Autonomous Penetration Trajectory Control for Time-sensitive Targets and Dynamic Threats

Aiming at the optimization problem of the unmanned aerial vehicle (UAV) trajectory control in ground penetration combat, the 3-DOF particle model and dynamics model of UAV were established in combination with battlefield environment. Constraints such as initial conditions, terminal conditions and flight performance are considered. Considering the radar cross section (RCS), the dynamic RCS threat model is established. The trajectory optimization model of UAV ground penetration operation under the theoretical framework of optimal control rate was constructed, and the autonomous trajectory control of time-sensitive target under uncertain conditions was solved by combining the receding horizon control strategy. On this basis, taking the flight time and threat probability of UAV to combat area as the objective function, an adaptive weighted performance index and switching sub-objective function method are proposed, and the simulation is carried out. The results show that this method can optimize UAV penetration trajectory control more reasonably against time-sensitive targets in complex battlefield environment and multiple constraints, which is beneficial to realize attack mission.