考虑未知约束空间的空地导弹最优弹道预测方法

With the increasing complexity and variability of modern combat tasks, the launch conditions, combat environment, and target characteristics of air-to-ground missiles have become increasingly complex. Traditional missile design relies on a small number of offline typical trajectories, which cannot meet the diverse needs of modern warfare tasks. Online trajectory planning cannot meet the requirements of task speed, so there is an urgent need to develop an optimal trajectory generation method that balances accuracy and speed. This article proposes an optimal trajectory prediction method for air to ground missiles considering unknown constraint spaces. Constructing the optimal trajectory prediction problem for air to ground missiles, the Latin hypercube sampling method and Monte Carlo shooting method are improved based on the characteristics of unknown constraint space prior unknowns. A dynamic Kriging model based optimal trajectory prediction process is proposed, and the accuracy and speed of model prediction are verified for a certain air to ground missile. The results show that the average trajectory inclination angle error predicted by the method proposed in this article at the mid to terminal guidance intersection point is within 0.5°, and the prediction time is only 0.15 s.