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ACTA AERONAUTICAET ASTRONAUTICA SINICA ›› 2020, Vol. 41 ›› Issue (S2): 724287-724287.doi: 10.7527/S1000-6893.2020.24287

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Influences of drone swarm failure based on directed graph

CHEN Yanbo, HUANG Jinlong, WANG Zhijun, JIANG Bin, CHENG Yuehua, YANG Hao   

  1. College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
  • Received:2020-04-29 Revised:2020-05-28 Published:2020-06-18
  • Supported by:
    The Fundamental Research Funds for the Central Universities(NC2020002,NP2020103)

Abstract: Based on the drone swarm control model, the influence mechanism of the drone swarm failure is studied using the failure propagation directed graph and consistency theory, aiming at the fault resulted from false information injection. The shortest path from the fault source to each drone is first obtained by the Dijkstra Algorithm, based on which a directed graph of fault propagation is established. Then, the influence degree on each drone by the fault is predicted, and the index of consistent behavior deviation is calculated as the actual influence degree in combination with the drone swarm system. Finally, the prediction result is compared with the actual fault influence degree through simulation, and the accuracy of the fault influence mechanism is verified.

Key words: drone swarm, false data, directed graph, influence of fault, fault propagation

CLC Number: