Sensorless Control for a Switched Reluctance Wind Generator, Based on Current Slopes and Neural Networks

被引：67

作者：

Echenique, Estanislao ^{[1
]}

Dixon, Juan ^{[2
]}

Cardenas, Roberto ^{[3
]}

Pena, Ruben ^{[4
]}

机构：

[1] Systep Engn & Design Co, Santiago 7550171, Chile

[2] Pontificia Univ Catolica Chile, Dept Elect Engn, Santiago 7820436, Chile

[3] Univ Magallanes, Dept Elect Engn, Punta Arenas 6210427, Chile

[4] Univ Concepcion, Dept Elect Engn, Concepcion 4070386, Chile

来源：

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS | 2009年 / 56卷 / 03期

关键词：

Neural networks (NNs); position control; wind power generation; MOTOR-DRIVES; POSITION ESTIMATION; TORQUE RIPPLE; MINIMIZATION; SPEED;

D O I：

10.1109/TIE.2008.2005940

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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 reducedsize 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 sizeto-power ratio. Simulation and experimental results are presented using a 2.5-kW 8/6-SRG prototype.

引用

页码：817 / 825

页数：9

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