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In order to improve the security of unmanned aerial vehicle communication networks and solve the problem of communication data error and loss caused by link congestion, a link congestion control method for unmanned aerial vehicle communication networks based on whale optimization algorithm is proposed. The NetFlow technology was used to obtain the real-time operation data of UAV communication link, measure the link utilization rate and other indicators, and identify the congestion status of the current network link. The process of UAV communication and link congestion is simulated, and the network link model is constructed by considering the direct vision path, reflection path and scattering path of UAV communication. Under the constraints of the congestion control protocol of the UAV communication network link, the UAV communication data is balanced and scheduled. The whale optimization algorithm is used to select the optimal solution of the communication link, complete the communication link switching work, and achieve the congestion control task of the UAV communication network link. The experimental results show that: under the control of the optimization design method, the delay of the UAV communication network link has been reduced by 61 seconds, and the throughput has been increased by 135 kbit/s. This proves that the optimization method can effectively alleviate the congestion degree of the link. Through the analysis of the communication network error rate and overflow packet loss rate, it is proved that the optimization control method does not have a significant impact on the communication tasks of the network.