LAPSE:2023.23481
Published Article
LAPSE:2023.23481
Fault Detection Algorithm for Wind Turbines’ Pitch Actuator Systems
March 27, 2023
A fault detection innovation to wind turbines’ pitch actuators is an important subject to guarantee the efficiency wind energy conversion and long lifetime operation of these rotatory machines. Therefore, a recent and effective fault detection algorithm is conceived to detect faults on wind turbine pitch actuators. This approach is based on the interval observer framework theory that has proved to be an efficient tool to measure dynamic uncertainties in dynamical systems. It is evident that almost any fault in any actuator may affect its historical-time behavior. Hence, and properly conceptualized, a fault detection system can be successfully designed based on interval observer dynamics. This is precisely our main contribution. Additionally, we realize a numerical analysis to evaluate the performance of our approach by using a dynamic model of a pitch actuator device with faults. The numerical experiments support our main contribution.
Keywords
Fault Detection, interval observer, pitch actuator, wind turbines
Suggested Citation
Pujol-Vazquez G, Acho L, Gibergans-Báguena J. Fault Detection Algorithm for Wind Turbines’ Pitch Actuator Systems. (2023). LAPSE:2023.23481
Author Affiliations
Pujol-Vazquez G: Department of Mathematics, Universitat Politècnica de Catalunya (UPC), 08222 Terrassa, Spain [ORCID]
Acho L: Department of Mathematics, Universitat Politècnica de Catalunya (UPC), 08222 Terrassa, Spain [ORCID]
Gibergans-Báguena J: Department of Mathematics, Universitat Politècnica de Catalunya (UPC), 08222 Terrassa, Spain [ORCID]
Journal Name
Energies
Volume
13
Issue
11
Article Number
E2861
Year
2020
Publication Date
2020-06-04
Published Version
ISSN
1996-1073
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Original Submission
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PII: en13112861, Publication Type: Journal Article
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LAPSE:2023.23481
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doi:10.3390/en13112861
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Mar 27, 2023
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