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USV集群对正态分布目标的拦截任务筹划: 布阵设计、方案实现与概率计算

王晓玲 徐英杰 徐伟辰 刘浏 苏厚胜

王晓玲, 徐英杰, 徐伟辰, 刘浏, 苏厚胜. USV集群对正态分布目标的拦截任务筹划: 布阵设计、方案实现与概率计算. 自动化学报, xxxx, xx(x): x−xx doi: 10.16383/j.aas.c250669
引用本文: 王晓玲, 徐英杰, 徐伟辰, 刘浏, 苏厚胜. USV集群对正态分布目标的拦截任务筹划: 布阵设计、方案实现与概率计算. 自动化学报, xxxx, xx(x): x−xx doi: 10.16383/j.aas.c250669
Wang Xiao-Ling, Xu Ying-Jie, Xu Wei-Chen, Liu Liu, Su Hou-Sheng. Interception mission planning of USV swarms for normally distributed targets: deployment design, scheme implementation and probability calculation. Acta Automatica Sinica, xxxx, xx(x): x−xx doi: 10.16383/j.aas.c250669
Citation: Wang Xiao-Ling, Xu Ying-Jie, Xu Wei-Chen, Liu Liu, Su Hou-Sheng. Interception mission planning of USV swarms for normally distributed targets: deployment design, scheme implementation and probability calculation. Acta Automatica Sinica, xxxx, xx(x): x−xx doi: 10.16383/j.aas.c250669

USV集群对正态分布目标的拦截任务筹划: 布阵设计、方案实现与概率计算

doi: 10.16383/j.aas.c250669 cstr: 32138.14.j.aas.c250669
基金项目: 国家自然科学基金(62522313, 62425602, 62473207, 62273159)资助
详细信息
    作者简介:

    王晓玲:南京邮电大学自动化学院教授. 主要研究方向为多智能体系统协同控制, 不确定系统分布式状态估计, 及其在无人集群系统中的应用. E-mail: xiaolingwang@njupt.edu.cn

    徐英杰:南京邮电大学自动化学院硕士研究生. 主要研究方向为无人艇集群协同控制. E-mail: yingjiexu0010@163.com

    徐伟辰:华中科技大学人工智能与自动化学院博士研究生. 主要研究方向为不确定系统分布式状态估计及其在无人集群系统中的应用. E-mail: d202581687@hust.edu.cn

    刘浏:南京邮电大学通信与信息工程学院教授. 主要研究方向为无人控制系统, 机器视觉. E-mail: LiuLiu@njupt.edu.cn

    苏厚胜:华中科技大学人工智能与自动化学院教授, 主要研究方向为多智能体协同控制及其在自主机器人和移动传感器网络中的应用. 本文通信作者. E-mail: houshengsu@gmail.com

Interception Mission Planning of USV Swarms for Normally Distributed Targets: Deployment Design, Scheme Implementation and Probability Calculation

Funds: Supported by the National Natural Science Foundation of China (62522313, 62425602, 62473207, 62273159)
More Information
    Author Bio:

    WANG Xiao-Ling Professor at the College of Automation, Nanjing University of Posts and Telecommunications. Her research interests include coordinated control of multi-agent systems, distributed state estimation of uncertain systems, and their applications for unmanned swarm systems

    XU Ying-Jie Master student at the College of Automation, Nanjing University of Posts and Telecommunications. His main research interest is coordinated control of USV swarms

    XU Wei-Chen Ph.D. candidate at the School of Artificial Intelligence and Automation, Huazhong University of Science and Technology. His research interests include distributed state estimation of uncertain systems and its application for unmanned swarm systems

    LIU Liu Professor at the School of Communications and Information Engineering, Nanjing University of Posts and Telecommunications. His research interests include unmanned control systems and machine vision

    SU Hou-Sheng Professor at the School of Artificial Intelligence and Automation, Huazhong University of Science and Technology. His research interests include multi-agent coordination control and its applications to autonomous robotics and mobile sensor networks. Corresponding author of this paper

  • 摘要: 移动目标出现的时空信息不确定性为水面无人艇(USV)集群拦截带来巨大挑战. 针对出现位置服从正态分布、出现时间服从均匀分布的水面移动目标, 开展USV集群对这类移动目标的拦截任务筹划研究. 首先, 在USV集群的布阵设计阶段, 结合目标出现位置的正态分布特性, 提出USV集群“非均匀”布阵设计方案, 生成与目标出现位置的正态分布特性相匹配的优化拦截线; 其次, 分别通过预设时间控制、领导者—跟随者控制等关键技术, 实现USV集群入阵、定速跟踪以及协同撤收, 三者共同完成USV集群对移动目标的拦截控制; 最后, 根据正态分布概率密度函数特性, 给出该拦截方案下USV集群对该类移动目标拦截概率的解析表达式. 研究表明, 该方案能显著应对目标出现的时空不确定性, 显著提升了对该类移动目标的拦截效能.
  • 图  1  USV集群拦截布阵设计

    Fig.  1  Interception deployment design for USV swarms

    图  2  路径优化

    Fig.  2  Path optimization

    图  3  路径描述

    Fig.  3  Path description

    图  4  第$ i $艘USV在$ t_p=30 $s时各个变量的收敛轨迹示意图

    Fig.  4  Schematic diagram of the convergence trajectories of the state variables for the $ i $-th USV at the prescribed time $ t_p=30 $s

    图  5  在控制算法(11)和(14)作用下, USV集群位置的连续仿真时间快照

    Fig.  5  The successive simulation time snapshots of the positions of the USV swarm under control algorithms(11) and (14)

    图  6  随机采样序列

    Fig.  6  Stochastic sampling sequence

    图  7  图6所示随机采样序列下, 各个从艇与母艇的位姿误差

    Fig.  7  Pose errors between the leader and each follower USV under the Stochastic sampling sequence in fig.6

    图  8  图6所示随机采样序列下, 各个从艇与母艇的速度误差

    Fig.  8  Velocity errors between the leader and each follower USV under the Stochastic sampling sequence in fig.6

    图  9  USV集群与移动目标的相对运动示意图

    Fig.  9  Schematic diagram of the relative motion between the USV swarm and the moving target

    图  10  第$ i $艘USV完成一次完整往返巡逻的相对探测区域

    Fig.  10  The relative detection area of the $ i $-th USV completing one full round-trip patrol

    图  11  拦截概率式(31)的仿真验证

    Fig.  11  Verification on the interception probability given in (31)

    图  12  非均匀布阵、均匀布阵和随机布阵下的拦截概率

    Fig.  12  Interception probability under non-uniform, uniform and random deployment

    表  1  USV动力学参数

    Table  1  Dynamic parameters of USV

    参数 符号 数值 单位
    纵荡一阶阻尼 $ X_u $ −0.72 kg/s
    纵荡二阶阻尼 $ X_{u|u|} $ −1.62 kg/m
    横漂一阶阻尼 $ Y_v $ −0.86 kg/s
    横漂二阶阻尼 $ Y_{v\left|v\right|} $ −56.30 kg/m
    艏摇角一阶阻尼 $ N_r $ −1.90 kg·m2/s
    艏摇角二阶阻尼 $ N_{r|r|} $ −6.40 kg·m2
    下载: 导出CSV

    表  2  各USV巡逻一周到达起始入阵点位的时刻(s)

    Table  2  The time when each USV returns to its starting point after one patrol cycle(s)

    第1次第2次第3次
    USV1$ t_0 = 30 $ s$ t_1 = 101.4 $ s$ t_2 = 172.8 $ s
    USV2$ t_0 = 30 $ s$ t_1 = 101.4 $ s$ t_2 = 172.8 $ s
    USV3$ t_0 = 30 $ s$ t_1 = 101.4 $ s$ t_2 = 172.8 $ s
    USV4$ t_0 = 30 $ s$ t_1 = 101.4 $ s$ t_2 = 172.8 $ s
    下载: 导出CSV
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