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Development and validation of failure detection and design of fault-tolerant control strategies with application in offshore wind energy plants

Total activity: 21
Type of activity
Competitive project
Funding entity
Funding entity code
134.431,00 €
Start date
End date
Since the maintenance is among the factors that increase more the total cost of offshore wind projects, the most effective way to reduce
costs is to continuously monitor the status of these systems. Clearly, improvements in detection and identification of faults and fault
tolerant control play a vital role in ensuring the availability of wind turbines in various normal or abnormal operating conditions, minimizing
the number of unscheduled maintenance, prevent unnecessary replacements of components and prevent that a minor fault could end up
causing a catastrophic failure.
Based on the pattern recognition paradigm for the detection of structural defects, this subproject will develop new robust strategies for wind
turbines working under varying environmental and load conditions. The principle of guided elastic waves will be applied, as well as the
dynamic response of the structure as a function of the unknown environmental excitation (e.g. wind). The proposed methods will be
focused on multivariate data analysis using statistical modeling.
So far, most of the publications in the field of fault-tolerant control are focused in the design of algorithms, neglecting its realistic application
in the supervisory system of the turbine. In this subproject, by contrast, restrictions due to uncertainties in the fault detection system, the
delay in the reconfiguration of the controller, and limitations due to the real-time application will be considered. In particular, reconfiguration
systems that take information on the magnitude of the error will be proposed, and the controller parameters will be adjusted in order to
keep the tracking error constraints or, alternatively, modify those restrictions. It is vital that severe failures are detected quickly and with
high reliability and control reconfiguration is performed in a short time. For this, new methods based on models will be developed, since the
signal processing techniques in general, do not allow such a quick detection, which is vital in this type of failures.
The objectives of this subproject are the development and validation of new numerical methods for fault detection and identification
strategies and fault tolerant control, with emphasis on the industrial sector of offshore wind turbines. The subproject integrates basic
research with the development of algorithms that take into account practical aspects of their real applicability, then these algorithms can be
validated in experimental tests by IKERLAN subproject. This subproject will lead the dissemination of research findings in leading scientific
journals and national and international conferences.
Adm. Estat
Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016
Call year
Funcding program
Programa Estatal de I+D+i Orientada a los Retos de la Sociedad
Funding call
Retos de Investigación: Proyectos de I+D+i
Grant institution
Gobierno De España. Ministerio De Economía Y Competitividad, Mineco


Scientific and technological production

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