Intelligent Air Combat Maneuvering Decision Method of Multi-UAV System Based on TA-MASAC

To meet the cooperation needs of multiple UAVs in the three-dimensional air combat environment, a multi-agent soft actor-critic algorithm based on the maximum entropy and target allocation named TA-MASAC is proposed. Firstly, this paper expands the air combat environment from two-dimensional to three-dimensional and constructs a multi-UAV air combat mission model and decision-making model in the three-dimensional environment. Then, a multi-UAV countermeasure target allocation based on the Hungarian algorithm is proposed, which is introduced into the MASAC algorithm to explore strategies under the condition of effective cluster coordination. Finally, a 2vs2 multi-UA V air combat simulation is carried out, and the proposed algorithm has proved its feasibility and effectiveness.