Journal of System Simulation ›› 2022, Vol. 34 ›› Issue (8): 1820-1833.doi: 10.16182/j.issn1004731x.joss.21-0200

• Modeling Theory and Methodology • Previous Articles     Next Articles

Design and Implementation of UAV Swarm Self-organizing Search Model

Kan Li(), Yunpeng Li, Jiangbo Zhao   

  1. Shijiazhuang Division of PLAA Infanty College, Shijiazhuang 050227, China
  • Received:2021-03-12 Revised:2021-05-06 Online:2022-08-30 Published:2022-08-15

Abstract:

The UAV swarm self-organizing search for moving target under the urban threat is an important implement of UAV swarm. Though Agent-based complex system modeling and simulation tools, the framework of UAV swarm search simulation model is constructed, and the self-organizing search model of UAV swarm is designed. Under the possible threats to the operational use of UAVs, the concept of self-organizing search for UAV swarm is preliminarily realized and demonstrated, and the solution of autonomous decision making for UAV swarm based on the probability-based finite state machine model is explored, which is analyzed and verified by a case. The simulation model of UAV swarm self-organizing search provides a reference case, model support and test platform for UAV swarm operation application research.

Key words: UAV swarm, self-organization, search, threat environment, simulation, probabilistic finite-state machines(PFSMs)

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