基于RBF的带落角约束的最优滑模导引律设计  

Design of an Optimal Sliding Mode Guidance Law with Terminal Angle Constraint Based on RBFNN

作　　者：卢春燕[1] 周德云[1] 张堃[1] 阳治平[2] 

机构地区：[1]西北工业大学,西安710129 [2]成都飞机工业(集团)有限责任公司,成都610092

出　　处：《电光与控制》2012年第5期20-23,35,共5页Electronics Optics & Control

基　　金：航空科学基金(20080553019)

摘　　要：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。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.

关 键 词：精确制导 RBF网络 落角约束 最优控制 变结构控制 

分 类 号：V271.4[航空宇航科学与技术—飞行器设计] TJ765.3[兵器科学与技术—武器系统与运用工程]