High dynamic cooperative topology online optimization and distributed guidance method

In order to solve the distributed cooperative guidance problem in the flight process of a high-velocity aircraft swarm, this paper proposed an adaptive topology optimization and guidance algorithm based on a minimum spanning tree. The algorithm constructed the topology graph of the communication link of the aircraft swarm, quantified the distance as the weight according to the communication cost, and generated the optimal communication topology graph in real time through the idea of the Kruskal algorithm in the minimum spanning tree. This paper adopted the distributed two-layer cooperative guidance framework and multi-center distributed topology optimization decision-making method and compensated for the consistent variables in the consensus cooperative control law, so as to realize the topology adaptive optimization and control in the cooperative flight of aircraft swarm. Simulation results verify the effectiveness and excellent performance of the proposed algorithm.