反推
微分器
观察员(物理)
控制理论(社会学)
计算机科学
非线性系统
趋同(经济学)
导弹
严格反馈表
理论(学习稳定性)
自适应控制
李雅普诺夫函数
控制器(灌溉)
国家观察员
指数稳定性
导弹制导
Lyapunov稳定性
非线性控制
弹道
鲁棒控制
控制系统
自动驾驶仪
控制工程
收敛速度
数学
控制(管理)
作者
Shenglun Yi,Jiang Wang,Li Bin
出处
期刊:Optik
[Elsevier]
日期:2017-05-29
卷期号:142: 260-272
被引量:20
标识
DOI:10.1016/j.ijleo.2017.05.070
摘要
Abstract A new robust backstepping controller with finite-time convergence for a class of uncertain nonlinear systems has been presented in this paper. The proposed controller is essentially a composite method, which consists of classical backstepping technique, extended state observer (ESO) and finite-time convergent differentiator (FTCD). More specifically, the ESO is used to estimate and compensate the mismatched as well as the matched uncertainties while the FTCD is adopted to compute the time derivatives of the virtual control laws and the reference signal. By effectively real-time estimation of ESO, the presented algorithm requires no information on the lumped uncertainties and the so-called high-gain controller is avoided completely. With the aid of Lyapunov theory, the finite-time stability of the closed-loop system is established in theory. An illustrative example of missile angle-of-attack autopilot design is given and some simulations are carried out to demonstrate the superiority of the proposed method.
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