Disturbance Error Correction Algorithm for UAV Flight Control Based on Adaptive Backstepping Integral

The gas dynamic features of Unmanned Aerial Vehicle (UAV) cause flight attitude control error in aerodynamic disturbances, it need for stability flight control design of UAV, to improve the UAV flight stability property. Under the condition of large disturbance, the uncertainty of parameters of flight control model is caused by the drastic change of the air resistance and other parameters of the UAV. An error correction algorithm for UAV flight control is proposed based on adaptive backstepping integral. UAV longitudinal motion model is established, and the UAV control parameter constraint model is established in velocity coordinate system and body coordinate system, ballistic coordinate and ground coordinate system. The longitudinal motion mathematical model of UAV is established. According to the principle of Lyapunove stability control, adaptive nonlinear tracking controller is designed. On the output terminal, adaptive inversion integral term is introduced, and the global asymptotic tracking error compensation is taken to improve the stability of flight control. Simulation results show that the proposed algorithm can effectively improve adaptive guidance performance of flight control, and the attitude angle error converges to zero, and the performance is better.