Nonlinear error compensation of speed sensorless Based on wavelet neural networks

被引：0

作者：

Zhao, Hong ^{[1
]}

机构：

[1] China Jiliang Univ, Sch Mechatron Engn, Hangzhou, Zhejiang, Peoples R China

来源：

2011 SECOND ETP/IITA CONFERENCE ON TELECOMMUNICATION AND INFORMATION (TEIN 2011), VOL 2 | 2011年

关键词：

speed sensorless; nonlinear error; compensation; wavelet neural networks;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The compensative method of nonlinear error of speed sensorless was studied by using wavelet neural networks, and the algorithm and formulas were presented. The speed sensorless input and output essence was kept in the method, and the nonlinear model speed sensorless could be retrofitted into a non-distortion linear model that was consistent with the actual physical process. A applied example results showed that the method was the effectiveness.

引用

页码：289 / 291

页数：3

共 6 条

[1] Control sensor linearization using artificial neural networks
Dempsey, GL
Alig, JS
Alt, NL
Olson, BA
Redfield, DE
[J]. ANALOG INTEGRATED CIRCUITS AND SIGNAL PROCESSING, 1997, 13 (03) : 321 - 332
[2] LI XF, 2010, J YANCHENG I TECHNOL, V22, P47
[3] LI YZ, 2010, MICROMOTORS, V43, P52
[4] WAVELET NETWORKS
ZHANG, QG
BENVENISTE, A
[J]. IEEE TRANSACTIONS ON NEURAL NETWORKS, 1992, 3 (06): : 889 - 898
[5] [张兴华 Zhang Xinghua], 2005, [电工技术学报, Transactions of China Electrotechnical Society], V20, P55
[6] ZHANG XN, 2009, WORLD INVERTERS, V20, P36

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