Study of FLC, PID, and LQR Control Methods for Precise Drone Landing in Wind Conditions
Ormanov A.N. Dyusekeev K.A. Shidlovskiy S.
2025Abylkas Saginov Karaganda Technical University
Material and Mechanical Engineering Technology
2025#2025Issue 3111 - 119 pp.
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.
drone , drone control , external disturbances , fuzzy logic controller (FLC) , linear-quadratic regulator (LQR) , MATLAB/SIMULINK , PID Controller , precise drone landing , quadcopter
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Astana IT University, Astana, Kazakhstan
L.N. Gumilyov Eurasian National University, Astana, Kazakhstan
National Research Tomsk State University, Tomsk, Russian Federation
Astana IT University
L.N. Gumilyov Eurasian National University
National Research Tomsk State University
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