Abstract: For the problem of autonomous intercepting moving target with air-to-air missiles for an unmanned combat air vehicle, autonomous guiding method based on lead attack aiming errors was studied. The aiming errors were computed by building the motion model of UCAV and the model of lead attack aiming. Then to meet the goal of decreasing the aiming errors during flight control, two maneuver strategies based on model predictive control approach were presented: one used proportional navigation method and the other employed simulated annealing particle swarm optimization algorithm. The simulation result shows that both strategies can implement autonomous intercept for targets with various maneuvers and the later method is better than the former if given the condition of periodic absence of target parameters.

Key words: unmanned combat air vehicle, autonomous intercept, lead attack aiming, model predictive control, proportional navigation, particle swarm optimization