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Mission reliability modeling of UAV swarm and its structure optimization based on importance measure

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  • Dui, Hongyan
  • Zhang, Chi
  • Bai, Guanghan
  • Chen, Liwei

Abstract

The mission reliability of an unmanned aerial vehicle (UAV) swarm is the capability of the swarm to complete its intended missions under specified operating conditions for a specified period of time. In order to achieve high mission reliability, the optimal structure of UAV swarm needs to be determined when some UAVs fail during the mission. In this paper, the mission reliability and structure optimization of UAV swarm are studied based on importance measure. Firstly, the mission reliability model of the UAV swarm based on polygonal linear consecutive-k-out-of-n: F systems is proposed. Secondly, based on the importance measures, the performance of the UAV swarm given different reliability of a UAV at different locations is analyzed. Thirdly, with the three indicators, namely conditional reliability, conditional failure rate, remaining useful life, the structure optimization of UAV swarm during the mission process is analyzed. Numerical examples of triangular and quadrilateral UAV swarms are given to demonstrate the proposed method. The proposed model and metric can be used to support mission planning and the design of a UAV swarm.

Suggested Citation

  • Dui, Hongyan & Zhang, Chi & Bai, Guanghan & Chen, Liwei, 2021. "Mission reliability modeling of UAV swarm and its structure optimization based on importance measure," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    • Handle: RePEc:eee:reensy:v:215:y:2021:i:c:s0951832021003987
    DOI: 10.1016/j.ress.2021.107879
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    References listed on IDEAS

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    Cited by:

    1. Feng, Qiang & Liu, Meng & Dui, Hongyan & Ren, Yi & Sun, Bo & Yang, Dezhen & Wang, Zili, 2022. "Importance measure-based phased mission reliability and UAV number optimization for swarm," Reliability Engineering and System Safety, Elsevier, vol. 223(C).
    2. Liu, Tao & Bai, Guanghan & Tao, Junyong & Zhang, Yun-An & Fang, Yining, 2024. "A Multistate Network Approach for Resilience Analysis of UAV Swarm considering Information Exchange Capacity," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
    3. Liu, Lujie & Yang, Jun, 2023. "A dynamic mission abort policy for the swarm executing missions and its solution method by tailored deep reinforcement learning," Reliability Engineering and System Safety, Elsevier, vol. 234(C).
    4. Ma, Chengye & Du, Yongjun & Zhang, Yuchun & Cai, Zhiqiang, 2022. "Marginal and joint failure importance for K-terminal network edges under counting process," Reliability Engineering and System Safety, Elsevier, vol. 223(C).
    5. Li, Hongxu & Sun, Qin & Zhong, Yuanfu & Huang, Zhiwen & Zhang, Yingchao, 2023. "A soft resource optimization method for improving the resilience of UAV swarms under continuous attack," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
    6. Xu, Bei & Liu, Tao & Bai, Guanghan & Tao, Junyong & Zhang, Yun-an & Fang, Yining, 2022. "A multistate network approach for reliability evaluation of unmanned swarms by considering information exchange capacity," Reliability Engineering and System Safety, Elsevier, vol. 219(C).
    7. Elena Zaitseva & Vitaly Levashenko & Ravil Mukhamediev & Nicolae Brinzei & Andriy Kovalenko & Adilkhan Symagulov, 2023. "Review of Reliability Assessment Methods of Drone Swarm (Fleet) and a New Importance Evaluation Based Method of Drone Swarm Structure Analysis," Mathematics, MDPI, vol. 11(11), pages 1-26, June.

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