Abstract: In order to solve the problem of inefficiency of traditional bird-driving methods at the Airport，this paper introduces the technology of multi-UAVs cooperation into this field． We study a bird-driving technology by using multi-UAVs cooperative． Based on the self-created“bird-ambushed”strategy，a mission planning model is built and a task assignment method is designed based on genetic algorithm． In order to evaluate the parameters of bird strike threat，the UAV interception efficiency which are the preconditions of the mission planning． The reasoning tree analysis and fuzzy logic analysis were introduced to optimize the parameters，respectively． In order to ensure the actual effect of mission planning，multiple constraints are designed，and the mission time of UAV is estimated based on proportional guidance law． The numerical simulation results show that，under the condition of multiple constraints and multiple bird targets simultaneously，the developed method can effectively accomplish the work of multi-UAVs cooperative bird-driving．

Key words: unmanned aerial vehicle ( UAV) , bird drive, task assignment, genetic algorithm, inference tree