Generation Method of Autonomous Evasive Maneuver Strategy in Air Combat

Abstract

Air combat is usually a continuous process involving multiple rounds of missile attacks, UCAV(Unmanned Combat Aerial Vehicle) should consider the impact of maneuver on the entire air combat countermeasure mission rather than solely focusing on safety factors when evading incoming air to air missiles. In this paper, a method of generating autonomous evasive maneuver strategy in UCAV air combat is proposed under the condition of miss distance and energy dissipation. Firstly, the UCAV-missile three-dimensional space pursuit model and the UCAV autonomous evading state space, action space and reward function model are established. Dueling DDQN (Double Deep Q Network) algorithm is used to solve the model, which integrates Double DQN and Dueling DQN Network model. Simulation experiments and analysis show that the method proposed in this paper has significant effectiveness in solving the problem of autonomous evasive maneuvers in air combat under the conditions of miss distance and energy dissipation tactical requirements. The evasive maneuvers strategy obtained can reflect the two tactical requirements of air combat while ensuring the safety of UCAV itself.