A Proportional Digital Controller to Monitor Load Variation in Wind Turbine Systems

José Gibergans-Báguena, Pablo Buenestado, Gisela Pujol-Vázquez and Leonardo Acho
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José Gibergans-Báguena: Department of Mathematics, ESEIAAT-Universitat Politècnica de Catalunya (UPC), 08222 Terrassa, Spain
Pablo Buenestado: Department of Mathematics, EEBE-Universitat Politècnica de Catalunya (UPC), 08019 Barcelona, Spain
Gisela Pujol-Vázquez: Department of Mathematics, ESEIAAT-Universitat Politècnica de Catalunya (UPC), 08222 Terrassa, Spain
Leonardo Acho: Department of Mathematics, ESEIAAT-Universitat Politècnica de Catalunya (UPC), 08222 Terrassa, Spain

Energies, 2022, vol. 15, issue 2, 1-27

Abstract: Monitoring the variation of the loading blades is fundamental due to its importance in the behavior of the wind turbine system. Blade performance can be affected by different loads that alter energy conversion efficiency and cause potential safety hazards. An example of this is icing on the blades. Therefore, the main objective of this work is to propose a proportional digital controller capable of detecting load variations in wind turbine blades together with a fault detection method. An experimental platform is then built to experimentally validate the main contribution of the article. This platform employs an automotive throttle device as a blade system emulator of a wind turbine pitch system. In addition, a statistical fault detection algorithm is established based on the point change methodology. Experimental data support our approach.

Keywords: wind turbine; blade system; load variation; monitoring (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: 2022
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