固定翼无人机编队构型与通信拓扑优化

The formation configuration and communication topology optimization problem for fixed-wing unmanned aerial vehicles (UAVs) considering attack defense confrontation situation and minimum information flow requirement is studied. The formation configuration index system is established, the configuration design model and encoding and decoding method of large-scale cluster hierarchical formation are given, the formation model based on power field is proposed, and the formation parameters are optimized by particle swarm optimization algorithm. The communication network topology efficiency index system is established, the communication cost model is proposed, and the network connectivity control algorithm based on Q-Learning is given. The simulation results verify the effectiveness of the proposed method.