Gain-scheduling control of a floating offshore wind turbine above rated wind speed

被引：33

作者：

Bagherieh O. ^{[1
]}

Nagamune R. ^{[2
]}

机构：

[1] Department of Mechanical Engineering, University of California at Berkeley, 5146 Etcheverry Hall, Berkeley, 94720, CA

[2] Department of Mechanical Engineering, University of British Columbia, 6250 Applied Science Lane, Vancouver, V6T1Z4, BC

来源：

Control Theory and Technology | 2015年 / 13卷 / 02期

基金：

加拿大自然科学与工程研究理事会;

关键词：

above rated wind speed; floating offshore wind turbines; gain-scheduling control; linear parameter-varying model; platform motion; power capture; Wind energy;

D O I：

10.1007/s11768-015-4152-0

中图分类号：

学科分类号：

摘要：

This paper presents an application of gain-scheduling (GS) control techniques to a floating offshore wind turbine on a barge platform for above rated wind speed cases. Special emphasis is placed on the dynamics variation of the wind turbine system caused by plant nonlinearity with respect to wind speed. The turbine system with the dynamics variation is represented by a linear parameter-varying (LPV) model, which is derived by interpolating linearized models at various operating wind speeds. To achieve control objectives of regulating power capture and minimizing platform motions, both linear quadratic regulator (LQR) GS and LPV GS controller design techniques are explored. The designed controllers are evaluated in simulations with the NREL 5MWwind turbine model, and compared with the baseline proportional-integral (PI) GS controller and non-GS controllers. The simulation results demonstrate the performance superiority of LQR GS and LPV GS controllers, as well as the performance trade-off between power regulation and platform movement reduction. © 2015, South China University of Technology, Academy of Mathematics and Systems Science, Chinese Academy of Sciences and Springer-Verlag Berlin Heidelberg.

引用

页码：160 / 172

页数：12

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