A Type-2 Fuzzy Controller for Floating Tension-Leg Platforms in Wind Turbines

This paper proposes a type-2 fuzzy controller for floating tension-leg platforms in wind turbines. Its main objective is to stabilize and control offshore floating wind turbines exposed to oscillating motions. The proposed approach assumes that the dynamics of all units are completely unknown. The l...

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Published inEnergies (Basel) Vol. 15; no. 5; p. 1705
Main Authors Firouzi, Behnam, Alattas, Khalid A., Bakouri, Mohsen, Alanazi, Abdullah K., Mohammadzadeh, Ardashir, Mobayen, Saleh, Fekih, Afef
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.03.2022
Subjects
Algorithms
Alternative energy sources
Controllers
Decision making
Design
Distance learning
Fuzzy logic
Fuzzy sets
intelligent control
learning algorithm
Methods
Renewable resources
Systems stability
tension leg platforms (TLP)
Turbines
type-2 fuzzy control (T2FLC)
wind turbine
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Abstract This paper proposes a type-2 fuzzy controller for floating tension-leg platforms in wind turbines. Its main objective is to stabilize and control offshore floating wind turbines exposed to oscillating motions. The proposed approach assumes that the dynamics of all units are completely unknown. The latter are approximated using the proposed Sugeno-based type-2 fuzzy approach. A nonlinear Kalman-based algorithm is developed for parameter optimization, and linear matrix inequalities are derived to analyze the system’s stability. For the fuzzy system, both rules and membership functions are optimized. Additionally, in the designed approach, the estimation error of the type-2 fuzzy approach is also considered in the stability analysis. The effectiveness and performance of the proposed approach is assessed using a simulation study of a tension leg platform subject to various disturbance modes.
AbstractList This paper proposes a type-2 fuzzy controller for floating tension-leg platforms in wind turbines. Its main objective is to stabilize and control offshore floating wind turbines exposed to oscillating motions. The proposed approach assumes that the dynamics of all units are completely unknown. The latter are approximated using the proposed Sugeno-based type-2 fuzzy approach. A nonlinear Kalman-based algorithm is developed for parameter optimization, and linear matrix inequalities are derived to analyze the system’s stability. For the fuzzy system, both rules and membership functions are optimized. Additionally, in the designed approach, the estimation error of the type-2 fuzzy approach is also considered in the stability analysis. The effectiveness and performance of the proposed approach is assessed using a simulation study of a tension leg platform subject to various disturbance modes.
Author Fekih, Afef
Alanazi, Abdullah K.
Mohammadzadeh, Ardashir
Firouzi, Behnam
Alattas, Khalid A.
Bakouri, Mohsen
Mobayen, Saleh
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  fullname: Fekih, Afef
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Snippet This paper proposes a type-2 fuzzy controller for floating tension-leg platforms in wind turbines. Its main objective is to stabilize and control offshore...
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SubjectTerms Algorithms
Alternative energy sources
Controllers
Decision making
Design
Distance learning
Fuzzy logic
Fuzzy sets
intelligent control
learning algorithm
Methods
Renewable resources
Systems stability
tension leg platforms (TLP)
Turbines
type-2 fuzzy control (T2FLC)
wind turbine
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Title A Type-2 Fuzzy Controller for Floating Tension-Leg Platforms in Wind Turbines
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