从鸟群群集飞行到无人机自主集群编队

无人机可通过自主集群编队提高其在复杂环境下执行任务的能力.多飞行器并存导致系统协调管理难度提升等一系列问题，因此如何设计合理高效的无人机集群编队协调自主控制算法是一个亟待解决的难点问题.在鸟群群集飞行过程中，个体通过遵循简单行为规则进行相互合作而产生复杂有序的集体行为.由于鸟群群集飞行过程中所表现出的邻近交互性、群体稳定性和环境适应性等特点与无人机集群编队的自主、协调和智能等控制要求有着紧密的契合之处，因此，研究鸟群群集飞行机制，并将其映射到无人机集群系统，是解决无人机集群编队协调自主控制问题的一条切实可行的途径. 

From collective flight in bird flocks to unmanned aerial vehicle autonomous swarm formation

The mission abilities of unmanned aerial vehicles (UAVs) under complex environments will be improved by autonomous swarm formations. The coexistence of multiple aircrafts raises a series of problems, such as growing difficulties in coordinated managements. As a result, the design of the UAV swarm formation coordinated autonomous control algorithm is an urgent and crux problem. During the process of collective flight in bird flocks, complex and orderly collective behaviors emerges after the cooperation among individuals based on simple behavior rules. Due to the agreement between the autonomous, coordinated and intelligent control requirements of UAV swarm formations and the characteristic of bird flock collective flight such as adjacent interactions, group stabilities and environment adaptions, the study on the mechanism of collective flight in bird flocks and the mapping relationship between bird flocks and UAV swarm systems will give a feasible way to solve the UAV swarm formation coordinated autonomous control problem.