系统工程与电子技术 ›› 2021, Vol. 43 ›› Issue (1): 156-162.doi: 10.3969/j.issn.1001-506X.2021.01.19

• 系统工程 • 上一篇    下一篇

无人机集群系统弹性研究

顾凌枫1(), 何明1(), 陈国友1(), 季敏惠2(), 刘锦涛1()   

  1. 1. 陆军工程大学指挥控制工程学院, 江苏 南京 210001
    2. 江苏省公安厅, 江苏 南京 210001
  • 收稿日期:2020-02-22 出版日期:2020-12-25 发布日期:2020-12-30
  • 作者简介:顾凌枫(1991-),男,硕士研究生,主要研究方向为无人机指控。E-mail:LingFeng802@126.com|何明(1978-),男,教授,博士研究生导师,博士,主要研究方向为智联网与无人机指控。E-mail:paper_review@126.com|陈国友(1973-),男,副教授,硕士,主要研究方向为通信工程。E-mail:49862832@qq.com|季敏惠(1985-),女,工程师,硕士,主要研究方向为网络通信。E-mail:240793335@qq.com|刘锦涛(1981-),男,工程师,博士,主要研究方向为多智能体协同控制。E-mail:top1944@163.com
  • 基金资助:
    国家重点研发计划(2018YFC0806900);中国博士后科学基金(2018M633757);江苏省重点研发计划(BE2016904);江苏省重点研发计划(BE2017616);江苏省重点研发计划(BE2018754);江苏省重点研发计划(BE2019762)

Research on unmanned aerial vehicle swarm system resilience

Lingfeng GU1(), Ming HE1(), Guoyou CHEN1(), Minhui JI2(), Jintao LIU1()   

  1. 1. School of Command and Control Engineering, Army Engineering University, Nanjing 210001, China
    2. Department of Public Security of Jiangsu Province, Nanjing 210001, China
  • Received:2020-02-22 Online:2020-12-25 Published:2020-12-30

摘要:

为提升无人机集群(unmanned aerial vehicle swarm, UAVS)应对恶劣天气、人为干扰、组件故障等扰动的能力,借鉴复杂网络弹性理念,对UAVS扰动场景进行建模,提出了UAVS弹性的概念与内涵,通过与鲁棒性、可靠性、抗毁性等指标对比,阐述了弹性指标对于研究UAVS系统特性的意义;分析UAVS性能变化曲线和选取指标,刻画了弹性定量指标,从而提出了UAVS系统弹性评估方法;从吸收扰动和恢复两方面,提出了UAVS系统弹性的优化策略。最后,展望UAVS系统弹性未来研究的发展趋势。

关键词: 无人机集群, 复杂网络, 弹性, 扰动

Abstract:

In order to improve the ability of the unmanned aerial vehicle swarm (UAVS) to deal with disturbances such as severe weather, electronic jamming, component failure, etc., the UAVS disturbance scenarios are modeled, the concept and connotation of the UAVS resilience is proposed by referring to the concept of complex network resilience. By comparing with the robustness, reliability, invulnerability and other indicators, the significance of resilience for studying the characteristics of UAVS is explained. The performance curve and selected indicators of UAVS are analyzed, the quantitative indicator of resilience is depicted, and the methods for evaluating the resilience of UAVS system are proposed. The optimization strategy for UAVS system resilience is put forward from two spects of disturbance absorption and recovery. Finally, the development tendency of future research on the resilience of UAVS system is forecasted.

Key words: unmanned aerial vehicle swarm(UAVS), complex network, resilience, disturbance

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