Back to Search

A type-2 fuzzy controller for floating tension-leg platforms in wind turbines

Title	A type-2 fuzzy controller for floating tension-leg platforms in wind turbines
Author	Firouzi, Behnam, Alattas, K. A., Bakouri, M., Alanazi, A. K., Mohammadzadeh, A., Mobayen, S., Fekih, A.
Publication Date:	2022-03
Publication Place	- MDPI
Subject	Intelligent control, Learning algorithm, Tension leg platforms (TLP), Type-2 fuzzy control (T2FLC), Wind turbine
Type	Periodical
Language	English
Digital	Yes
Manuscript	No
Library:	Özyeğin University
Library Asset ID	1996-1073
Record ID	490956b3-ac58-496f-96a3-d0df633b7d85
Date	2022-03
Notes	Taif University ; Majmaah University
Sample Text	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.
DOI	10.3390/en15051705
Cilt	15

View in source Özyeğin University Özyeğin University - Historical works, archives, and periodicals search engine

Özyeğin University

A type-2 fuzzy controller for floating tension-leg platforms in wind turbines

Author Firouzi, Behnam, Alattas, K. A., Bakouri, M., Alanazi, A. K., Mohammadzadeh, A., Mobayen, S., Fekih, A.

Publication Date 2022-03

Publication Place - MDPI

Subject Intelligent control, Learning algorithm, Tension leg platforms (TLP), Type-2 fuzzy control (T2FLC), Wind turbine

Type Periodical

Language English

Digital Yes

Manuscript No

Library Özyeğin University

Library Asset ID 1996-1073

Record ID 490956b3-ac58-496f-96a3-d0df633b7d85

Date 2022-03

Notes Taif University ; Majmaah University

Sample Text 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.

DOI 10.3390/en15051705

Cilt 15