Roll Control of Unmanned Aerial Vehicles using Fuzzy Logic

This paper presents an effective methodology for the simplified representation of the kinematics and the horizontal flight control of Unmanned Aerial Vehicles (UAVs). A real UAV has been used as a model in this project. The flight behavior of the UAV has been modeled in terms of simple analytic relationships, which proved very helpful in representing UAV’s actual horizontal motion. A fuzzy controller for the autonomous navigation of UAVs on the horizontal plane, has been developed. The controller inputs are the heading error of the aircraft and its current roll angle, whereas the output is the change command of the roll angle. Despite its simple design, the controller achieved the desired performance as evidenced from various simulated test flights. Key-Words: Unmanned Aerial Vehicles, Roll Control, Kinematics Model, Fuzzy Logic.