潜艇与智能无人水下航行器协同系统控制体系及决策研究

doi:10.3969/j.issn.1000-1093.2017.02.018

兵工学报 ›› 2017, Vol. 38 ›› Issue (2): 335-344.doi: 10.3969/j.issn.1000-1093.2017.02.018

潜艇与智能无人水下航行器协同系统控制体系及决策研究

王圣洁^1,2，康凤举^1,2，韩翃^1,2

(1.西北工业大学航海学院, 陕西西安 710072; 2.西北工业大学水下信息与控制国家重点实验室, 陕西西安 710072)

收稿日期:2016-05-19 修回日期:2016-05-19 上线日期:2017-04-01
作者简介:王圣洁（1985—），女，博士研究生。 E-mail： xxm1960@126.com

Research on Control and Decision-making of Submarine and Intelligent UUV Cooperative System

WANG Sheng-jie^1,2， KANG Feng-ju^1,2， HAN Hong^1,2

(1.School of Marine Science and Technology，Northwestern Polytechnical University, Xi'an 710072, Shaanxi, China;2.State Key Laboratory of Underwater Information and Control, Northwestern Polytechnical University, Xi'an 710072, Shaanxi, China)

Received:2016-05-19 Revised:2016-05-19 Online:2017-04-01

摘要/Abstract

摘要： 无人作战是未来战争发展的必然趋势，然而，当下无人水下航行器（UUV）的智能水平有限，造成UUV编队在水下网络中心战（UWNCW）中的应用具有局限性。针对以上问题，将人的智能引入智能UUV编队，形成一种潜艇与智能UUV结合的协同系统，分析了系统的优点及复杂性，并对系统的控制体系结构及决策问题等关键技术进行了研究。对系统在突发威胁情况下的航迹规划过程进行了仿真，仿真结果表明潜艇与智能UUV协同系统能够有效地实现避障并能躲避突发威胁，提升了整个系统的应急能力。

关键词: 兵器科学与技术, 潜艇, 智能无人水下航行器, 协同, 决策

Abstract: The unmanned battle is a development tendency of the future war, but the intelligent level of unmanned underwater vehicle (UUV) is limited, thus leading to the limitation in the application of UUV formation in the underwater network centric warfare. For the above-mentioned issue, human intelligent is introduced into the intelligent UUV formation to form a cooperative-combat system combining submarine and intelligent UUV, and the advantages and complexity of the system are analyzed. The key technologies of organization structure and decision-making of the system are researched. And finally, the system is simulated to test and verify its effectiveness. The simulation of path planning in the presence of emerging threat is carried out, and the result indicates that the submarine and intelligent UUVs cooperative system is able to realize obstacle avoidance and threat avoidance effectively,and the system's emergency response capability is improved. Key

Key words: ordnancescienceandtechnology, submarine, intelligentUUV, cooperation, decision-making

中图分类号:

N945.13

王圣洁，康凤举，韩翃. 潜艇与智能无人水下航行器协同系统控制体系及决策研究[J]. 兵工学报, 2017, 38(2): 335-344.

WANG Sheng-jie， KANG Feng-ju， HAN Hong. Research on Control and Decision-making of Submarine and Intelligent UUV Cooperative System[J]. Acta Armamentarii, 2017, 38(2): 335-344.

参考文献

［1］薛春祥, 黄孝鹏, 朱咸军, 等. 外军无人系统现状与发展趋势[J]. 雷达与对抗, 2016, 36 (1): 1-5.
XUE Chun-xiang, HUANG Xiao-peng, ZHU Xian-jun, et al. Status and development trends of foreign military’s unmanned systems[J]. Radar & ECM, 2016, 36(1): 1-5. (in Chinese)
[2] 赵良明, 刘卫东. 水下网络中心战概念与框架研究[J]. 声学技术, 2009, 28(6): 136-139.
ZHAO Liang-ming, LIU Wei-dong. Research on concept and frame architecture for underwater network centric warfare[J]. Technical Acoustics,, 2009, 28(6): 136-139. (in Chinese)
[3] 太禄东, 汤晓迪, 甘怀锦. 无人水下航行器在海军网络中心战中的应用[J]. 舰船电子工程, 2009, 29(6): 33-35.
TAI Lu-dong, TANG Xiao-di, GAN Huai-jin. Application of UUV in naval network central war[J]. Ship Electronic Engineering, 2009, 29(6): 33-35. (in Chinese)

[4] 蒋荣华. 潜载UUV的作战使用分析[J]. 舰船电子工程，2015, 35(10): 17-20.
JIANG Rong-Hua. Application analysis of submarine UUV[J]. Ship Electronic Engineering, 2015, 35(10): 17-20. (in Chinese)

[5] 姜晓平, 朱奕, 伞冶. 基于复杂系统的信息化作战仿真研究进展[J]. 计算机仿真, 2014, 31(2): 8-13.
JIANG Xiao-ping, ZHU Yi, SAN Ye. Survey of information based combat simulation using complex system theory[J]. Computer Simulation, 2014, 31(2): 8-13. (in Chinese)

[6] 胡晓峰. 战争复杂性与复杂体系仿真问题[J]. 军事运筹与系统工程, 2010, 24(3): 27-34.
HU Xiao-feng. War complexity and the problem of complex system simulation[J]. Military Operations Research and Systems Engineering, 2010, 24(3): 27-34. (in Chinese)

[7] Andersonl C, Franks N R. Teamwork in animals, robots, and humans[J]. Advances in the Study of Behavior, 2003, 33(3): l-48.
[8] Bessemer W G. Transitioning to unmanned combat aerial vehicles[D]. Monterey, CA: Naval Postgraduate School, 2006.
[9] 杨颖, 武健, 魏鹏. 基于多智能体和合同网的巡航导弹自主任务分配[J]. 战术导弹技术, 2014 (1): 63-66.
YANG Ying, WU Jian, WEI Peng. Autonomous task assignment of cruise missile based on multi-agent and CNP[J]. Tactical Missile Technology, 2014(1): 63-66. (in Chinese)

[10] 赵晓哲, 王超. 基于MAS的编队协同作战仿真系统建模研究[J]. 系统仿真学报, 2009, 21(8): 2381-2385.
ZHAO Xiao-zhe, WANG Chao. Research on modeling of formation cooperative combat simulation system based on multi-agent system[J]. Journal of System Simulation, 2009, 21(8): 2381-2385. (in Chinese)
[11] 刘跃峰, 陈哨东, 孔繁峨. 基于ULMADM的智能指挥控制系统决策分配方法[J]. 系统工程理论与实践, 2014, 34(5): 1339-1344.
LIU Yue-feng, CHEN Shao-dong, KONG Fan-e. Decision allocation method of intelligent command and control system based on ULMADM[J]. System Engineering Theory & Practice, 2014, 34(5): 1339-1344. (in Chinese)
[12] Parasuraman R, Sheridan T B, Wickens C D. A model for types and levels of human interaction with automation[J]. IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans, 2000, 30(3): 286-297.
[13] 张卓. 混合信息的多属性决策研究[J]. 计算机与数字工程, 2014, 42(12): 2433-2438.
ZHANG Zhuo. Multiple attribute decision-making for hybrid information[J]. Computer and Digital Engineering, 2014, 42(12): 2433-2438. (in Chinese)

[14] 徐泽水, 达庆利. 区间型多属性决策的一种新方法[J].东南大学学报:自然科学版, 2003, 33(4): 498-501.
XU Ze-shui, DA Qing-li. New method for interval multi-attribute decision-making[J]. Journal of Southeast University: Natural Science Edition, 2003, 33(4): 498-501. (in Chinese)

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潜艇与智能无人水下航行器协同系统控制体系及决策研究

Research on Control and Decision-making of Submarine and Intelligent UUV Cooperative System

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