Health-aware Model Predictive Control of Wind Turbines using Fatigue Prognosis

Hector Eloy Sanchez Sardi, Teressa Escobet, Vicenc Puig, Peter Fogh Odgaard

Research output: Contribution to journalConference article in JournalResearchpeer-review

20 Citations (Scopus)

Abstract

Wind turbines components are subject to considerable fatigue due to extreme
environmental conditions to which are exposed, especially those located offshore. Interest in the integration of control with fatigue load minimization has increased in recent years. The integration of a system health management module with the control provides a mechanism for the wind turbine to operate safely and optimize the trade-off between components life and energy production.
The research presented in this paper explores the integration of model predictive control (MPC) with fatigue-based prognosis approach to minimize the damage of wind turbine components (the blades). The controller objective is modified by adding an extra criterion that takes into account the accumulated damage. The scheme is implemented and tested using a high fidelity simulator
of a utility scale wind turbine.
Original languageEnglish
Book seriesI F A C Workshop Series
Volume48
Issue number21
Pages (from-to)1363-1368
ISSN1474-6670
DOIs
Publication statusPublished - Sept 2015
Event9th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes - Paris, France
Duration: 2 Sept 20154 Sept 2015
Conference number: 9

Conference

Conference9th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes
Number9
Country/TerritoryFrance
CityParis
Period02/09/201504/09/2015

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