Abstract:

Considering an air combat scenario involving two opposed fighters, a decision-making model for air combat maneuvering based on receding horizon control (RHC) is built in order to resolve the complicated problem of air combat decision-making. Adopting artificial potential field (APF), the air combat APF is built. Mainly discusses the APF function and weight function. Method of decision-making for air combat maneuvering based on APF RHC and particle swarm optimization(PSO) is proposed. Simulation results show that the algorithm can avoid the pitfall in local minima of APF, and meliorate the global optimization ability of PSO. The value of artificial potential field can be improved, and the fighter can hold the advantaged situation.