Fuzzy model based multivariable predictive control of a variable speed wind turbine: LMI approach

被引：142
作者：
Bououden, S. [2 ]
Chadli, M. [1 ]
Filali, S. [2 ]
El Hajjaji, A. [1 ]
机构：
[1] Univ Picardie Jules Verne, Lab Modelisat Informat & Syst, F-80000 Amiens, France
[2] Univ Constantine, Fac Sci, Lab Automat & Robot, Constantine, Algeria
来源：
RENEWABLE ENERGY | 2012年 / 37卷 / 01期
关键词：
Modeling of wind turbines; Fuzzy systems; Model predictive control; LMI; SYSTEMS;
D O I：
10.1016/j.renene.2011.06.025
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
This paper deals with fuzzy model based multivariable predictive control (FMMPC) for wind turbine generator. Using Linear Matrix Inequalities (LMI) technique combined with predictive approach, a FMMPC law is designed easily by solving a convex optimization problem subject to LMI conditions. Then, such controller is developed to maintain a satisfactory quality of power in high wind speed operating region by reducing mechanical loads. The performances of the wind turbine in terms of wind turbine rotational speed and its stability, relative to wind speed changes, are discussed. The effectiveness and the merit of the proposed approach are shown by simulation results. (C) 2011 Elsevier Ltd. All rights reserved.
引用
收藏
页码：434 / 439
页数：6
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