Nonlinear sliding mode control of flying wing aircraft under wind disturbance

For flying wing aircraft, stabilization has always played a key role, and many studies have focused on stabilization. One major problem is anti-wind disturbance performance. However, few studies have been conducted on this topic. In this paper, a modified nonlinear control strategy is introduced. First of all, the aircraft is modeled in a nonlinear form, and a modified sliding surface is applied. Then, a recurrent neural network is introduced to mitigate the wind affection in different flight situations. Finally, the simulation is applied to prove the effectiveness of the proposed method. The simulation clearly shows that the proposed method works well in a large range of windy environments and flying states, indicating that the proposed method is effective for flying wings in windy environments.