With the rapid development and extensive application of UAV (Unmanned Aerial Vehicle) technology in various fields, UAVs are attracting increasing attention. Collaborative task execution between manned and unmanned aircraft has become one of the important trends in the development of UAV technology in order to fully exploit the advantages of UAVs and mitigate their shortcomings. However, the collaborative task planning problem for manned and unmanned aircraft is an extremely complex decision and optimization problem. It is influenced by various constraints such as transmission resources and computing resources. This paper takes collaborative task execution between manned and unmanned aircraft as the background, considering constraints such as manned aircraft, unmanned aircraft, and ground station communication, as well as computing resources of each platform. A mathematical model for collaborative task planning between manned and unmanned aircraft is established, and corresponding solution methods are proposed. The effectiveness of the algorithm and scheduling strategy is verified through simulation experiments.