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风力发电机单神经元内模解耦研究
引用本文:李雪龙,周渊深.风力发电机单神经元内模解耦研究[J].电气自动化,2012,34(4):26-28.
作者姓名:李雪龙  周渊深
作者单位:1. 中国矿业大学信息与电气工程学院,江苏 徐州 221008;淮海工学院电子工程学院,江苏 连云港 222005
2. 淮海工学院电子工程学院,江苏 连云港,222005
基金项目:此项工作得到江苏省海洋开发研究院自然科学基金
摘    要:针对双馈感应风力发电机(DFIG)矢量控制中转子电流M轴和T轴间存在的交叉耦合电压,提出单神经元内模控制器解耦新方案,讨论了具体的实现结构。对内模控制器采用等效变换和泰勒级数展开,将其约化为PID控制器的结构形式,并给出了单神经元控制器的详细S函数实现。仿真结果表明:利用单神经元控制使系统具有一定的参数自适应性,同时验证了该方案的可行性和有效性。

关 键 词:双馈感应发电机(DFIG)  内模解耦  单神经元  S函数

Decoupling Control of Doubly-fed Induction Wind Generator Based on Single Neuron Internal Model Control
LI Xue-long , ZHOU Yuan-shen.Decoupling Control of Doubly-fed Induction Wind Generator Based on Single Neuron Internal Model Control[J].Electrical Automation,2012,34(4):26-28.
Authors:LI Xue-long  ZHOU Yuan-shen
Affiliation:1. China University of Minding and Technology, Xuzhou Jiangsu 221008, China; 2. Department of Electronic Engineering, Huaihai Institute of Technology, Lianyungang Jiangsu 222005, China)
Abstract:This paper proposes a new strategy that combines the single neuron with internal model control ( IMC } to deeouple the cross-coupling voltage between the M-axis and T-axis rotor~ current of Doubly-fed Induction Wind Generator (DFIG). The PID controller model is obtained by the equivalent transformation and Taylor series expansion for the IMC. In this paper, the specific functions of the single neuron are implemented using the system function of MATLAB. A series of simulation were conducted and the results indicated that the system with a single neuron could change the parameters adaptively, showing the feasibility and effectiveness of the proposed method.
Keywords:Doubly-fed induction wind generator { DFIG)  IMC decoupling  Single neuron  S-function
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