Predictive pitch control of an electro-hydraulic digital pitch system for wind turbines based on the extreme learning machine
Predictive pitch control of an electro-hydraulic digital pitch system for wind turbines based on the extreme learning machine
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基于极限学习机的风电机组电液数字变桨系统预测变桨控制
DOI：
10.1177/0142331215589610
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发表时间：
2016-11
影响因子：
1.8
通讯作者：
Li, Wei
中科院分区：
文献类型：
--
作者：
Yin, Xiu-xing;Lin, Yong-gang;Li, Wei
本文提出了一种用于调节风力机输出功率和传动系扭矩的电液数字变桨距系统。该变桨距系统由电液数字伺服系统驱动，可通过数字控制来调节叶片的俯仰角，具有较高的控制精度和较快的响应速度。给出了该变桨距系统的一个闭环控制回路，并在线训练了一个极值学习机来表示该控制回路中的风力机非线性特性。在此基础上，利用所建立的极值学习机设计了预测变桨距控制器，以提高变桨距控制的性能。对比实验结果表明，所提出的变桨距系统和预测变桨距控制器在输出功率和传动系扭矩调节方面都有明显的改善。
An electro-hydraulic digital pitch system is proposed in this paper to regulate output power and drive-train torque for wind turbines. This pitch system is driven by an electro-hydraulic digital servo system and can be digitally controlled to regulate the blade pitch angle with relatively high control accuracy and fast response. A closed control loop of this pitch system is presented and an extreme learning machine is online trained to represent the nonlinear wind turbine characteristics in this control loop. Furthermore, a predictive pitch controller is designed to improve the final pitch control performances by using the established extreme learning machine. Comparative experimental results are presented to illustrate the achievable significant performance improvements on output power and drive-train torque regulations by using the proposed pitch system and predictive pitch controller.
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DOI：
10.1109/iccep.2009.5211972
发表时间：
2009-06
期刊：
2009 International Conference on Clean Electrical Power
影响因子：
--
作者：
M. Ruba;L. Szabó;F. Jurca
通讯作者：
M. Ruba;L. Szabó;F. Jurca
DOI：
--
发表时间：
2010-12
期刊：
2010 International Conference on Electrical Machines and Systems
影响因子：
--
作者：
Kang Qing;Xiao Xi;Wu Guorong
通讯作者：
Kang Qing;Xiao Xi;Wu Guorong
影响因子：
6
作者：
Huang, Guang-Bin;Zhu, Qin-Yu;Siew, Chee-Kheong
通讯作者：
Siew, Chee-Kheong
DOI：
10.1243/09544062jmes2257
发表时间：
2011-03
期刊：
Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science
影响因子：
--
作者：
J. Dai;Y-P Hu;D.S. Liu;X. Long
通讯作者：
J. Dai;Y-P Hu;D.S. Liu;X. Long
DOI：
10.1109/icit.2008.4608636
发表时间：
2008-04
期刊：
2008 IEEE International Conference on Industrial Technology
影响因子：
--
作者：
Xin Gu;Jing Hui
通讯作者：
Xin Gu;Jing Hui