Sensorless Control for a Switched Reluctance Wind Generator, Based on Current Slopes and Neural Networks
Sensorless Control for a Switched Reluctance Wind Generator, Based on Current Slopes and Neural Networks
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DOI：
10.1109/tie.2008.2005940
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发表时间：
2009-03
影响因子：
7.7
通讯作者：
Estanislao Echenique;J. Dixon;R. Cárdenas;R. Peña
中科院分区：
文献类型：
--
作者：
Estanislao Echenique;J. Dixon;R. Cárdenas;R. Peña
在本文中，分析，设计和实现一种新的转子位置估计器的控制变速开关磁阻发电机（SRG）。利用不饱和瞬时电感获得转子位置。通过计算相电流的斜率并使用其输入为平均电流和饱和电感的减小尺寸的神经网络（NN）来估计该不饱和电感。所提出的估计需要更少的处理时间比传统的方法，可以完全实现使用低成本的DSP与非常少的额外的模拟/数字组件。本文提出的转子位置估计器可应用于SRG作为变速发电机的风能转换系统。目前正在研究这种应用，因为SRG具有众所周知的优点，如鲁棒性，低制造成本和良好的尺寸功率比。使用2.5千瓦8/6-SRG原型的仿真和实验结果。
In this paper, the analysis, design, and implementation of a novel rotor position estimator for the control of variable-speed switched reluctance generators (SRGs) are presented. The rotor position is obtained using the unsaturated instantaneous inductance. This unsaturated inductance is estimated calculating the slope of the phase current and using a reduced-size neural network (NN) whose inputs are the average current and the saturated inductance. The proposed estimator requires less processing time than traditional methods and can be fully implemented using a low-cost DSP with very few additional analog/digital components. The rotor position estimator presented in this paper can be applied to a wind energy conversion system where the SRG is used as a variable-speed generator. This application is currently being studied because the SRG has well-known advantages such as robustness, low manufacturing cost, and good size-to-power ratio. Simulation and experimental results are presented using a 2.5-kW 8/6-SRG prototype.