Research on optimized guidance strategy of High-Spin projectile with corrected fuze

Abstract Correction fuses have been widely used in the information battlefield in recent years due to their advantages of low cost, convenient replacement, and high cost-effectiveness. The high rotation projectile equipped with a correction fuse has complex angular motion due to its rotational stability characteristics during correction. In response to more complicated situations such as marine weather, ocean currents, tides, etc., in maritime combat environments, the correction capability is limited, and the atmospheric environment interference is limited, especially in terms of the longitudinal guidance and control accuracy of the projectile, which is reduced. Aiming at the limitations of traditional guidance and control methods for trajectory correction fuses in actual shooting, this paper analyzes the angular motion law of the correction fuse and proposes an optimized guidance and control strategy based on neural networks. The LSTM algorithm is used to generate a dataset, estimate the longitudinal shooting error under different meteorological environments, and predict and plan the control instructions to improve the guidance accuracy of the trajectory correction fuse.