Keywords
Fuzzy PID
Robustness
Regulation speed
Submitted : 2025-05-07
Accepted : 2025-05-22
Published : 2025-06-06
Abstract
During flight operations, quadrotor UAVs are susceptible to interference from environmental factors such as wind gusts, battery depletion, and obstacles, which may compromise flight stability. This study proposes a fuzzy adaptive PID controller (Fuzzy PID) combining PID control with fuzzy logic to achieve self-adaptive adjustment of PID parameters in UAV flight control systems, thereby enhancing system robustness. A quadrotor UAV control model was developed in Simulink, and a Fuzzy PID control system was constructed by integrating fuzzy control logic for simulation and experimental validation. Test results demonstrate that UAVs governed by Fuzzy PID control exhibit faster regulation speed and improved stability when subjected to disturbances.
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