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Target Assignment in the Multi-UAV Combat Based on Distributed Compensation Auction Algorithm with Fixed-Time Consensus Protocol

  • Yiyang Chen,
  • Yongzhao Hua,
  • Jianglong Yu,
  • Xiwang Dong

摘要

This paper mainly focuses on the target assignment problems in the unmanned aerial vehicle (UAV) swarm combat. Firstly, the idea of the multi-UAV swarm combat is shown and the constraints and the benefit matrix of the target assignment task are modeled. Secondly, a fixed-time consensus protocol is utilized to estimate the state of all the other agents and its convergence is proved by Lyapunov method. Then, a distributed compensation auction algorithm is proposed. Finally, the proposed distributed compensation auction algorithm is simulated and the results demonstrate the successful completion of the assignment task with only neighboring information.