Abstract
In this paper, for the UAV attitude angle stabilization system under constant flat wind disturbance, the fuzzy adaptive PID control theory is used to establish the equation of wind disturbance attitude angle stability system. After mastering the control rate of the system, the fuzzy controller is designed by using matlab, and the attitude angle dynamic simulation analysis was carried out. The results show that under the interference of flat wind, the longitudinal attitude of the UAV is changed by interference, and the fuzzy adaptive PD is used to control the attitude angle of the aircraft, which has faster tracking performance, smaller adjustment time than the traditional PD control. Thereby achieving better maneuverability and less steady-state error. Therefore, the fuzzy adaptive PD can better control the attitude stability of the UAV, improve the wind resistance of the UAV, and ensure the flight is safe and reliable.
Highlights
UAVs are subject to various disturbances during flight, and airflow disturbances are the main factors, such as constant wind, rising and falling airflow, eddy currents, etc
Studies have shown that a regular wind will cause changes in the flight path, while turbulence will cause angular motion of the UAV, and any wind disturbance will change the longitudinal attitude of the UAV
In order to analyze the influence of flat wind and vertical wind on the flight control system, it is necessary to establish the transfer function of the UAV based on attitude or speed as the output, so the motion equation of the UAV must be established first
Summary
UAVs are subject to various disturbances during flight, and airflow disturbances are the main factors, such as constant wind, rising and falling airflow, eddy currents, etc. Studies have shown that a regular wind will cause changes in the flight path, while turbulence will cause angular motion of the UAV, and any wind disturbance will change the longitudinal attitude of the UAV. Regular constant winds are often used as the main form of wind disturbance [1]. The motion equation of the UAV is established, and the change and dynamics of the attitude angle of the UAV under the action of the flat wind are analyzed. The motion equation of the UAV is established, and the variation and dynamic performance of the UAV attitude angle under the action of the flat wind are analyzed. The simulation proves that the fuzzy PD controller has better control effect when it is required to accurately realize the flight trajectory, such as automatic landing and directional flight
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