攻击机动目标的导弹三维变结构导引律

摘要

针对导弹采用变结构导引律攻击机动目标时,容易引起视线角速率抖动的问题,在变结构控制理论的基础上,利用RBF神经网络具有自主学习的能力,提出了一种基于RBF神经网络的变结构趋近律参数项在线自适应调节的三维导引律,克服了导引过程中变结构趋近律参数项不易确定的缺点,从而降低变结构控制的抖振,提高了导弹的命中精度.仿真结果表明,该导引律有很强的自适应能力和鲁棒性,满足导引要求.%When the missile attacks the maneuvering targets using the variable structure guidance law, chattering of line-of-sight angular rate may happen. A 3-dimensional variable structure guidance law was presented based on RBF neural network adaptive parameter adjustment, which combining the self-learning ability of RBF neural network with the variable structure control theory. It solves the problem of the variable structure that the parameter of it is not easy to be determined. So it can reduce the chattering and improve the missile's attack accuracy. The simulation results show that the new guidance law has strong adaptability and robustness, which can meet the need of guidance.