1. 北京理工大学 空天科学与技术学院, 北京 100081
2. 北京控制与电子技术研究所, 北京 100038
*lichuanjun@bit.edu.cn
收稿:2024-09-11,
网络出版:2025-08-28,
纸质出版:2025-08-31
移动端阅览
王卓峣, 李传军, 马景权, 等. 无动力滑翔飞行器集群实时协同航迹规划方法[J]. 兵工学报, 2025,46(8):240827.
Zhuoyao WANG, Chuanjun LI, Jingquan MA, et al. Real-time Coordinated Trajectory Planning Method of Unpowered Gliding Vehicle Clusters[J]. Acta Armamentarii, 2025, 46(8): 240827.
王卓峣, 李传军, 马景权, 等. 无动力滑翔飞行器集群实时协同航迹规划方法[J]. 兵工学报, 2025,46(8):240827. DOI: 10.12382/bgxb.2024.0827.
Zhuoyao WANG, Chuanjun LI, Jingquan MA, et al. Real-time Coordinated Trajectory Planning Method of Unpowered Gliding Vehicle Clusters[J]. Acta Armamentarii, 2025, 46(8): 240827. DOI: 10.12382/bgxb.2024.0827.
为了解决无动力滑翔飞行器集群飞行过程中的编队变换、末端时间约束以及末端进入角度约束的在线航迹规划应用问题
提出一种基于主弹-从弹架构的无动力滑翔飞行器集群实时协同航迹规划方法。通过解耦飞行器航迹的纵向和横向剖面
设计基于分段函数的攻角速度曲线方法
以应对无动力滑翔飞行器再入段的非线性约束。提出基于航向角随时间变化的协同控制方法
通过求解协同控制微分方程
得到无动力滑翔飞行器集群在再入段准平衡滑翔状态下满足编队变换
以及末端时间约束和目标区域进入角约束的航迹规划方案。进一步基于协同控制解析方法提出在线调整策略
以应对目标区域的实时变化
并证明该在线调整策略在线应用的可行性。仿真结果表明
该协同航迹规划方法可以在不同的飞行场景下实现在线协同航迹规划
且适用于多种协同控制方案
具有鲁棒性和实用性
能够为无动力滑翔飞行器集群的实际应用提供支持。
The trajectory planning online applications for the formation transformation
impact time and terminal entry angle constraint of unpowered gliding vehicle clusters during the re-entry phase are studied.A real-time coordinated trajectory planning method for unpowered gliding vehicle cluster based on master-slave architecture is proposed.The trajectories of the vehicles are first decoupled into longitudinal and lateral planes
and a segmented function-based angle-of-attack velocity profile method is developed to handle the nonlinear constraints encountered during the re-entry phase.A cooperative control method based on time-varying heading angles is then proposed
which involves solving differential equations to generate a trajectory that satisfies the formation transformation and the impact time and entry angle constraints under quasi-equilibrium glide conditions.An online adjustment strategy is further introduced to accommodate the real-time updates to the target area
and the feasibility of the proposed method for online application is demonstrated.Simulated results indicate that the proposed method can achieve real-time coordinated trajectory planning across various flight scenarios
thus demonstrating its robustness
adaptability to multiple cooperative control schemes
and practical applicability to unpowered gliding vehicle clusters.
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王磊 , 徐超 , 李淼 , 等 . 多飞行器协同任务分配的改进粒子群优化算法 [J ] . 兵工学报 , 2023 , 44 ( 8 ): 2224 - 2232 . DOI: 10.12382/bgxb.2022.0968 http://doi.org/10.12382/bgxb.2022.0968 为提升多飞行器编队执行任务的效率和性能,提出一种用于多飞行器协同任务分配的改进粒子群优化算法。考虑飞行器任务能力约束,飞行器执行任务时付出的威胁代价、航程代价以及完成任务的收益,从而构造问题的数学模型。将粒子的位置属性编码为一组任务分配向量,从任务分配向量可解码出对应的任务分配解,实现粒子群优化算法解的离散化。为解决粒子群优化算法容易陷入局部收敛的缺点,提出一种跳出局部收敛的策略。该策略基于模拟退火算法,生成新粒子,以一定概率决定是否保留新粒子,并将跳出局部收敛的策略应用到传统粒子群优化算法中,建立可用于多飞行器协同任务分配的改进粒子群优化算法。数字仿真实验结果表明,与现有算法相比,所提算法能显著提高多飞行器任务分配的收益和效率。
WANG L , XU C , LI M , et al . Improved particle swarm optimization algorithm for multi-aircraft collaborative task assignment [J ] . Acta Armamentarii , 2023 , 44 ( 8 ): 2224 - 2232 . (in Chinese) DOI: 10.12382/bgxb.2022.0968 http://doi.org/10.12382/bgxb.2022.0968 An improved particle swarm optimization (PSO) algorithm for multi-aircraft cooperative task assignment is proposed. The corresponding mathematical model is developed by considering the constraints of the aircraft’s capability, the threat cost, the range cost, and the benefits obtained by completing the tasks. The position attribute of particles is encoded as a set of task assignment vectors, from which we can decode the task assignment solution such that the PSO solution is discretized. In order to solve the problem that the PSO algorithm can easily fall into local convergence, a strategy of jumping out of the local convergence is proposed. Based on the simulated annealing algorithm, this strategy first generates new particles, and then decides whether to retain the new particles with a certain probability. Finally, this jumping-out strategy is applied to the conventional PSO algorithm so as to establish an improved one that can be used for multi-aircraft cooperative task assignment. The digital simulation results verify the effectiveness of the proposed algorithm.
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JIANG P , GUO D , HAN L , et al . Cooperative ballistic planning method for multi-craft re-entry time [J ] . Acta Aeronautica et Astronautica Sinica , 2020 , 41 ( S1 ): 723776 . (in Chinese) DOI: 10.7527/S1000-6893.2019.23776 http://doi.org/10.7527/S1000-6893.2019.23776 This paper presents a trajectory optimization method for the cooperative reentry of multiple hypersonic glide vehicles. First, the nominal longitudinal trajectory is planned to satisfy the path and terminal constraints. Second, the trajectory tracking law is used to track the nominal longitudinal trajectory. Meanwhile, a multi-layer bounded corridor for heading error considering the initial lateral state is proposed to control the lateral maneuver, so as to meet the requirement of arrival time and the terminal constraints. Then the trajectory planning with arrival time constraints for a single vehicle is implemented. On this basis, the arrival time distribution and the flight capability are analyzed, and the analysis and the calculation methods for the minimum and the maximum arrival time are given. For the multiple hypersonic glide vehicle cooperative reentry scenario, the cooperative flight time decision-making is completed. Finally, numerical results show that the trajectory optimization method achieves a good performance on the arrival time and the terminal constraints, which indicates that the proposed method can realize the cooperative reentry of multiple hypersonic glide vehicle. The results in dispersed cases indicate that the trajectory optimization method has good calculation accuracy and robustness.
乔浩 , 毛瑞 , 白凤科 , 等 . 带时间约束的双参数再入轨迹设计方法 [J ] . 弹箭与制导学报 , 2021 , 41 ( 3 ) : 57 - 61 . DOI: 10.15892/j.cnki.djzdxb.2021.03.013 http://doi.org/10.15892/j.cnki.djzdxb.2021.03.013 为实现再入飞行时间可控,扩展现有再入飞行器的应用场景,提高对时间敏感目标的打击能力,以双参数牛顿迭代法为基础,提出一种改进的阻力加速度剖面设计方法,通过设置双参数校正点,能够同时对轨迹长度与总飞行时间进行设计。在给定的轨迹长度与总飞行时间约束下,该方法能够快速完成参考阻力加速度剖面的迭代,生成满足各项约束的参考轨迹。通过仿真分析获得了再入总飞行时间的调节规律,为多再入飞行器的协同攻击问题提供依据。
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