Abstract: How to achieve the integration of communication and control is a crucial research topic in the current field of unmanned aerial vehicles(UAV). Targeting the uplink access scenario of UAV-assisted satellite communication, a robust beamforming algorithm integrating communication and control is proposed. Firstly, considering the presence of external interference and only imperfect channel state information, the problem is established as maximizing the ergodic sum-rate constrained by control stability, quality of service, and maximum transmit power. Next, to address this non-convex problem, the Bernstein inequality and the Successive Convex Approximation method are utilized to convert the non-convex constraints into convex constraints, and an alternating optimization algorithm is proposed for the effective solution of the optimization problem. Finally, simulation results demonstrate that the proposed algorithm can effectively enhance the system's ergodic sum-rate while guaranteeing the control stability of the UAV.