NDLI: Fault tolerant control of an offshore wind turbine model via identified fuzzy prototypes

Content Provider	IEEE Xplore Digital Library
Author	Simani, S. Farsoni, S. Castaldi, P.
Copyright Year	2014
Description	Author affiliation: Dept. of Eng., Univ. of Ferrara, Ferrara, Italy (Simani, S.; Farsoni, S.) \|\| Dipt. di Ing. dell'Energia Elettr. e dell'Inf., Univ. di Bologna, Bologna, Italy (Castaldi, P.)
Abstract	In order to improve the safety, the reliability, the efficiency, and the sustainability of offshore wind turbine installations, thus avoiding expensive unplanned maintenance, the accommodation of faults in their earlier occurrence is fundamental. Therefore, the main contribution of this work consists of the development of a fault accommodation scheme applied to the control of a wind turbine nonlinear model. In particular, a data-driven strategy relying on fuzzy models is exploited to build the fault tolerant control scheme. Fuzzy theory is exploited here since it allows to approximate easily the unknown nonlinear model and manage uncertain data. Moreover, the fuzzy prototypes, which are directly identified from the wind turbine measurements, provide the reconstruction of the considered faults, thus leading to the direct design of the fault tolerant control module. In general, the nonlinearity of wind turbine system could generate complex analytic solutions. This aspect of the work, followed by the simpler strategy relying on fuzzy prototypes, represents the key point when on-line implementations are considered for a viable application of the proposed methodology. A realistic offshore wind turbine simulator is used to validate the achieved performances of the suggested methodology. Finally, comparisons with different fault tolerant control methods serve to highlight the advantages of the suggested approach.
Starting Page	486
Ending Page	491
File Size	246986
Page Count	6
File Format	PDF
ISBN	9781479950119
DOI	10.1109/CONTROL.2014.6915188
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-07-09
Publisher Place	UK
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fault tolerance Adaptation models Fault tolerant systems Estimation Rotors Control systems Wind turbines
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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