Robust blade pitch control of semi-submersible floating offshore wind turbines based on the modified super-twisting sliding-mode algorithm

被引:0
作者
Liu, Yong-Chao [1 ]
Basbas, Hedi [1 ]
Laghrouche, Salah [1 ]
机构
[1] Univ Bourgogne Franche Comte, UMR 6174, Energy Dept, FEMTO ST Inst,Energy Dept,CNRS,UTBM, F-90010 Belfort, France
来源
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS | 2024年 / 361卷 / 18期
关键词
Blade pitch control; semi-submersible floating offshore wind turbine; sliding-mode control; modified super-twisting algorithm; FAULT-TOLERANT CONTROL; DIAGNOSIS; SYSTEM; OUTPUT;
D O I
10.1016/j.jfranklin.2024.107279
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, a novel robust collective blade pitch controller (CBPC) is proposed for the semisubmersible floating offshore wind turbine (FOWT) above the rated wind speed. The proposed CBPC is based on the modified super-twisting sliding-mode (MSTSM) algorithm. Firstly, based on a control-oriented model of the semi-submersible FOWT, the dynamics of the rotor speed and the platform pitch rate considering the lumped disturbances, which consist of external disturbances, parametric uncertainties and unmodeled dynamics, are derived. Afterward, the MSTSM algorithm-based CBPC (MSTSM-CBPC) is designed for regulating the generator power to its rated value and reducing the platform pitching motion. Comparative co-simulation tests among the gain-scheduling proportional-integral CBPC, the standard STSM algorithm-based CBPC and the proposed MSTSM-CBPC are performed. Simulation results validate the effectiveness and the superiority of the proposed MSTSM-CBPC.
引用
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页数:20
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