Fault Detection and Classification in Quadcopter Dynamics

Abstract

Unmanned Aerial Vehicles (UAVs) have revolutionized applications across diverse industries, reshaping traditional approaches to task execution. Among the various UAV models, quadcopters have gained significant popularity due to their unique four-rotor design, which provides inherent stability and exceptional maneuverability. These features contribute to their high efficiency in a wide range of applications. This work focuses on the simulation of a quadcopter system using PID and fuzzy logic controllers within the MATLAB/Simulink environment. A comprehensive performance comparison is conducted, particularly evaluating the controllers' responses to unexpected events or faults in the quadcopter system. The findings offer valuable insights into the robustness and reliability of each control method, enhancing the potential for optimized UAV operations.