Design of Sliding Mode Observers for TS Fuzzy Systems with Application to Disturbance and Actuator Fault Estimation

被引：23

作者：

Gerland, Patrick ^{[1
]}

Gross, Dominic ^{[2
]}

Schulte, Horst ^{[3
]}

Kroll, Andreas ^{[1
]}

机构：

[1] Univ Kassel, Dept Mech Engn, Inst Measurement & Control, Kassel, Germany

[2] Univ Kassel, Dept Elect Engn, Inst Ctrl Syst Theroy, Kassel, Germany

[3] Univ Appl Sci Berlin, Fac Elect Engn & Automat, Berlin, Germany

来源：

49TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC) | 2010年

关键词：

D O I：

10.1109/CDC.2010.5717065

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 paper an observer-based fault detection approach for a class of nonlinear systems, which can be modeled by Takagi-Sugeno (TS) fuzzy models, is presented. We propose a sliding mode fuzzy observer that deals with unmeasurable premise variables, bounded uncertainties in the plant and allows fault estimation based on an equivalent output error injection approach. Necessary conditions for the existence of the robust observer are derived from sliding mode theory [10]. Stability is ensured by linear matrix inequality (LMI) based sufficient conditions. An illustrative example demonstrates the effectiveness of the proposed scheme.

引用

页码：4373 / 4378

页数：6

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