基于自适应反演的导弹滑模控制

阐述了在导弹系统存在不确定性情况下,基于自适应反演控制技术和模糊神经网络理论,提出了一种导弹滑模控制系统设计方法。设计过程中将不确定性对系统的影响合成为一项,然后应用模糊神经逼近器来逼近系统的不确定项;考虑了已知信息,利用自适应模糊神经控制理论和滑模控制设计了控制器,应用Lypunov稳定性理论保证了闭环系统的稳定性,并推导出模糊神经逼近器各参数的自适应调节律。

Sliding Mode Control of Missile Based on Adaptive Backstepping

Based on adaptive backstepping control techniques and fuzzy-neural theory,a sliding mode control scheme is proposed for missile control systems with uncertainties.Firstly,the effect of the uncertainties is synthesized one term in the design procedure.Then fuzzy-neural approximators are designed to approximate the uncertainty function.Considering the known information,the controller is designed using adaptive fuzzy-neural control theory and sliding mode control theory.The Lyapunov stability theory is used to guarantee the closed-loop stability and derive adaptive tuning rules for updateing the parameters of the fuzzy-neural approximator.