Intelligent decision making for UAV based on Monte Carlo Simulation

Unmanned Air Vehicle (UAV) is an advanced automatic system. In the future, UAV will have an important role. In order to enhance the autonomous capability of UAV, The intelligent maneuver decision-making for UAV is studied. Firstly, a confrontation process based on Monte Carlo simulation is completed, and it is used to predict the maneuver behavior of UAV. Secondly, a multidimensional cloud model is used to access the situation of the UAV after different maneuver behavior. The final maneuver decision is chosen based on the evaluation results. A real-time simulation between UAV of our side and the opposite side under the pairwise confrontation is implemented. The aircraft model in SIMULINK of MATTLAB is used. The simulation result shows that maneuver action from decision making method which is based on Monte Carlo process simulation and multidimensional cloud model evaluation is validity and effective.