落点预测导引是一种以预测弹丸落点为基础的导引模式,精确预测落点是提高脉冲末修弹修正效率和射击精度的关键因素。文中在详细分析剩余射程影响因素的基础上,以BP人工神经网络为数学工具,建立了脉冲末修弹剩余射程预测模型。以预测落点偏差为广义弹道偏差,对落点预测导引模式进行深入研究。数值仿真结果表明,基于BP人工神经网络的末修弹落点预测导引模式是合理可行的。

The impact point prediction guidance is a guidance mode based on projectile impact point prediction, so precise impact point prediction is the critical factor to improve the correction efficiency and precision of terminal trajectory correction projectile. After analyzing the influence factors including trajectory highness y, velocity vector V₂ and V, the residual range model of pulsed terminal trajectory correction projectile was set up by using BP artificial neural networks as mathematics tool. The impact point prediction guidance mode was researched deeply based on the gerneral trajectory error of the distance between the target point and the prediction impact point. The numerical simulation indicate that the research on impact point prediction guidance mode of terminal trajectory correction projectile based on BP artificial neural networks is feasible.