• CN: 11-2187/TH
  • ISSN: 0577-6686

Journal of Mechanical Engineering ›› 2022, Vol. 58 ›› Issue (10): 361-373.doi: 10.3901/JME.2022.10.361

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Mission Reliability Modeling and Importance Analysis of UAV Swarm

BAI Guanghan1, ZHANG Chi1, DUI Hongyan2,3, ZHANG Yunan1, TAO Junyong1   

  1. 1. College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073;
    2. School of Management Engineering, Zhengzhou University, Zhengzhou 450001;
    3. School of Business, Luoyang Vocational&Technical College, Luoyang 471000
  • Received:2021-05-30 Revised:2021-09-30 Online:2022-05-20 Published:2022-07-07

Abstract: Traditional platform-centric static reliability assessment cannot meet the reliability analysis requirements of UAV swarms for diversified tasks under complex and confrontational battlefield. Due to the redundancy of UAV swarms, the research focus on its reliability has changed to mission-centric reliability, which is of great significance for mission planning, decision-making and improving mission success rate. According to the formation and task of the swarm, a mission reliability model of the UAV swarm based on the one-dimensional linear continuous k-out-of-n system and the two-dimensional linear continuous (r, s)-out-of- (m, n) system is developed. The influence on the mission reliability change and performance of the swarm was obtained when one or several UAVs fail. Next, the Birnbaum importance and Integrated importance measure of UAV swarms in one-dimensional and two-dimensional spaces are proposed respectively. The impact of changes in the reliability of UAVs in different locations on the performance of the swarm is analyzed. Then weak links and key UAV in the swarm are determined. Finally, based on the case study of UAV swarm in different formations, the impact of UAVs failure on swarm mission reliability and performance is analyzed and the correctness and effectiveness of the proposed method are verified.

Key words: reliability, UAV swarm, Birnbaum importance measure, integrated importance measure, system performance

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