Fault Identification in Nonlinear Systems not Satisfying Matching and Minimum Phase Conditions

被引：0

作者：

Zhirabok, Alexey N. ^{[1
,2
]}

Zuev, Alexander V. ^{[2
]}

Shumsky, Alexey E. ^{[3
]}

机构：

[1] Far Eastern Fed Univ, Dept Automat & Robot, Vladivostok 690950, Russia

[2] Inst Marine Technol Problems, Dept Intelligent Control, Vladivostok 690950, Russia

[3] Far Eastern Fed Univ, Dept Management, Vladivostok 690950, Russia

来源：

IFAC PAPERSONLINE | 2021年 / 54卷 / 14期

基金：

俄罗斯基础研究基金会;

关键词：

Nonlinear systems; sensors; faults; identification; sliding mode observers; reduced order models; SLIDING MODE OBSERVERS; STATE ESTIMATION; TOLERANT CONTROL; LINEAR-SYSTEMS; RECONSTRUCTION; SENSOR; ACTUATOR; DIAGNOSIS; INPUT;

D O I：

10.1016/j.ifacol.2021.10.321

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The paper studies the fault identification problem for nonlinear control systems under the unmatched disturbances. A novel approach to construct sliding mode observer is proposed for systems that do not satisfy common conditions required for fault estimation, in particular, minimum phase, matching, and detectability conditions. The suggested approach is based on the reduced order model of the original system invariant with respect to the disturbances. This allows to reduce complexity of sliding mode observer and relax the limitations imposed on the original system. Copyright (C) 2021 The Authors.

引用

页码：13 / 18

页数：6

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