动能拦截器末制导启控点的BP网络方法

为了提高拦截精度并减少燃料消耗,研究了动能拦截器KKV(Kinetic Kill Vehicle)比例末制导律下末制导启控点的选择问题.定义了末段制导启控时的期望位置;通过BP(Back Propagation)网络研究期望位置和目标弹道角之间的非线性关系;利用训练后的网络输出期望位置,仿真实验证实期望位置下启控末制导,可以有效地保证拦截精度并减少末制导过程的燃料总消耗.利用该方法获得的期望位置可以实时指导KKV在中末制导交班段调整自身位置. 

BP networks method of handing-over point of KKV

To reduce the missing distance and lessen energy consumption,the handing-over point with regard to proportional guidance law was analyzed for KKV(kinetic kill vehicle).The expected position of handing-over point was defined;the approximate nonlinear relationship between the expected position and the trajectory angles of the target was investigated by a BP neural networks.The expected position was obtained by the trained network.Simulation experiments prove that starting terminal guidance at the expected position could lessen energy consumption effectively as well as assure the required interception accuracy.The expected position obtained by this means is a real-time reference standard for adjusting the position of KKV during handing-over phase.