基于RBF的带落角约束的最优滑模导引律设计

摘要

According to the performance of anti-aircraft missile in target attacking, a new guidance law with optimal sliding mode and terminal angle constraint was designed based on Radial Basis Function Neural Network ( RBFNN). At first, the optimal sliding mode guidance law based on the LOS angle and the LOS angular rates was designed using optimal control theory and variable structure theory. Then, the RBFNN was applied to adjust the gain of the sliding model. Simulation results show that the guidance law can reduce the chattering, meet the requirement of both precision and angle constraint, and has better robustness for target maneuvering.%根据防空导弹打击目标的作战特点,提出一种基于RBF网络的带终端落角约束的最优滑模变结构导引律.首先应用最优控制理论和变结构控制理论设计基于视线角和视线角速度的最优滑模变结构导引律,然后应用RBF网络对所设计导引律中的变结构项的增益进行调节.仿真结果表明,所提出的导引律不仅能减弱系统抖振,而且能够同时满足命中精度和命中期望角的要求,对目标机动具有很好的鲁棒性.