Multiplicative fault estimation using sliding mode observer with application

Author

Chen Wu

Author_Institution

Beijing Inst. of Tracking & Commun. Technol., Beijing, China

fYear

2015

fDate

20-22 May 2015

Firstpage

163

Lastpage

167

Abstract

Sliding mode observer (SMO) plays an important role in system states or faults estimation, where mostly additive faults are considered. Few papers consider multiplicative faults. The paper proposed an approach for multiplicative fault estimation based on SMO, where linear matrix inequality technique is used to calculate the observer gain. A wind turbine fault detection example shows the design procedure of proposed SMO and its usefulness.

Keywords

fault diagnosis; linear matrix inequalities; observers; variable structure systems; wind turbines; SMO; additive fault; design procedure; linear matrix inequality technique; multiplicative fault estimation; observer gain; sliding mode observer; states estimation; wind turbine fault detection; Fault detection; Generators; Mathematical model; Observers; Torque; Wind turbines; fault estimation; linear matrix inequality (LMI); sliding mode observer; state estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Control, Automation and Robotics (ICCAR), 2015 International Conference on

Conference_Location

Singapore

Print_ISBN

978-1-4673-7522-1

Type

conf

DOI

10.1109/ICCAR.2015.7166023

Filename

7166023

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=725765