Adaptive Fuzzy Finite-Time Backstepping Control of Nonlinear Systems with Input Constraint and Hysteresis Nonlinearity

被引：0

作者：

Li, Mengmeng ^{[1
]}

Li, Yuan ^{[1
]}

Wang, Qinglin ^{[1
]}

机构：

[1] Beijing Inst Technol, Sch Automat, Beijing 100081, Peoples R China

来源：

2021 PROCEEDINGS OF THE 40TH CHINESE CONTROL CONFERENCE (CCC) | 2021年

基金：

中国国家自然科学基金;

关键词：

Hysteresis; Input Constraint; Backstepping; Fuzzy Logic Systems; Finite Time Tracking; ACTUATOR;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper investigates the adaptive finite-time tracking control issue for a class of nonlinear systems with input constraint, hysteresis nonlinearity, unmeasured states, and external disturbances. Based on the fuzzy logic systems (FLSs), a fuzzy state observer (FSO) is first designed to estimate the unmeasured states. Then, by using the finite-time stability theory, a novel backstepping control scheme is proposed without constructing the hysteresis inverse. The problem of "explosion of complexity" caused by the derivative of virtual controllers is eliminated by utilizing the low-pass filter. Furthermore, a saturation dynamic filter is employed to address the input constraint. It is proved that the proposed controller guarantees that all the closed signals are semi-global practical finite-time stability (SGPFS), and the tracking error converges to a neighbourhood of the origin. Finally, simulation results are presented to validate the effectiveness of the proposed control scheme.

引用

页码：2436 / 2441

页数：6

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