Fault Detection Algorithm for Wind Turbines’ Pitch Actuator Systems

Gisela Pujol-Vazquez, Leonardo Acho and José Gibergans-Báguena
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Gisela Pujol-Vazquez: Department of Mathematics, Universitat Politècnica de Catalunya (UPC), 08222 Terrassa, Spain
Leonardo Acho: Department of Mathematics, Universitat Politècnica de Catalunya (UPC), 08222 Terrassa, Spain
José Gibergans-Báguena: Department of Mathematics, Universitat Politècnica de Catalunya (UPC), 08222 Terrassa, Spain

Energies, 2020, vol. 13, issue 11, 1-14

Abstract: 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 (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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