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.
Highlights
Wind energy has been one of the fastest growing renewable energy sources in the world
The second technique is associated with tension leg platform (TLP) rigs, which achieve static stability using tensile restraining cables and floating force resulting from the presence of a tank at the bottom of the tower
Given that only old fuzzy systems were addressed in previous studies, this paper aims to design a control system based on a type-2 Sugeno fuzzy systems and square-root cubature Kalman filter (SCKF) and compare its performance with previous classical methods
Summary
Alattas 2 , Mohsen Bakouri 3,4, * , Abdullah K. Alanazi 5 , Ardashir Mohammadzadeh 6,7, * , Saleh Mobayen 8, * and Afef Fekih 9. Future Technology Research Center, National Yunlin University of Science and Technology, Douliu 64002, Taiwan
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