Investigating Fault Detection and Diagnosis in a Hydraulic Pitch System Using a State Augmented EKF-Approach

Magnus Færing Asmussen, Henrik C. Pedersen, Lina Lilleengen, Andreas Larsen, Thomas Farsakoglou

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

Abstrakt

Pitch systems impose an important part of today’s wind turbines, where they are both used for power regulation and serve as part of a turbines safety system. Any failure on a pitch system is therefore equal to an increase in downtime of the turbine and should hence be avoided. By implementing a Fault Detection and Diagnosis (FDD) scheme faults may be detected and estimated before resulting in a failure, thus increasing the availability and aiding in the maintenance of the wind turbine. The focus of this paper is therefore on the development of a FDD algorithm to detect leakage and sensor faults in a fluid power pitch system.

The FDD algorithm is based on a State Augmented Extended Kalman Filter (SAEKF) and a bank of observers, which is designed utilizing an experimentally validated model of a pitch system. The SAEKF is designed to detect and estimate both internal and external leakage faults, while also estimating the unknown external load on the system, and the bank of observers to detect sensor drop-outs. From simulation it is found that the SAEKF may detect both abrupt and evolving internal and external leakages, while being robust towards noise and variation in system parameters. Similar it is found that the scheme is able to detect sensor drop-outs, but is less robust towards this.
OriginalsprogEngelsk
TitelASME/BATH 2019 Symposium on Fluid Power and Motion Control
Antal sider10
Vol/bind56
ForlagAmerican Society of Mechanical Engineers
Publikationsdatodec. 2019
ArtikelnummerFPMC2019-1667
ISBN (Elektronisk)978-0-7918-5933-9
DOI
StatusUdgivet - dec. 2019
BegivenhedASME/BATH 2019 Symposium on Fluid Power and Motion Control - Zota Beach Resort, Longboat Key, USA
Varighed: 7 okt. 20199 okt. 2019
http://event.asme.org/FPMC

Konference

KonferenceASME/BATH 2019 Symposium on Fluid Power and Motion Control
LokationZota Beach Resort
LandUSA
ByLongboat Key
Periode07/10/201909/10/2019
Internetadresse

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  • Citationsformater

    Asmussen, M. F., Pedersen, H. C., Lilleengen, L., Larsen, A., & Farsakoglou, T. (2019). Investigating Fault Detection and Diagnosis in a Hydraulic Pitch System Using a State Augmented EKF-Approach. I ASME/BATH 2019 Symposium on Fluid Power and Motion Control (Bind 56). [FPMC2019-1667] American Society of Mechanical Engineers. https://doi.org/10.1115/FPMC2019-1667