LAPSE:2023.14949
Published Article
LAPSE:2023.14949
A Type-2 Fuzzy Controller for Floating Tension-Leg Platforms in Wind Turbines
March 2, 2023
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.
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.
Record ID
Keywords
intelligent control, learning algorithm, tension leg platforms (TLP), type-2 fuzzy control (T2FLC), wind turbine
Subject
Suggested Citation
Firouzi B, Alattas KA, Bakouri M, Alanazi AK, Mohammadzadeh A, Mobayen S, Fekih A. A Type-2 Fuzzy Controller for Floating Tension-Leg Platforms in Wind Turbines. (2023). LAPSE:2023.14949
Author Affiliations
Firouzi B: Vibrations and Acoustics Laboratory (VAL), Mechanical Engineering Department, Ozyegin University, Istanbul 34794, Turkey [ORCID]
Alattas KA: Department of Computer Science and Artificial Intelligence, College of Computer Science and Engineering, University of Jeddah, Jeddah 21959, Saudi Arabia [ORCID]
Bakouri M: Department of Medical Equipment Technology, College of Applied Medical Science, Majmaah University, Majmaah 11952, Saudi Arabia; Department of Physics, College of Arts, Fezzan University, Traghen 71340, Libya [ORCID]
Alanazi AK: Department of Chemistry, Faculty of Science, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia [ORCID]
Mohammadzadeh A: Institute of Research and Development, Duy Tan University, Da Nang 550000, Vietnam; School of Engineering and Technology, Duy Tan University, Da Nang 550000, Vietnam [ORCID]
Mobayen S: Future Technology Research Center, National Yunlin University of Science and Technology, Douliu 64002, Taiwan [ORCID]
Fekih A: Department of Electrical and Computer Engineering, University of Louisiana at Lafayette, Lafayette, LA 70504, USA [ORCID]
Alattas KA: Department of Computer Science and Artificial Intelligence, College of Computer Science and Engineering, University of Jeddah, Jeddah 21959, Saudi Arabia [ORCID]
Bakouri M: Department of Medical Equipment Technology, College of Applied Medical Science, Majmaah University, Majmaah 11952, Saudi Arabia; Department of Physics, College of Arts, Fezzan University, Traghen 71340, Libya [ORCID]
Alanazi AK: Department of Chemistry, Faculty of Science, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia [ORCID]
Mohammadzadeh A: Institute of Research and Development, Duy Tan University, Da Nang 550000, Vietnam; School of Engineering and Technology, Duy Tan University, Da Nang 550000, Vietnam [ORCID]
Mobayen S: Future Technology Research Center, National Yunlin University of Science and Technology, Douliu 64002, Taiwan [ORCID]
Fekih A: Department of Electrical and Computer Engineering, University of Louisiana at Lafayette, Lafayette, LA 70504, USA [ORCID]
Journal Name
Energies
Volume
15
Issue
5
First Page
1705
Year
2022
Publication Date
2022-02-24
ISSN
1996-1073
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Original Submission
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PII: en15051705, Publication Type: Journal Article
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LAPSE:2023.14949
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https://doi.org/10.3390/en15051705
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Mar 2, 2023
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