电子电气工程与控制

韧性无人机群多域协同方法建模与求解

  • 孙沁 ,
  • 李鸿旭 ,
  • 王毓智 ,
  • 周丽萍 ,
  • 张英朝
展开
  • 中山大学 系统科学与工程学院, 广州 510006

收稿日期: 2021-01-28

  修回日期: 2021-04-13

  网络出版日期: 2021-06-18

基金资助

中山大学百人计划人才引进(190158)

Resilient UAV swarm modeling and solving based on multi-domain collaborative method

  • SUN Qin ,
  • LI Hongxu ,
  • WANG Yuzhi ,
  • ZHOU Liping ,
  • ZHANG Yingchao
Expand
  • School of Systems Science and Engineering, Sun Yat-sen University, Guangzhou 510006, China

Received date: 2021-01-28

  Revised date: 2021-04-13

  Online published: 2021-06-18

Supported by

The Program of "One Hundred Talented Scholars" of Sun Yat-Sen University (190158)

摘要

为提高无人机群(UAVS)在执行任务过程中的抗干扰能力,提出了一种韧性无人机群多域协同方法,并对其进行建模与求解。首先,改进了韧性无人机群恢复因子;在此基础上,通过协调机群中的非重要节点接替受扰机群中的重要节点,以提高受扰动无人机群的性能;最后,通过仿真验证了该方法的有效性。结果表明,该方法能够有效地恢复受扰动无人机群的性能,使其性能快速恢复到任务基线以上,从而确保了任务的完成,增强了无人机群的韧性。该研究结果为无人机群协同作战提供了新思路、新方法。

本文引用格式

孙沁 , 李鸿旭 , 王毓智 , 周丽萍 , 张英朝 . 韧性无人机群多域协同方法建模与求解[J]. 航空学报, 2022 , 43(5) : 325340 -325340 . DOI: 10.7527/S1000-6893.2021.25340

Abstract

To enhance the anti-interference ability of Unmanned Aerial Vehicle Swarm (UAVS) during the execution of mission, a multi-domain collaborative method is proposed, and its modeling and solution are carried out. At first, the recovery factor of resilient UAVS is improved. On this basis, the performance of the disturbed UAVS is improved by coordinating the non-important node from one swarm to replace the important node in the disturbed UAVS. Finally, the effectiveness of the proposed method is verified by simulation. The simulation results show that the proposed method can effectively restore the performance of the disturbed UAVS, making the performance value transcend the mission baseline, and ensuring the completion of the mission and enhancing the resilience of the UAVS. The research results provide a new way and method for UAVS cooperative operation.

参考文献

[1] 吴钟博, 易建强. 无人机编队支撑网络的协同通信中继策略[J]. 航空学报, 2020, 41(S2):724319. WU Z B, YI J Q. Cooperative communication relay selection method for UAV formation support networks[J]. Acta Aeronautica et Astronautica Sinica, 2020, 41(S2):724319(in Chinese).
[2] PHAM H X, LA H M, FEIL-SEIFER D, et al. A distributed control framework of multiple unmanned aerial vehicles for dynamic wildfire tracking[J]. IEEE Transactions on Systems, Man, and Cybernetics:Systems, 2020, 50(4):1537-1548.
[3] SHI G Q, ZHANG L, ZHANG J D, et al. Research on robustness of manned/unmanned aerial vehicle collaborative combat network[C]//201815th International Conference on Control, Automation, Robotics and Vision (ICARCV). Piscataway:IEEE Press, 2018:503-508.
[4] 周文卿, 朱纪洪, 匡敏驰. 一种基于群体智能的无人空战系统[J]. 中国科学:信息科学, 2020, 50(3):363-374. ZHOU W Q, ZHU J H, KUANG M C. An unmanned air combat system based on swarm intelligence[J]. Scientia Sinica (Informationis), 2020, 50(3):363-374(in Chinese).
[5] 贾永楠, 田似营, 李擎. 无人机集群研究进展综述[J]. 航空学报, 2020, 41(S1):723738. JIA Y N, TIAN S Y, LI Q. Recent development of unmanned aerial vehicle swarms[J]. Acta Aeronautica et Astronautica Sinica, 2020, 41(S1):723738(in Chinese).
[6] 唐帅文, 周志杰, 姜江, 等. 考虑扰动的无人机集群协同态势感知一致性评估[J]. 航空学报, 2020, 41(S2):724233. TANG S W, ZHOU Z J, JIANG J, et al. Consensus evaluation of UAV swarm cooperative situation awareness considering perturbation[J]. Acta Aeronautica et Astronautica Sinica, 2020, 41(S2):724233(in Chinese).
[7] 顾凌枫, 何明, 陈国友, 等. 无人机集群系统弹性研究[J]. 系统工程与电子技术, 2021, 43(1):156-162. GU L F, HE M, CHEN G Y, et al. Research on unmanned aerial vehicle swarm system resilience[J]. Systems Engineering and Electronics, 2021, 43(1):156-162(in Chinese).
[8] 李富良, 胡荣, 胡家旗, 等. 无人机集群在空降作战中的战法探析[J]. 飞航导弹, 2019(7):51-55. LI F L, HU R, HU J Q, et al. Analysis on the combat method of UAV swarm in airborne combat[J]. Aerodynamic Missile Journal, 2019(7):51-55(in Chinese).
[9] WANG X H, ZHANG Y, WANG L Z, et al. Robustness evaluation method for unmanned aerial vehicle swarms based on complex network theory[J]. Chinese Journal of Aeronautics, 2020, 33(1):352-364.
[10] YUAN Z H, JIN J, SUN L L, et al. Ultra-reliable IoT communications with UAVs:A swarm use case[J]. IEEE Communications Magazine, 2018, 56(12):90-96.
[11] BAI G H, LI Y J, FANG Y N, et al. Network approach for resilience evaluation of a UAV swarm by considering communication limits[J]. Reliability Engineering & System Safety, 2020, 193:106602.
[12] CHENG C C, BAI G H, ZHANG Y N, et al. Resilience evaluation for UAV swarm performing joint reconnaissance mission[J]. Chaos, 2019, 29(5):053132.
[13] CHENG C C, BAI G H, ZHANG Y A, et al. Improved integrated metric for quantitative assessment of resilience[J]. Advances in Mechanical Engineering, 2020, 12(2):1687814020906065.
[14] HOLLING C S. Resilience and stability of ecological systems[J]. Annual Review of Ecology and Systematics, 1973, 4:1-23.
[15] TRAN H T, BALCHANOS M, DOMERĆANT J C, et al. A framework for the quantitative assessment of performance-based system resilience[J]. Reliability Engineering & System Safety, 2017, 158:73-84.
[16] 崔琼, 李建华, 王宏, 等. 基于节点修复的网络化指挥信息系统弹性分析模型[J]. 计算机科学, 2018, 45(4):117-121, 136. CUI Q, LI J H, WANG H, et al. Resilience analysis model of networked command information system based on node repairability[J]. Computer Science, 2018, 45(4):117-121, 136(in Chinese).
[17] TRAN H T, MAVRIS D N. A system-of-systems approach for assessing the resilience of reconfigurable command and control networks[C]//AIAA Infotech@Aerospace. Reston:AIAA, 2015:0640.
[18] CHEN J T, TOUATI C, ZHU Q Y. A dynamic game approach to strategic design of secure and resilient infrastructure network[J]. IEEE Transactions on Information Forensics and Security, 2020, 15:462-474.
[19] ORDOUKHANIAN E, MADNI A. Model-based approach to engineering resilience in multi-UAV systems[J]. Systems, 2019, 7(1):11.
[20] WANG L Z, LU D W, ZHANG Y, et al. A complex network theory-based modeling framework for unmanned aerial vehicle swarms[J]. Sensors (Basel, Switzerland), 2018, 18(10):3434.
[21] 王哲, 李建华. 网络信息体系弹性及其建模分析[J]. 军事运筹与系统工程, 2020, 34(1):54-60. WANG Z, LI J H. The resilience and modeling analysis of networked information system of system[J]. Military Operations Research and Systems Engineering, 2020, 34(1):54-60(in Chinese).
[22] SUN Q, LI H X, ZHANG Y C, et al. A baseline assessment method of UAV swarm resilience based on complex networks[C]//2021 IEEE 19th World Symposium on Applied Machine Intelligence and Informatics (SAMI). Piscataway:IEEE Press, 2021:83-86.
[23] BARABAÁSI A L, ALBERT R. Emergence of scaling in random networks[J]. Science, 1999, 286(5439):509-512.
文章导航

/