In response to the control problems in landing of UAV, this paper takes the drone of an experimental system as the research object and designs an autonomous landing scheme for the drone. PID control algorithms are designed for attitude control and altitude control during landing. In order to improve the robustness of the system to cope with complex landing conditions, incomplete differential control and fuzzy PID control are proposed to be applied in the control loop, and the algorithms are designed for simulation verification and comparative analysis. Finally, the above three control algorithms were applied to the experimental system of the sample drone. Through simulation, it was found that the lateral and longitudinal attitude control of the drone achieved by these three control methods met the system performance requirements. At the same time, it was also found that compared with conventional PID control, the improved control algorithm has better quality, especially in the case of periodic interference during landing, it has a good inhibitory effect, ensuring the safety of flight landing.