero during interception. The proposed guidance law can be used to effectively control the impact time for stationary target interception and multi-missile cooperative attack. Key
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余跃 , 王宏伦 . 基于深度学习的高超声速飞行器再入预测校正容错制导 [J ] . 兵工学报 , 2020 , 41 ( 4 ): 656 - 669 . DOI: 10.3969/j.issn.1000-1093.2020.04.005 http://doi.org/10.3969/j.issn.1000-1093.2020.04.005 针对故障条件下高超声速飞行器的容错制导问题,提出一种基于深度学习的预测校正容错制导算法。在纵向制导律设计中,求解故障下满足配平要求的攻角剖面和升力、阻力系数;构建并训练输入端包含升力、阻力系数变化量的深度神经网络来预测落点,以避免传统预测校正制导算法中大量的积分运算;侧向制导采用基于航向角误差走廊的倾侧角反转逻辑;构造扩张状态观测器对气动参数变化量进行估计,实时输入深度神经网络。仿真结果表明,所设计的容错制导算法制导精度高、实时性好,且在故障和参数摄动条件下能实时解算出满足飞行要求的制导指令。
YU Y , WANG H L . Deep learning-based reentry predictor-corrector fault-tolerant guidance for hypersonic vehicles [J ] . Acta Armamentarii , 2020 , 41 ( 4 ): 656 - 669 . (in Chinese) DOI: 10.3969/j.issn.1000-1093.2020.04.005 http://doi.org/10.3969/j.issn.1000-1093.2020.04.005 A deep learning-based predictor-corrector fault-tolerant guidance method is proposed for fault-tolerant guidance of hypersonic vehicles. In the design of longitudinal guidance law, the trimmable angle of attack profile and the coefficients of lift and drag in case of fault are calculated. A deep neural network which inputs contain variations of lift and drag coefficients is developed to predict landing point, thus avoiding large quantities of integral operations in traditional predictor-corrector guidance method. A bank angle reversal logic based on heading angle error corridor is designed for the lateral guidance. Extended state observer is constructed to estimate the variations of lift and drag coefficients, and the estimates are input into the deep neural network. Simulated result shows that the proposed fault-tolerant guidance algorithm has high guidance precision and excellent real-time characteristics and can calculate guidance command which meets flight requirements in real time. Key
CHENG L , JIANG F H , WANG Z B , et al . Multiconstrained real-time entry guidance using deep neural networks [J ] . IEEE Transactions on Aerospace and Electronic Systems , 2021 , 57 ( 1 ): 325 - 340 . DOI: 10.1109/TAES.7 http://doi.org/10.1109/TAES.7 https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=7 https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=7
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