Aircraft Intelligent Guidance Technology for Evasion and Penetration

In this paper, in order to improve the performance of aircraft evasion and penetration, an intelligent guidance algorithm is proposed by combining twin delayed deep deterministic policy gradient (TD3) and interfered fluid dynamical system (IFDS). First, the guidance model and simulation environment are established. On this basis, the basic guidance algorithm IFDS and the deep reinforcement learning method TD3 are introduced respectively, and the intelligent guidance algorithm is designed. Then, this paper compares and analyzes the simulated flight path of the aircraft obtained by the traditional guidance algorithm and the intelligent guidance algorithm. Finally, simulations show that the intelligent guidance algorithm can guide the aircraft to avoid obstacles and missiles, and demonstrate the advantages of the intelligent guidance algorithm.