基于模糊神经网络的滑模变结构制导律的研究  

Research on Sliding-mode Variable Structure Guidance Law Based on Fuzzy Neural Network

作　　者：温先福 李刚[1] 张兴[1] 王耀[1] 

机构地区：[1]空军工程大学防空反导学院,西安710051

出　　处：《弹道学报》2014年第4期13-18,共6页Journal of Ballistics

摘　　要：针对滑模变结构制导律难以避免的抖动问题,提出了用模糊神经网络控制去抖动的方法。介绍了滑模变结构控制一般的消除抖动的方法,引出一般的滑模变结构制导律,然后介绍模糊神经网络控制理论,设计出基于模糊神经网络、具有更好去抖动能力的滑模变结构制导律。Matlab弹道仿真表明,与一般的滑模变结构制导律相比,该制导律不仅去抖动效果很好,而且脱靶量非常小,制导精度高,对机动目标的拦截具有非常好的效果。Aiming at the problem that the sliding-mode variable-structure guidance law（SMVSGL） is difficult to avoid the chattering problem,the method of fuzzy neural network was put forward to control shake.The general sliding mode variable structure control method was introduced to e-liminate chattering,and the general SMVSGL was proposed,and then the fuzzy neural network control theory was introduced.Based on fuzzy neural network,SMVSGL with the better competence to controlling shake was designed.The ballistic simulation by Matlab shows that compared with the general SMVSGL,the guidance law has better competence to controlling shake,and the miss distance is very small.The precision is high,and the law has good effect on in-tercepting maneuvering targets.

关 键 词：弹道 滑模变结构 制导律 模糊神经网络 仿真 

分 类 号：TJ765.3[兵器科学与技术—武器系统与运用工程]