考虑侧窗约束的模型预测静态规划末制导方法

Aiming at the problem that the target is easy to lose in the terminal guidance stage due to the asymmetric field-of-view constraints in the side-window detection mode, a terminal guidance method for side-window detection based on model prediction static programming is proposed. Firstly, a three-dimensional relative motion model is established based on the body line-of-sight coordinate system, and an accurate model independent of the ' small angle of attack' assumption is obtained. Based on the model predictive static programming method to deal with the problem of no process constraints, slack variables and virtual control variables are introduced, and a corresponding terminal guidance algorithm is designed. In order to further reduce the dependence of the terminal guidance algorithm on the initial guess trajectory and improve the adaptability and computational efficiency, a computational strategy of gradually increasing constraints is proposed. The simulation results show that the proposed method satisfies the side-window constraints during the terminal guidance stage. Compared with the convex optimization method, the optimization variables are reduced and the calculation speed is faster. Compared with the terminal guidance law based on the barrier Lyapunov function, the proposed method can adapt to different initial conditions, while satisfying the side-window constraints.