DDPG方法在抖振约束下变弯度翼型/机翼设计的应用研究OACSTPCD

The application of the variable camber technology has promising results in improving the lift-to-drag performance during the cruise phase,particularly under multi-lift conditions.This improvement is crucial for enhancing the economic benefits of the entire flight.A smooth and continuous flow separation function was de-veloped to constrain the buffeting performance.An optimization model for cruise performances under multi-lift conditions of wing cross sections was constructed through combination of this function with the variable cam-ber technology and an artificial neural network surrogate model.The deep deterministic policy gradient(DDPG)method was used to optimize this model,resulting in a cruise average lift-to-drag ratio improvement of 6.8%under buffeting constraints.This improvement surpasses the results obtained by other optimization al-gorithms,such as the particle swarm optimization(PSO)and the improved gray wolf optimization(GWO).The results of the generation and analysis of 2 conical swept wings with the unoptimized and optimized airfoils,show the contribution of the 2D variable camber airfoil optimization to 3D wings.