随着水下无人航行器（UUV）及相关技术的发展，UUV已被广泛用于执行扫雷、侦察、情报搜索及海洋探测等任务。通过多UUV编队协同，可克服单UUV探测、捕获目标能力有限、作战效能不高的弱点，以满足应对多种复杂任务需求。作为UUV编队协同关键任务之一，UUV编队协同搜索是当今水下协同研究中的一个重要方向。本文综述UUV编队协同搜索的应用研究和方法研究进展情况，分析探讨了UUV编队协同搜索面临的挑战和应用进展。研究成果对进一步发展未来水下无人集群协同具有一定参考意义。
With the development of unmanned underwater vehicle (UUV) and related technologies, UUV has been widely used to perform tasks such as mine sweeping, reconnaissance, intelligence search and ocean exploration. Through the cooperation of multiple UUV formations, the weak points of single UUV in detecting and capturing targets with limited capabilities and low operational effectiveness can be overcome to meet the requirements of dealing with multiple complex tasks. As one of the key tasks of UUV formation cooperation, UUV formation cooperative search is an important direction of underwater cooperation research. In this paper, the research progress of application and methods of UUV formation cooperative search is reviewed, and the challenges and application progress of UUV formation cooperative search are analyzed and discussed. The research results have certain reference significance for further development of underwater unmanned cluster collaboration in the future.
2024,46(2): 57-62 收稿日期：2023-01-09
DOI：10.3404/j.issn.1672-7649.2024.02.010
分类号：TP242.6
基金项目：军科委基础加强计划重点基础研究项目（2019-JCJQ-ZD-020）
作者简介：王中(1968-),男,硕士,研究员,研究方向为水中兵器总体技术
参考文献：
[1] 曹方方, 刘卫东, 李娟丽. 基于水下网络的多UUV协同作战效能评估[J]. 计算机测量与控制, 2011, 19(6): 1397-1399+1402.
CAO Fang-fang, LIU Wei-dong, LI Juan-li. Efficiency evaluation of multi-UUVs coordinated operation based on underwater network[J]. Computer Measurement& Control, 2011, 19(6): 1397-1399+1402.
[2] 陈玮, 吴泽伟, 吴晓锋. UUV协同探测的现状与发展前景[J]. 舰船电子工程, 2009, 29(2): 6-8+87.
CHEN Wei, WU Ze-wei, WU Xiao-feng. Current status and future directions of UUVs cooperation probe[J]. Ship Electronic Engineering, 2009, 29(2): 6-8+87.
[3] 张卫东, 刘笑成, 韩鹏. 水上无人系统研究进展及其面临的挑战[J]. 自动化学报, 2020, 46(5): 847-857.
ZHANG Wei-dong, LIU Xiao-cheng, HAN Peng. Progress and challenges of overwater unmanned systems[J]. ACTA Automatica Sinica, 2020, 46(5): 847-857.
[4] 刘应状, 朱耀庭, 朱光喜, 等. 机载激光水下目标探测的协同搜索及其仿真[J]. 光电子·激光, 2000(5): 511-513+517.
[5] 曲志栋, 马爱民. 自治水下机器人协同反水雷搜索策略[J]. 水雷战与舰船防护, 2007(4): 35-38.
[6] 殷翔, 李培正, 骆曹飞, 等. 基于CPSO算法的海空跨域无人航行器集群协同作业路径规划[J]. 无人系统技术, 2022, 5(1): 26-35.
YIN Xiang, LI Pei-zheng, LUO Cao-fei, et al. A cooperative path planning strategy based on CPSO algorithm for sea-air cross-domain unmanned vehicle cluster[J]. Unmanned Systems Technology, 2022, 5(1): 26-35.
[7] 王宏健, 熊伟, 陈子印, 等. 多自主水下航行器区域搜索与协同围捕方法研究[J]. 中国造船, 2010, 51(2): 117-125.
WANG Hong-jian, XIONG Wei, CHEN Zi-ying, et al. Research on methods of region searching and cooperative hunting for autonomous underwater vehicles[J]. Shipbuilding of China, 2010, 51(2): 117-125.
[8] 韦韬, 朱遴, 梁世龙. 水下无人系统集群感知与协同技术发展 [J]. 指挥控制与仿真, 2022, 44(5): 6-13.
WEI Tao, ZHU Lin, LIANG Shi-long. Research on perception and cooperation technologies for underwater unmanned system swarm[J]. Command Control&Simulation, 2022, 44(5): 6-13.
[9] 吴宇, 苏析超, 崔佳鹏, 等. USV&AUV水下目标协同搜索与打击航迹规划[J]. 控制与决策, 2021, 36(4): 825-834.
[10] CAO X, SUN H, XU X. A novel cooperative hunting algorithm for multi-auv in underwater environments[J]. International Journal of Robotics & Automation, 2020, 35(6): 425-435.
[11] LI Y, LI B, YU W, et al. Cooperative localization based multi-auv trajectory planning for target approaching in anchor-free environments[J]. Ieee Transactions on Vehicular Technology, 2022, 71(3): 3092-3107.
[12] HE S, WANG M, DAI S L, et al. Leader–follower formation control of USVs with prescribed performance and collision avoidance[J]. IEEE Transactions on Industrial Informatics, 2018, 15(1): 572-581.
[13] 陈铭. 多AUV协同路径规划方法研究 [D]. 成都: 电子科技大学, 2022.
[14] LING H, ZHU T, HE W, et al. Cooperative search method for multiple AUVs based on target clustering and path optimization[J]. Natural Computing, 2021, 20(1): 3-10.
[15] SPORYSHEV M, SCHERBATYUK A, IEEE. Reinforcement learning approach for cooperative AUVs in underwater surveillance operations[C]// Proceedings of the IEEE Underwater Technology (UT) Conference, Natl Sun Yat Sen University, Kaohsiung, Taiwan, Apr. 16-19, 2019.
[16] WANG Q, YANG J. Path planning of multiple auvs for cooperative mine countermeasure using internal spiral coverage algorithm[J]. Computer Measurement & Control, 2012, 20(1): 144-146,160.
[17] 孙毅. 面向目标搜索的多UUV协作方法研究 [D]. 哈尔滨: 哈尔滨工程大学, 2020.
[18] 何斌. 多AUV编队控制与协同搜索技术研究 [D]. 哈尔滨: 哈尔滨工程大学, 2017.
[19] 高坚, 佟明安. 编队协同对空目标探测及搜索力的最优分配[J]. 系统工程与电子技术, 2004, (3): 350-352+408.
GAO Jian, TONG Ming-an. Optimal distribution of formation cooperative air target detection and search power [J]. Systems Engineering and Electronic Technology, 2004 (3): 350-352+408.
[20] 熊伟. 多自主水下机器人目标搜索与协同围捕研究 [D]. 哈尔滨: 哈尔滨工程大学, 2008.
[21] 李娟, 张建新, 杨莉娟, 等. 未知环境下多自主水下航行器目标搜索方法 [J]. 哈尔滨工程大学学报, 2019, 40(12): 1951-1957+1972.
LI Juan, ZHANG Jian-xin, YANG Li-juan, et al. Target search method for multiple autonomous underwater vehicles in unknown environments [J]. Journal of Harbin Engineering University, 2019, 40 (12): 1951-1957+1972.
[22] 李峰. 生物启发的多机器人系统编队控制与协同搜索 [D]. 上海: 东华大学, 2017.
[23] RAJNARAYAN D G, GHOSE D, IEEE I. Multiple agent team theoretic decision-making for searching unknown environments[J]. Proceedings of the 42nd IEEE Conference on Decision and Control, Maui, HI, F 2003 Dec 9-12, 2003.
[24] HOAI AN LE T, DUC MANH N, TAO PHAM D. A DC programming approach for planning a multisensor multizone search for a target[J]. Computers & Operations Research, 2014, 41: 231-239.
[25] CAI Y, YANG S X. An improved PSO-based approach with dynamic parameter tuning for cooperative multi-robot target searching in complex unknown environments[J]. International Journal of Control, 2013, 86(10): 1720-1732.
[26] HEALEY A J, IEEE I. Application of formation control for multi-vehicle robotic minesweeping[C]// Proceedings of the 40th IEEE Conference on Decision and Control, Orlando, Dec 4−7, 2001.
[27] NIETO-GRANDA C, ROGERS J G, III, CHRISTENSEN H I. Coordination strategies for multi-robot exploration and mapping[J]. International Journal of Robotics Research, 2014, 33(4): 519-533.
[28] FERRANTI E, TRIGONI N. Practical issues in deploying mobile agents to explore a sensor-instrumented environment[J]. Computer Journal, 2011, 54(3): 309-320.
[29] 张栩. 基于神经激励网络的多AUV协同目标搜索 [D]. 哈尔滨: 哈尔滨工程大学, 2020.
[30] 邹博宇, 孙兆栋, 靳泽晟. UUV编队自适应协同跟踪控制研究 [J]. 数字海洋与水下攻防, 2021, 4(6): 485-491.
[31] 李承睿, 尹姝呓, 毛剑琳. 协同进化算法在三维路径规划中的研究 [J]. 电子测量技术, 2021, 44(11): 73-78.
[32] 郝勇帅. 基于预测控制的UUV协同在线优化搜索方法研究[D]. 哈尔滨: 哈尔滨工程大学, 2020.
[33] 张跟鹏, 刘忠, 田晓东. 基于UUV组群的水下协同探雷搜索与仿真 [J]. 兵工自动化, 2007: 62-64+67.
ZHANG Gen-peng, LIU Zhong, TIAN Xiao-dong. Search and simulation of underwater cooperative mine detection based on UUV group [J] Military Automation, 2007: 62-64+67.
[34] 王莹莹, 刘若璋, 孙骞, 等. UUV集群全局与局部融合路径规划方法 [J]. 实验技术与管理, 2022, 39(6): 43-49.
[35] 陈盼, 吴晓锋, 陈云. UUV编队协同应召搜索马尔可夫运动目标的方法 [J]. 系统工程与电子技术, 2012, 34(8): 1630-1634.
[36] 陈盼, 吴晓锋. UUV编队协同最优扩方应召搜索方法 [J]. 系统工程与电子技术, 2013, 35(5): 987-992.
[37] 张立川, 刘明雍, 徐德民, 等. 多UUV协同导航与定位研究(英文) [J]. 系统仿真学报, 2008, (19): 5342-5344+5349.
ZHANG Li-chuan, LIU Ming-yong, XU De-min, et al. Research on multi UUV collaborative navigation and positioning [J]. Journal of System Simulation, 2008, (19): 5342-5344+5349.
[38] 邹佳运, 张文清, 曲泓玥, 等. 面向水下目标搜索的USV&UUV编队协同队形规划 [J]. 无人系统技术, 2021, 4(3): 40-46.
ZOU Jia-yun, ZHANG Wen-qing, QU Hong-yue, et al. Collaborative formation planning of USV&UUV formation for underwater target search [J]. Unmanned System Technology, 2021, 4 (3): 40-46.
[39] 陶伟, 张晓霜. 国外水下无人集群应用及关键技术研究 [J]. 舰船电子工程, 2021, 41(2): 9−13+54.
TAO Wei, ZHANG Xiao-shuang. Overseas research on application and key technologies of underwater unmanned cluster [J]. Naval Electronics Engineering, 2021, 41 (2): 9−13+54.
[40] 张强. 多UUV编队路径规划与协同控制方法研究 [D]. 哈尔滨: 哈尔滨工程大学, 2020.
[41] 谢伟, 杨萌, 龚俊斌. 水下攻防对抗体系及其未来发展 [J]. 中国工程科学, 2019, 21(6): 71-79.
XIE Wei, YANG Meng, GONG Jun-bin. Underwater attack defense confrontation system and its future development [J]. China Engineering Science, 2019, 21 (6): 71-79.
[42] 王海涛, 梁镜, 单俊杰. 潜载UUV研究现状分析 [J]. 数字海洋与水下攻防, 2021, 4(5): 351-356.
[43] 王宏健, 于丹, 徐欣, 等. 非对称博弈下多UUV基地防卫协同对抗策略 [J]. 智能系统学报, 2022, 17(2): 348-359.
WANG Hong-jian, YU Dan, XU Xin, et al. Multi UUV base defense cooperative countermeasure strategy under asymmetric game [J]. Journal of Intelligent Systems, 2022, 17 (2): 348-359.
[44] 綦辉, 蔡云祥, 宋裕农. 基于UUV支持的水下协同作战研究[J]. 火力与指挥控制, 2009, 34(3): 96-98+101.
QI Hui, CAI Yun-xiang, SONG Yu-nong. Research on underwater cooperative operation based on UUV support [J] Firepower and Command and Control, 2009, 34 (3): 96-98+101.
[45] 刘明雍, 沈俊元, 张加全, 等. 一种基于无迹卡尔曼滤波的UUV协同定位方法 [J]. 鱼雷技术, 2011, 19(3): 205−208.
LIU Ming-yong, SHEN Jun-yuan, ZHANAG Jia-quan, et al. A UUV cooperative positioning method based on unscented Kalman filter [J] Torpedo Technology, 2011, 19 (3): 205−208.
[46] 梁洪涛, 康凤举. 面向多智能体UUV协同系统的任务分配建模(英文) [J]. 系统仿真学报, 2015, 27(9): 2075-2082.
LIANG Hong-tao, KANG Feng-ju. Task assignment modeling for multi agent UUV collaborative system [J]. Journal of System Simulation, 2015, 27 (9): 2075-2082.
[47] 纪敏. 基于变粒度任务分解的多UUV任务规划技术研究[J]. 电子技术与软件工程, 2021, (13): 82-83.
[48] 徐勇. 多平台协同搜索水雷效能分析 [J]. 指挥控制与仿真, 2013, 35(3): 81-83.
XU Yong. Effectiveness Analysis of multi platform cooperative search mine [J]. Command, Control and Simulation, 2013, 35 (3): 81-83.
[49] 魏娜, 刘明雍, 程为彬. 基于D-S证据论的多AUV协同搜索决策 [J]. 现代电子技术, 2020, 43(11): 15-19.
WEI Na, LIU Ming-yong, CHENG Wei-bin. Decision making of multi AUV collaborative search based on D-S evidence theory [J]. Modern Electronic Technology, 2020, 43 (11): 15-19.
