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| 基于RBF神经网络的桨距角控制策略 | |
| 引用本文： | 王哲,田艳丰,陈雷,郭庆鼎.基于RBF神经网络的桨距角控制策略[J].太阳能学报,2011,32(5):623-626. |
| 作者姓名： | 王哲 田艳丰 陈雷 郭庆鼎 |
| 作者单位： | 1. 沈阳工业大学电气工程学院,沈阳,110178 2. 沈阳工业大学信息科学与工程学院,沈阳,110178 3. 沈阳工业大学风能技术研究所,沈阳,110023 |
| 摘 要： | 针对风力发电系统数学模型复杂,受参数变化和外部干扰严重,具有非线性、时变、强耦合的特点,将神经网络控制引入到风力发电控制系统中,将神经网络控制器作为变桨距系统的控制器,在风速高于额定风速的情况下,根据风速的变化调整桨叶桨距角,从而调节发电机的输出功率,使风力发电机组的输出功率保持稳定.最后,利用Simulink搭建整个... |
| 关 键 词： | PID 桨距角 径向基函数 simulink 风力机 |
PITCH ANGLE CONTROL STRATEGY BASED ON RBF NEURAL NETWORK |
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| Wang Zhe,Tian Yanfeng,Chen Lei,Guo Qingding.PITCH ANGLE CONTROL STRATEGY BASED ON RBF NEURAL NETWORK[J].Acta Energiae Solaris Sinica,2011,32(5):623-626. | |
| Authors: | Wang Zhe Tian Yanfeng Chen Lei Guo Qingding |
| Affiliation: | Wang Zhe1,Tian Yanfeng2,Chen Lei3,Guo Qingding1(1.School of Electrical Engineering,Shenyang University of Technology,Shenyang 110178,China,2.School of Information Science and Engineering,3.Wind Energy Institute,Shenyang 110023,China) |
| Abstract: | The mathematical model of the wind power generation system is complex, strongly affected by the varying parameter and exterior disturbing,and has the features of nonlinear,time changing and coupling.According to the above characteristics,the Neural Network control was introduced into the wind power system. By using the RBF Neural Network controller as the controller of the variable-pitch system,when the wind speed is higher than the rated speed,the angle and the power output are adjusted according to the ch... |
| Keywords: | PID pitch angle radial basis function simulink wind power |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |
