This paper proposes a comparative assessment between PD and fuzzy controls applied to an autonomous aerial vehicle inspired by owls to accomplish a silent and stable flight. Firstly, the owls' flight is analysed to determine different components of a particular trirotor drone. Afterward a detailed study, the mathematical model is developed using kinematics and aerodynamics laws. Next, the theoretical model is employed to synthesize a control strategy based on PD and then on fuzzy concepts to stabilize the drone in a hovering situation with the adequate altitude and attitude. The fuzzy controller is compared to the PD to display its performances in terms of precision and trajectory tracking.