2026-04-17T16:46:31Zhttps://riubu.ubu.es/oai/requestoai:riubu.ubu.es:10259/75692023-04-19T08:31:04Zcom_10259_6155com_10259_4266com_10259.4_106com_10259_2604col_10259_6156
Serrano, Carlos
c55736af-5664-4180-ac5c-918d9e1c432d
600
Sierra Garcia, Jesús Enrique
737
600
0000-0001-6088-9954
Santos, Matilde
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2023-03-21T08:18:40Z
2023-03-21T08:18:40Z
2022-11
http://hdl.handle.net/10259/7569
10.3390/jmse10111769
2077-1312
Floating offshore wind turbines (FOWTs) are systems with complex and highly nonlinear
dynamics; they are subjected to heavy loads, making control with classical strategies a challenge. In
addition, they experience vibrations due to wind and waves. Furthermore, the control of the blade
angle itself may generate vibrations. To address this issue, in this work we propose the design of
an intelligent control system based on fuzzy logic to maintain the rated power of an FOWT while
reducing the vibrations. A gain scheduling incremental proportional–derivative fuzzy controller is
tuned by genetic algorithms (GAs) and combined with a fuzzy-lookup table to generate the pitch
reference. The control gains optimized by the GA are stored in a database to ensure a proper operation
for different wind and wave conditions. The software Matlab/Simulink and the simulation tool FAST
are used. The latter simulates the nonlinear dynamics of a real 5 MW barge-type FOWT with irregular
waves. The hybrid control strategy has been evaluated against the reference baseline controller
embedded in FAST in different environmental scenarios. The comparison is assessed in terms of
output power and structure stability, with up to 23% and 33% vibration suppression rate for tower
top displacement and platform pitch, respectively, with the new control scheme. Fatigue damage
equivalent load (DEL) of the blades has been also estimated with satisfactory results.
This work has been partially supported by the Spanish Ministry of Science and Innovation under the project MCI/AEI/FEDER number RTI2018-094902-B-C21 and PDI2021-123543OB-C21.
application/pdf
eng
MDPI
Journal of Marine Science and Engineering. 2022, V. 10, n. 11, 1769
https://doi.org/10.3390/jmse10111769
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-094902-B-C21/ES/ANALISIS Y CONTROL DE UN DISPOSITIVO FLOTANTE HIBRIDO DE ENERGIA EOLICA Y MARINA/
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica, Técnica y de Innovación 2021-2023/PDI2021-123543OB-C21/
Atribución 4.0 Internacional
http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
Wind energy
Floating wind turbine
Pitch control
Fuzzy logic
Structural fatigue
Ingeniería mecánica
Mechanical engineering
Hybrid Optimized Fuzzy Pitch Controller of a Floating Wind Turbine with Fatigue Analysis
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Journal of Marine Science and Engineering
10
11
THUMBNAIL
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Serrano-jmse_2022.pdf
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10259/7569
oai:riubu.ubu.es:10259/7569
2023-04-19 10:31:04.986
Repositorio Institucional de la Universidad de Burgos
bubrep@ubu.es
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