DocumentCode
2636352
Title
Design of Turbine Engine Robust Fault Detection with LPV Model
Author
Gou, Linfeng ; Wang, Xin ; Chen, Liang
Author_Institution
Sch. of Power & Energy, Northwestern Polytech. Univ., Xi´´an
fYear
2008
fDate
18-20 June 2008
Firstpage
284
Lastpage
284
Abstract
This paper deals with a problem of turbine engine fault detection in dynamic process by using LPV mathematical model to exactly describe turbine engine dynamic characteristics, eliminate the effects of modeling error. Design robust fault detection filter (FDF) with eigenstructure assignment and realizes disturbance de-coupled with model uncertainty. The simulation results of turbine engine control system sensor fault show that this method has good performance in focusing discrimination in fault signal with modeling error, enhancing the robustness to unknown input, detecting accuracy is high and satisfiying real-time requirement.
Keywords
fault location; mathematical analysis; turbines; LPV mathematical model; LPV model; eigenstructure assignment; robust fault detection filter; turbine engine control system sensor; turbine engine design; Control system synthesis; Engines; Fault detection; Filters; Mathematical model; Robustness; Sensor phenomena and characterization; Sensor systems; Turbines; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Innovative Computing Information and Control, 2008. ICICIC '08. 3rd International Conference on
Conference_Location
Dalian, Liaoning
Print_ISBN
978-0-7695-3161-8
Electronic_ISBN
978-0-7695-3161-8
Type
conf
DOI
10.1109/ICICIC.2008.221
Filename
4603473
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