Guidance law design based on stochastic maneuvering model and impact point predictions

A novel guidance law design method based on impact point predictions is proposed in this paper. A stochastic maneuvering model and the adaptive Kalman filter are used to estimate the projectile states, and predicted impact points are solved analytically. Guidance commands are generated based on errors between predicted impact points and the target. The proposed guidance law is free from projectile aerodynamics data and real-time numerical solutions to projectile equations of motion, which are commonly required by the existing impact point based guidance laws, and thus the on-line computation cost is avoided. Numerical simulations based on the nonlinear model of a spinning artillery rocket are conducted to examine the performance of the proposed guidance law under nominal and perturbed parameter conditions. Performance comparison between the proposed guidance law and the proportional navigation guidance law is also conducted. The results show that the proposed guidance law has better guidance performance than the proportional navigation guidance law in most scenarios. © 2021, Editorial Board of JBUAA. All right reserved.