Gain scheduled control based on high fidelity local wind turbine models

被引:46
作者
Bianchi, F. D. [1 ]
Sanchez-Pena, R. S. [2 ,3 ]
Guadayol, M. [4 ]
机构
[1] Catalonia Inst Energy Res IREC, Barcelona 08930, Spain
[2] Consejo Nacl Invest Cient & Tecn, RA-1033 Buenos Aires, DF, Argentina
[3] Inst Tecnol Buenos Aires, Buenos Aires, DF, Argentina
[4] ALSTOM, Barcelona 08005, Spain
关键词
Wind energy; Wind turbine control; Gain-scheduling; High fidelity models; SYSTEMS;
D O I
10.1016/j.renene.2011.06.024
中图分类号
X [环境科学、安全科学];
学科分类号
083001 [环境科学];
摘要
A new design methodology of gain scheduled controllers for wind turbines is presented. The proposed methodology is intended to deal with multi-variable and high order models as those produced by high fidelity aeroelastic simulators. The methodology consists in interpolating the local controller outputs and does not require a uniform state definition either of the local controllers or of the linear models. This allows the design of each controller independently, an essential point in cases of high order models. An aeroelastic model of a typical commercial wind turbine is used to illustrate the methodology. (C) 2011 Elsevier Ltd. All rights reserved.
引用
收藏
页码:233 / 240
页数:8
相关论文
共 19 条
[1]
An overview of wind energy-status 2002 [J].
Ackermann, T ;
Söder, L .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2002, 6 (1-2) :67-128
[2]
Advanced gain-scheduling techniques for uncertain systems [J].
Apkarian, P ;
Adams, RJ .
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 1998, 6 (01) :21-32
[3]
A Review of Modern Wind Turbine Technology [J].
Balat, M. .
ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS, 2009, 31 (17) :1561-1572
[4]
Bianchi F.D., 2006, Wind turbine control systems: principles, modelling and gain scheduling design
[5]
Interpolation for gain-scheduled control with guarantees [J].
Bianchi, Fernando D. ;
Sanchez Pena, Ricardo S. .
AUTOMATICA, 2011, 47 (01) :239-243
[6]
Bossanyi E. A., 2000, Wind energy, V3, P149, DOI [10.1002/we.34.abs, DOI 10.1002/WE.34.ABS]
[7]
Boyd S., 1994, STUDIES APPL MATH, V15
[8]
CHANG YJ, P AM CONTR C, P3082
[9]
ALL OPTIMAL HANKEL-NORM APPROXIMATIONS OF LINEAR-MULTIVARIABLE SYSTEMS AND THEIR L INFINITY-ERROR BOUNDS [J].
GLOVER, K .
INTERNATIONAL JOURNAL OF CONTROL, 1984, 39 (06) :1115-1193
[10]
LAKS J, P AM CONTR C, P2096