Intelligent Deformation Decision Algorithm for Morphing Aircraft with Distributed Seamless Wing

Aiming at the deformation decision-making problem of morphing aircraft, an intelligent deformation decision-making method based on Deep Deterministic Policy Gradient (DDPG) is proposed. Firstly, the dynamic model of the aircraft is established, and the aerodynamic parameters of the aircraft are obtained by computational fluid dynamics (CFD). Secondly, considering the performance indexes including optimal lift-drag ratio and control error of altitude loop, an intelligent deformation decision-making algorithm based on DDPG is designed. Furthermore, the intelligent agent of morphing aircraft with PID controller is trained to obtain the optimal configuration decision under given angle of attack (AOA) trajectory in real time. Finally, the simulation results show that the proposed algorithm can realize the AOA command tracking of the optimal lift-drag ratio. Compared with the traditional aircraft, the lift-drag ratio in different AOA can be optimized by morphing, and the attitude dynamic tracking error can be further reduced.