基于DoDAF的有人/无人机协同作战体系结构建模

doi:10.3969/j.issn.1001-506X.2020.10.15

摘要/Abstract

摘要：

有人/无人机(manned/unmanned aerial vehicle, MAV/UAV)协同作战是未来战场中重要的空中作战模式。由于MAV/UAV协同作战体系系统复杂、涉及作战节点多,需从系统工程的角度对整体作战体系进行顶层设计,并采用统一的结构框架对该体系结构建模。首先,引入美国国防部体系结构框架(Department of Defense architecture framework, DoDAF),提出一种体系结构快速开发方法,并给出开发步骤。然后,利用视图模型,对MAV/UAV协同作战体系的系统功能、作战任务活动、各作战节点的信息交互及组织关系等建立模型。最后,通过动态仿真对模型进行验证。结果表明,所提作战体系的执行状态与预期的作战流程一致,体系结构设计合理,系统内各作战节点定义及信息体系结构描述具备一致性和协调性。

关键词: 美国国防部体系结构框架, 有人/无人机, 协同作战, 体系结构

Abstract:

Manned/unmanned aerial vehicle (MAV/UAV) cooperative combat is an important air combat mode in the future battlefield. Due to the complexity of the system and many involved operational nodes for the MAV/UAV cooperative combat system, it is necessary to carry out top-level design for the entire combat system from the perspective of system engineering and adopt a unified structural framework to model the system architecture. Firstly, the Department of Defense architecture framework (DoDAF) is introduced. An system architecture rapid development procedure is proposed and the development steps are given. Secondly, the view model is used to model the system functions, operational mission activities, information interaction and organizational relationship of each combat node for the MAV/UAV cooperative combat system. Finally, the model is validated through dynamic simulation. The results show that the execution state of the proposed combat system is consistent with the expected combat flow. Moreover, the system architecture design is proved to be reasonable, which ensures the consistency and correspond performance of the information architecture description and the each combat node definition in the system.

Key words: Department of Defense architecture framework (DoDAF), manned/unmanned aerial vehicle (MAV/UAV), cooperative combat, system architecture

中图分类号:

TP302
V219

王新尧, 曹云峰, 孙厚俊, 韦彩色, 陶江. 基于DoDAF的有人/无人机协同作战体系结构建模[J]. 系统工程与电子技术, 2020, 42(10): 2265-2274.

Xinyao WANG, Yunfeng CAO, Houjun SUN, Caise WEI, Jiang TAO. Modeling for cooperative combat system architecture of manned/unmanned aerial vehicle based on DoDAF[J]. Systems Engineering and Electronics, 2020, 42(10): 2265-2274.

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参考文献 31

1	YU X , ZHANG Y M . Sense and avoid technologies with applications to unmanned aircraft systems: review and prospects[J]. Progress in Aero-space Sciences, 2015, 74, 152- 166. doi: 10.1016/j.paerosci.2015.01.001
2	VALAVANIS K P. Unmanned aircraft systems challenges in design for autonomy[C]//Proc.of the 11th International Workshop on Robot Motion and Control, 2017: 73-86.
3	CAMBONE S A, KRIEG K J, PACE P, et al. Unmanned aircraft systems roadmap 2005-2030[R]. Washington D.C.: Office of the Secretary of Defense, 2005: 4-15.
4	WOHLER M, SCHULTE A. On board assistant system for UAS integration into civil airspace[C]//Proc.of the AIAA Infotech@ Aerospace Conference, 2013: AIAA 2013-5047.
5	JAMES W A, KENDALL F. Unmanned systems integrated roadmap FY2013-2038[R]. USA: Department of Defense, 2013: 16-19.
6	王怿,严江江,陈晓东,等.美军体系综合技术和试验(SoSITE)项目概况及启示[C]//第三届中国指挥控制大会, 2015: 122-126.
	WANG Y, YAN J J, CHEN X D, et al. Summarization and enlightenment of american system of systems integration technology and experimentation(SoSITE) program[C]//Proc.of the 3rd China conference on command and control, 2015: 122-126.
7	李东兵, 申超, 蒋琪. SoSITE等项目推动美军分布式作战体系建设和发展[J]. 飞航导弹, 2016, (9): 65- 70.
	LI D B , SHEN C , JIANG Q . SoSITE and other projects promote the construction and development of the distributed air warfare system of the US army[J]. Aerodynamic Missile Journal, 2016, (9): 65- 70.
8	张安, 刘跃峰, 汤志荔, 等. 编队协同对地攻击指挥决策系统体系结构研究[J]. 计算机工程与应用, 2010, 46 (29): 232- 235.
	ZHANG A , LIU Y F , TANG Z L , et al. Research on command and decision system architecture of cooperative formation air-to-ground attack[J]. Computer Engineering and Applications, 2010, 46 (29): 232- 235.
9	钟赟, 张杰勇, 邓长来. 有人/无人机协同作战问题[J]. 指挥信息系统与技术, 2017, 8 (4): 19- 25.
	ZHONG Y , ZHANG J Y , DENG C L . Cooperative combat problems about manned/unmanned aerial vehicles[J]. Command Information System and Technology, 2017, 8 (4): 19- 25.
10	JUN C , QIU X J , JIA R , et al. Design method of organizational structure for MAVs and UAVs heterogeneous team with adjustable autonomy[J]. Journal of Systems Engineering and Electronics, 2018, 29 (2): 286- 295. doi: 10.21629/JSEE.2018.02.09
11	ZHONG Y , YAO P Y , ZHANG J Y , et al. Formation and adjustment of manned/unmanned combat aerial vehicle cooperative engagement system[J]. Journal of Systems Engineering and Electronics, 2018, 29 (4): 756- 767. doi: 10.21629/JSEE.2018.04.10
12	ZHONG Y , YAO P Y , SUN Y , et al. Cooperative task allocation method of MCAV/UCAV formation[J]. Mathematical Problems in Engineering, 2016, 6051046.
13	ZHONG Y, YAO P Y, SUN Y, et al. Research on command and control of MAV/UAV engagement from the cooperative perspective[C]//Proc.of the International Conference on Information System and Artificial Intelligence, 2016.
14	LI Y, HAN W, ZHANG Y, et al. Trajectory planning based on spatial-temporal constraints for MAV/UAV cooperative system[C]//Proc.of the Chinese Control Conference, 2019: 4011-4016.
15	ZHONG Y , YAO P Y , WAN L J , et al. Intervention decision-making in MAV/UAV cooperative engagement based on human factors engineering[J]. Journal of Systems Engineering and Electronics, 2018, 29 (3): 530- 538. doi: 10.21629/JSEE.2018.03.10
16	MENG Z , LI X , LU C , et al. Collaborative forward-looking imaging and reconnaissance technology for manned/unmanned aerial vehicles[J]. Journal of Engineering, 2019, 19, 6117- 6121.
17	WU Y, LU Q H, QUAN J L, et al. A method for evaluating manned/unmanned aerial vehicle combat cooperative capability[C]//Proc.of the 15th International Conference on Control and Automation, 2019: 130-135.
18	FAN J R , LI D G , LI R P . Evaluation of MAV/UAV collaborative combat capability based on network structure[J]. International Journal of Aerospace Engineering, 2018, 5301752.
19	XIONG P S, LIU H, TIAN Y L. Mission effectiveness evaluation of manned/unmanned aerial team based on OODA and agent-based simulation[C]//Proc.of the 3rd International Confe-rence on Artificial Intelligence and Virtual Reality, 2019: 31-37.
20	SHI G, ZHANG L, ZHANG J S, et al. Research on robustness of manned/unmanned aerial vehicle collaborative combat network[C]//Proc.of the 15th International Conference on Control, Automation, Robotics and Vision, 2018: 503-508.
21	梁振兴. 体系结构设计方法的发展及应用[M]. 北京: 国防工业出版社, 2012: 8- 29.
	LIANG Z X . Development and application of system architecture design methods[M]. Beijing: Nation Defense Industry Press, 2012: 8- 29.
22	WORK O R, BRIMLY S. Preparing for war in the robotic age[R]. Washington D.C.: Center for a New American Security, 2014: 28-72.
23	Unmanned systems integrated roadmap FY 2017-2042[R]. USA: The Office of the Secretary of Defense, 2017.
24	CAI C, CHEN J F, LEI J. A system modeling method of AUV swarms based on UPDM[C]//Proc.of the IEEE International Conference on Signal Processing, Communications and Computing, 2019.
25	ZHAN Z J, WANG Y H, LI B F, et al. Architecture design of air-sea joint combat system based on DoDAF[C]//Proc.of the AI in Optics and Photonics Conference, 2019: 113-420.
26	YANG W J, YUAN C X, ZHAO J, et al. Research on weapon and equipment requirement analysis method based on DODAF[C]//Proc.of the International Conference on Virtual Reality and Intelligent Systems, 2019: 317-319.
27	DoD Architecture Frameworking Group. DOD architecture framework version 2.02. Change1 volume1: overview and concepts[R]. Washington D.C.: USA Department of Defense, 2015: 20-26.
28	HAO L J . Study on the DoDAF-based UUV formation system collaborative anti-submarine architecture modeling[J]. Revista de la Facultad de Ingeniería, 2017, 32 (16): 947- 951.
29	TONG Y, ZHANG J, XU M D, et al. Network security monitoring and defense system framework design using mobile agents based on DoDAF[C]//Proc.of the International Conference on Computer Science and Applications, 2015: 366-370.
30	ILBEYGI M , KANGAVARI M R . Comprehensive architecture for intelligent adaptive interface in the field of single-human multiple-robot interaction[J]. ETRI Journal, 2018, 40 (4): 483- 498. doi: 10.4218/etrij.2017-0294
31	占国熊.基于MBSE的武器装备体系元建模与分析方法研究[D].长沙:国防科技大学, 2015.
	ZHAN G X. Research on meta-modeling and analysis method for weapons system of systems based on MBSE[D]. Changsha: National University of Defense Technology, 2015.

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