In view of role dynamic switching of heterogeneous UAV swarm in air combat tasks, a wolf inspired role matching task division method of UAV swarm in air combat is proposed to improve the dynamic task execution ability to deal with complex air combat environment. Firstly, three individual characteristics of wolves are obtained by analyzing the hunting behavior characteristics of wolves, and the role matching labor division model of wolves is given. And then, based on the similarity of behavior mechanism between UAV swarm and wolf group, the division mechanism of wolf group is mapped to UAV swarm, and a role matching task division model of UAV swarm is proposed. Finally, in view of the target allocation problems under different task division, the target allocation models of attack and guidance tasks are established respectively. The simulation results show that the proposed role matching task division method can effectively solve the problem of dynamic role switching in air combat and improve the overall air combat capability.