首页> 外文会议>Intelligent Networks and Intelligent Systems, 2009. ICINIS '09 >The Estimation of Wind Turbine Pitch Angle Based on ANN
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The Estimation of Wind Turbine Pitch Angle Based on ANN

机译:基于人工神经网络的风力发电机俯仰角估计。

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摘要

Variable-speed and constant-frequency (VSCF) pitch-controlled wind turbine is believed to be superior to other types of wind turbine due to its features such as high efficiency and ideal starting and braking performance, Artificial Neural Networks (ANN) technology is adopted to predict pitch angle at real-time working condition, and to obtain more accurate pitch angle reference value. It enhances control precision of the entire pitch-controlled system. Pitch-controlled system, the very core of a large-scale wind turbine control system, is playing a very important role in the security, stability and efficient operation of the units.
机译:变速和恒定频率(VSCF)变桨控制型风力发电机因其高效,理想的启动和制动性能等特点而被认为优于其他类型的风力发电机,并采用了人工神经网络(ANN)技术在实时工作条件下预测俯仰角,以获得更准确的俯仰角参考值。它提高了整个变桨控制系统的控制精度。变桨控制系统是大型风力涡轮机控制系统的核心,在机组的安全性,稳定性和高效运行中起着非常重要的作用。

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