Abstract:

The issue of generating optimal air-to-ground weapon delivery trajectory planning strategy for unmanned combat aerial vehicle (UCAV) is studied. First, high fidelity 3 degrees of freedom(3-DoF) model and dynamic model are built considering initial states constraints, kinematic and dynamic constraints and final states constraints for weapon delivery. Second, to improve the limitation of traditional path planning method which does not consider the dynamic variation of radar cross section (RCS) with attitude angle of UCAV, a dynamic RCS model is used in the threat probability model which combines with trajectory flying time forms the object function. A variable loworder adaptive pseudospectral method is used to get the optimal trajectory. Finally, numerical examples for a minimum timeconsumption trajectory, a static RCS trajectory as well as a dynamic RCS trajectory are used to demonstrate the merits of the dynamic RCS. The result shows that when considering the dynamic RCS, UCAV can change its trajectory and attitude according to the threat which greatly eliminates the probability of being detected. This trajectory planning strategy can greatly improve the precision of states and controls, and can be used for a delicate plan and control of the whole weapon delivery process.