LOAD SUPPRESSION OF SPAR-TYPES OFFSHORE FLOATING WIND TURBINE BASED ON FUZZY LQR

被引：0
|
作者：
Han Y. [1 ]
Liu S. [1 ]
Yang W. [1 ]
Hou M. [1 ]
机构：
[1] School of Information Science and Electrical Engineering, Shandong Jiaotong University, Ji’nan
来源：
Taiyangneng Xuebao/Acta Energiae Solaris Sinica | 2024年 / 45卷 / 01期
关键词：
fuzzy LQR; loads; offshore wind turbines; optimal control systems;
D O I：
10.19912/j.0254-0096.tynxb.2022-1462
中图分类号：
学科分类号：
摘要：
Complex environmental changes are prone to cause instability of floating offshore wind turbines. A new pitch control scheme which is easy for engineering application is proposed based on fuzzy LQR and fuzzy PI to maintain the output power stabilization of the floating wind turbine，restrain the movement of the floating platform，and reduce the fatigue load of the blade root and tower foundation. The fuzzy PI dynamically selects the desired PI gain according to the variation of the generator rotor speed error. The fuzzy LQR adaptively adjusts the closed-loop feedback gain based on fuzzy rules to further reduce the fatigue load of blade root and tower while ensuring the output power of wind turbine and the stability of floating platform. Co-simulation is executed based on FAST and Matlab/ Simulink to verify the effectiveness and superiority of the proposed scheme under different environmental conditions. The time and frequency domain analysis show that the proposed scheme has a significant improvement in reducing the out-of-plane load at the blade root and the lateral load at the tower base compared with PI control. © 2024 Science Press. All rights reserved.
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页码：188 / 196
页数：8
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