Design of altitude and rotation control for quadcopter using type-2 fuzzy proportional integral derivative (T2F-PID)

A quadcopter is a type of Unmanned Aerial Vehicles (UAV) that is known for its numerous advantages. A quadcopter has a small, simple design and high maneuverability, such as hovering, landing, and taking off in narrow areas. In several countries, quadcopters have been used as delivery tools, monitor disaster-affected areas, and for other applications. This paper proposes a quadcopter control system that uses a type 2 fuzzy PID. By controlling the speed of the quadcopter, the dynamic system was controlled and stable, and the expected outputs of the quadcopter were the roll angle, pitch angle, yaw angle, and position of Z. Fuzzy logic adjusted the PID component values by increasing or decreasing them when disturbances or changes occurred within the system. The simulation is carried out according to the control design created with MATLAB/Simulink to assess the effectiveness of the PID (Proportional-Integral-Derivative) and T2F-PID (Type-2 Fuzzy PID) controllers. The simulation shows that T2F-PID has better results than PID in controlling the position of z, roll angle, pitch angle, and yaw angle.