Observer-Based Sensor Fault-Tolerant Control With Prescribed Tracking Performance for a Class of Nonlinear Systems

被引：18

作者：

Habibi, Hamed ^{[1
]}

Yazdani, Amirmehdi ^{[2
]}

Darouach, Mohamed ^{[3
]}

Wang, Hai ^{[2
]}

Fernando, Tyrone ^{[4
]}

Howard, Ian ^{[5
]}

机构：

[1] Univ Luxembourg, Interdisciplinary Ctr Secur, Reliabil & Trust, Automat & Robot Res Grp, L-4365 Esch Sur Alzette, Luxembourg

[2] Murdoch Univ, Sch Engn & Energy, Perth, WA 6150, Australia

[3] Univ Lorraine, CRAN, IUT Longwy, CNRS,UMR 7039, F-54400 Cosnes Et Romain, France

[4] Univ Western Australia, Sch Elect Elect & Comp Engn, Perth, WA 6907, Australia

[5] Curtin Univ, Sch Civil & Mech Engn, Perth, WA 6845, Australia

来源：

IEEE TRANSACTIONS ON AUTOMATIC CONTROL | 2023年 / 68卷 / 12期

关键词：

Adaptive sliding mode observer (ASMO); barrier Lyapunov function (BLF); constrained control; prescribed performance bound (PPB); sensor fault; tracking control; STATE; STABILIZATION; DESIGN; INPUT;

D O I：

10.1109/TAC.2023.3296494

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this note, a robust output feedback fault-tolerant control for a high-performance tracking problem of a Lipschitz nonlinear system under simultaneous sensor fault and disturbance is developed. The proposed scheme includes the design of an adaptive sliding mode observer, which recovers the separation principle. A tangent-type barrier Lyapunov function is incorporated in the backstepping framework to maintain the system states in a prescribed performance bound. Moreover, the unknown estimation error is taken into account. Furthermore, the bounded initial condition assumption is relaxed by defining a time variable bound. The effectiveness of the proposed solution is numerically examined on a dc motor model.

引用

页码：8259 / 8266

页数：8

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