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北京理工大学 宇航学院, 北京 100081
Received:23 May 2022,
Published Online:06 September 2023,
Published:30 August 2023
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Ziyao WANG, Shengjing TANG, Jie GUO, et al. Adaptive 3-Dimensional Differential Game Guidance for Hypersonic Attack and Defense[J]. Acta Armamentarii, 2023, 44(8): 2342-2353.
Ziyao WANG, Shengjing TANG, Jie GUO, et al. Adaptive 3-Dimensional Differential Game Guidance for Hypersonic Attack and Defense[J]. Acta Armamentarii, 2023, 44(8): 2342-2353. DOI: 10.12382/bgxb.2022.0425.
针对高超声速拦截器精确打击高超声速机动目标的攻防博弈制导问题
提出一种基于自适应动态规划(ADP)的微分对策三维制导律。将高超声速攻防博弈三维制导问题分解在纵向平面和侧向平面分别进行制导律设计。在纵向平面内建立高超声速二人零和微分博弈问题模型
设计非二次型代价函数以满足控制约束
并通过Hamilton-Jacobi-Isaacs(HJI)方程得到高超声速拦截器和目标的微分博弈最优策略。由于HJI方程无法直接得到解析解
利用ADP方法
引入评价神经网络逼近最优代价函数
进而得到攻防博弈双方的倾侧角幅值最优指令。在侧向平面内建立平行接近倾侧角反转逻辑实现侧向制导。仿真结果表明
该制导律能够在攻防博弈双方的控制约束内
实现高超声速拦截器在高超声速目标机动躲避拦截情况下的精确打击。
A 3-dimensional (3D) differential game guidance law based on adaptive dynamic programming (ADP) is proposed to solve the attack and defense problem in hypersonic interceptors attacking hypersonic maneuvering targets. Firstly
the 3D guidance problem in hypersonic attack and defense game is decomposed into the longitudinal plane and lateral plane. Then
the problem model of a hypersonic two-person zero-sum differential game is established in the longitudinal plane. A non-quadratic cost function is designed to satisfy the control constraints. The optimal differential game strategy of the hypersonic interceptor and the target is obtained by the Hamilton-Jacobi-Isaacs (HJI) equation. Since the HJI equation can not be solved analytically
the ADP method is used and a critic neural network is introduced to approximate the optimal cost function to obtain the bank angle amplitudes of both sides. Finally
the lateral guidance is realized by establishing the bank angle reversal logic in the lateral plane by the parallel approach. The simulation results show that the guidance law can achieve precision strike by a hypersonic interceptor under the condition of a maneuvering hypersonic target avoiding interception within the control constraints of both sides of the attack and defense game.
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王鑫 , 闫杰 , 孟廷伟 . 高速目标分阶段博弈拦截制导策略研究 [J ] . 航空学报 , 2022 , 43 ( 9 ): 325598 . DOI: 10.7527/S1000-6893.2021.25598 http://doi.org/10.7527/S1000-6893.2021.25598 基于分阶段博弈模型对吸气式高超声速飞行器的拦截问题进行了研究, 提出了由两枚拦截弹组成的拦截系统的分阶段拦截方案。依据高超声速目标的机动特征将拦截过程分为两个阶段。在第1个阶段, 拦截系统依据目标运动特征及约束条件计算得到目标在预测交汇平面的可达范围和虚拟拦截点。拦截弹Ⅰ执行基于虚拟交班点的中制导以及基于广义末制导律的末制导过程。由于目标运动状态受到约束条件的限制, 使得目标在突防过程中可行范围和机动能力大幅减弱。在第2个阶段, 基于博弈理论和直觉模糊理论建立拦截弹Ⅱ-目标直觉模糊博弈模型。通过设计拦截弹-目标策略集以及多属性评估模型获得满足要求的均衡策略模型, 通过求解非线性规划问题最终使得我方拦截最终博弈获胜。通过拦截弹动态策略和固定策略的仿真对比说明所提博弈制导策略的有效性。
WANG X , YAN J , MENG T W . Research on high-speed target multi-stage interception scheme based on game theory [J ] . Acta Aeronautica et Astronautica Sinica , 2022 , 43 ( 9 ): 325598 . (in Chinese) DOI: 10.7527/S1000-6893.2021.25598 http://doi.org/10.7527/S1000-6893.2021.25598 Interception of the air-breathing hypersonic vehicle is studied based on the staged game model in this paper. The solution based on the interception system made of two interceptors are proposed. According to the maneuvering characteristics of the hypersonic target, the process of interception is divided into two stages. In the first stage, the interception system calculates the target's reachable range and virtual interception point in the predicted intersection plane according to the target's motion characteristics and constraint conditions. Interceptor Ⅰ executes mid-guidance based on the virtual handover point, and terminal guidance based on the generalized terminal guidance law. Because the movement of the target is restricted by the constraints, the feasible range and maneuvering ability of the target are greatly weakened in the penetration process. In the second stage of the interception process, the Interceptor Ⅱ-target intuitionistic fuzzy game model is established based on the game theory and the intuitionistic fuzzy theory. The equilibrium strategy model is obtained through interceptor-target strategy sets and the multi-attribute evaluation model. Our side wins the game by solving the nonlinear programming problem. Finally, the numerical results of the dynamic strategy and the fixed strategy are compared to show the effectiveness of the proposed guidance strategy.
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