跨域联合的海上无人集群系统作为改变未来海洋战场的颠覆性技术装备,将加速推动作战模式的衍变,进一步提升作战效能和效费比。本文概括无人机、无人艇和无人潜航器集群的技术现状,总结了海上无人集群系统攻击、反潜、反水雷3种作战应用模式,梳理了跨域无人集群系统的研制关键技术,并对未来无人装备技术体系的发展提出建议。
As a disruptive technology equipment to change the future maritime battlefield, the cross-domain integrated maritime unmanned cluster system will accelerate the derivation of combat mode and further enhance the combat effectiveness and cost-efficiency ratio. This paper outlines the current technological status of unmanned aircraft, multiple unmanned surface vehicles and unmanned submarine clusters, summarizing the application of maritime unmanned cluster systems in attack, antisubmarine and undersea mine countermeasures, sorting out the key technologies for the development of cross-domain unmanned cluster systems. In conclusion, we make suggestions for the development of future unmanned equipment technology systems.
2024,46(2): 53-56 收稿日期:2022-08-11
DOI:10.3404/j.issn.1672-7649.2024.02.009
分类号:V11
作者简介:杨中源(1994-),男,硕士,工程师,研究方向为舰船数字化设计
参考文献:
[1] 张昊. 美国无人机协同作战研究[J]. 飞航导弹, 2017(8): 12–16+21
[2] 郑婷婷. 人工智能在智慧海洋建设中的应用[J]. 中国海洋平台, 2021, 36(5): 59–62
[3] 刘庆文. 海洋环境物理场特性测试与分析技术研究[D]. 哈尔滨: 哈尔滨工程大学, 2005.
[4] WILLCOX S, GOLDBERG D, VAGANAY J, et al. Multi- vehicle cooperative navigation and autonomy with the blue- fin CADRE system[C]//International Federation of Auto- matic Control Conference (IFAC), Cambridge, 2006.
[5] 吴吉伟, 徐先勇, 陆文俊. 浅谈无人潜航器在反潜作战中的应用[J]. 军民两用技术与产品, 2014(7): 52–53
[6] 张汝云, 肖戈扬, 单麒赫, 等. 多模态网络下多智能体协同控制的通信拓扑重构方法[J]. 通信学报, 2022, 43(4): 50–59
[7] 苏菲, 陈岩, 沈林成. 基于蚁群算法的无人机协同多任务分配[J]. 航空学报, 2008(S1): 184–191
[8] 段勇, 徐心和. 基于多智能体强化学习的多机器人协作策略研究[J]. 系统工程理论与实践, 2014, 34(5): 1305–1310
[9] Reza Olfati-Saber. Flocking for multi-agent dynamic systems: algorithms and theory [J]. IEEE Transactions on Automatic Control, 2006, 51(3): 401−420.
[10] 张伟, 王乃新, 魏世琳, 等. 水下无人潜航器集群发展现状及关键技术综述[J]. 哈尔滨工程大学学报, 2020, 41(2): 289–297
[11] 韩月明, 方丹, 张红艳, 等. 智能无人机集群协同作战效能评估综述[J]. 飞航导弹, 2020(8): 51–56