Research on Attitude Stability of Quadrotor UAV Based on Fuzzy Control

This research explores the attitude control of Unmanned Aerial Vehicles (UAVs) using fuzzy control theory. As UAV applications expand in military, agriculture, logistics, and surveying, traditional control methods like Proportional-Integral-Derivative (PID) often struggle with dynamic conditions, leading to reduced stability and mission success. Fuzzy control offers adaptability and the ability to handle nonlinearities, addressing uncertainties in UAV flight. By integrating fuzzy control, we achieve rapid and precise adjustments to UAV attitude, enhancing stability and response in complex environments. This study simplifies the control model, improves adaptability, and ensures flight safety through adaptive fuzzy rules. The findings provide new insights and practical solutions for advancing UAV flight control technology, establishing a foundation for broader UAV applications.