The Russia-Ukraine conflict has witnessed new application styles of unmanned aerial vehicles （UAVs） such as “order strike”， “space-based star chain interconnection”， and “low-cost large-scale application”， which create classic cases of “the smaller defeats the bigger”. The conflict provides a “testing ground” for the systematic application of UAVs in modern warfare. Based on the open source intelligence information， this paper systematically combs the UAV equipment of the Russia-Ukraine conflict. Based on typical UAV combat cases， this paper analyzes the new characteristics and styles of UAV operation application in the process of situational awareness， battlefield communication， command and control， and strike confrontation. From the perspective of equipment construction， this paper proposes countermeasures and suggestions for high-cost-effectiveness-ratio defense of UAVs.

In the modern warfare with increasingly complex operational tasks and changing battlefield environment, it has become a trend for multi unmanned aerial vehicles(UAVs) to cooperate to complete complex operational tasks. The key technology of multi-UAVs system involves multi-UAVs formation flight control and reconfiguration. We researched the problem of multi-UAVs formation control, reconfiguration, as well as path planning using particle swarm optimization (PSO) and ant colony optimization (ACO) algorithm. For the formation reconfiguration, we considered the reconfiguration in a dynamical environment and gave a method based on a diversity PSO algorithm. We also developed a multi-UAVs coordinated formation flight control platform. The simulation results showed that the intelligent algorithms such as PSO and ACO can solve formation control, formation reconfiguration and flight path planning problem well, and the diversity PSO algorithm has stronger global optimization ability.