Soft sensor based on support vector machine for effective wind speed in large variable wind

被引：0

作者：

Yang, Xiyun ^{[1
]}

Han, Xiaojuan ^{[1
]}

Xu, Lingfeng ^{[1
]}

Liu, Yibing ^{[1
]}

机构：

[1] N China Elect Power Univ, Dept Automat, Beijing 102206, Peoples R China

来源：

2006 9TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION, ROBOTICS AND VISION, VOLS 1- 5 | 2006年

关键词：

wind turbine; effective wind speed; soft sensor; support vector machine; variable pitch;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Accurate estimation of wind speed can improve control capabilities of wind turbines. The wind speed is generally different at every point on the surface covered by the blades due to three dimensional and time-varied wind fields; effective wind speed cannot be measured by an anemometer. In this paper the problem of effective wind speed estimation is considered as soft sensor. Soft sensor modeling utilizes technique of support vector machine, which is efficient for the problem characterized by small sample, nonlinearity, high dimension, local minima and has high generalization. Comparing with Kalman filter, simulation results show support vector machine is an effective method for soft sensor modeling. Effective wind speed estimation can exactly track the trend of wind speed and has high estimation precision.

引用

页码：919 / +

页数：2

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