Abstract
The article presents a comparative analysis of three controllers — FLC, PID, and LQR — for precise drone landing under external disturbances such as wind. The simulation was performed in MATLAB/SIMULINK with 3D animated models. The controllers were tested under identical initial conditions, evaluating landing accuracy and execution time. The results showed that the FLC demonstrated robustness to uncertainties (85.47% accuracy, 9.2 s), but required more computational resources. The PID controller provided 90.37% accuracy in 4.5 s, remaining simple and effective. The LQR achieved the best results — 98.98% accuracy in 4.5 s, demonstrating optimality and stability. The choice of controller depends on the conditions: FLC for complex uncertain situations, PID for simple tasks, and LQR for maximum accuracy and stability. The obtained data can be used in the development of drone control systems.