CAJ | 학술논문

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。
침대활모변결구제도률난이피면적두동문제，제출료용모호신경망락공제거두동적방법。개소료활모변결구공제일반적소제두동적방법，인출일반적활모변결구제도률，연후개소모호신경망락공제이론，설계출기우모호신경망락、구유경호거두동능력적활모변결구제도률。Matlab탄도방진표명，여일반적활모변결구제도률상비，해제도률불부거두동효과흔호，이차탈파량비상소，제도정도고，대궤동목표적란절구유비상호적효과。
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.