Fuzzy model based multivariable predictive control of a variable speed wind turbine: LMI approach
Fuzzy model based multivariable predictive control of a variable speed wind turbine: LMI approach
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DOI：
10.1016/j.renene.2011.06.025
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发表时间：
2012-01-01
期刊：
影响因子：
8.7
通讯作者：
El Hajjaji, A.
中科院分区：
文献类型：
--
作者：
Bououden, S.;Chadli, M.;El Hajjaji, A.
研究了基于模糊模型的风力发电机组多变量预测控制。将线性矩阵不等式（LMI）技术与预测方法相结合，通过求解线性矩阵不等式条件下的凸优化问题，轻松地设计了FMMPC律。然后，通过减小机械负荷，研制出高风速工况下保持满意电力质量的控制器。从风力机转速及其相对于风速变化的稳定性方面讨论了风力机的性能。仿真结果表明了该方法的有效性和优越性。(C) 2011 Elsevier Ltd.版权所有。
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.