Fault Identification for Systems Described by Nonlinear Models Using Sliding Mode Observers

被引：0

作者：

Zhirabok, Alexey ^{[1
]}

Zuev, Alexander ^{[2
]}

Shumsky, Alexey ^{[3
]}

机构：

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

[2] Inst Automat & Control Proc FEB RAS, Inst Marine Technol Problems, Vladivostok, Russia

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

来源：

PROCEEDINGS OF THE 15TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA 2020) | 2020年

基金：

俄罗斯科学基金会;

关键词：

nonlinear systems; faults; identification; disturbances; sliding mode observers; TOLERANT CONTROL; RECONSTRUCTION;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The paper studies the fault identification problem for nonlinear control systems under the unmatched disturbances. To address the problem, sliding mode observers are used. The suggested approach for constructing sliding mode observer is based on the reduced order model of the initial system. This allows to reduce complexity of sliding mode observer and relax the limitations imposed on the initial system, therefore a class of systems for which sliding mode observers can be constructed is extended.

引用

页码：314 / 319

页数：6

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