Fuzzy backstepping control for enhanced stability of a quadrotor unmanned aerial vehicle

Abstract

This paper presents a robust fuzzy backstepping control approach to enhance the stability and maneuverability of a Quadrotor Unmanned Aerial Vehicle (UAV). The proposed design combines the robustness of backstepping control with the adaptability of fuzzy logic to address uncertainties and disturbances commonly encountered in UAV dynamics. By incorporating fuzzy logic, the controller can adapt to changing environmental conditions, ensuring reliable performance in various flight scenarios. The backstepping technique enables systematic handling of nonlinear dynamics and achieves precise tracking of desired trajectories. Extensive simulations demonstrate the effectiveness of the proposed control strategy in stabilizing the UAV and enabling agile maneuvers, even in the presence of disturbances and model uncertainties. These results highlight the potential of the proposed approach to enhance the robustness and agility of Quadrotor UAVs in real-world applications.