An anti-disturbance control algorithm for UAV based on attitude fusion filtering is proposed. Analyze UAV flight motion model

build equations of motion constrained by UAV flight attitude parameters

design extended Kalman filter for interference filtering

to achieve integration of flight attitude parameter information

taking attitude fusion error that strapdown inertial navigation transmitted to executor as control objectives to optimize control algorithm. Simulation experimental results show that using the method for UAV attitude information fusion and control and output attitude information parameters have high precision

error converges to the minimum

control performance is good

anti-interference ability is strong

which ensure stability of UAV flight.