一种新型六自由度BP神经网络最优中制导规律研究

A New Six-Degree-of-Freedom Optimal Midcourse Guidance Law Using Neural Network

对于六自由度中远程导弹制导系统，提出了一种新型的基于BP神经网络最优中制导律，这种制导规律能在中制导时只使用导弹数据而不使用目标数据，这样可以使神经网络的结构减小，计算速度提高。研究和仿真分析表明，这种新型的六自由度BP神经网络最优中制导律与其他末制导律配合。可有效提高导弹拦截机动目标的性能。

This paper presents a new six-degree-of-freedom optimal midcourse guidance law using BP neural network for six-degree-of-freedom long-range missile guidance system. This law requires only parameters associated with the movement of missile, so it has simpler network construction and faster operating speed. Above conclusions are proved by the simulation results of 6 DOF flight trajectory. The study and simulation results show that this guidance law cooperated with others terminal guidance law can increase the performance for intercepting maneuvering target.