Improved UCAV Attack Trajectory Planning Algorithm Based on GWO and Dubins Curve

Around the key technology of path planning and attack for unmanned combat air vehicle, this paper sorts out the relevant planning algorithms. Combining the existing planning method based on graywolf optimizer (GWO) and Dubins theory, we improve it in terms of model and algorithm. In terms of model construction, a new terminal constraint using the concept of the launch acceptability regions (LAR) of weapons is designed to introduce attack and weapon elements into the attack trajectory planning problem; at the algorithm level, redesign the coding of GWO to make it more suitable for current operational decision. The simulation and comparison results show the improved algorithm outperforms the traditional algorithm in terms of solution speed and other aspects in the same battlefield environment.