Title :
Multiplicative fault estimation using sliding mode observer with application
Author_Institution :
Beijing Inst. of Tracking & Commun. Technol., Beijing, China
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;
Conference_Titel :
Control, Automation and Robotics (ICCAR), 2015 International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4673-7522-1
DOI :
10.1109/ICCAR.2015.7166023