Neural-network-based parameter estimations of induction motors

被引：85
|
作者：
Was, Miroslaw [1 ]
Krzeminski, Zbigniew [1 ]
Toliyat, Hamid A. [2 ]
机构：
[1] Gdansk Univ Technol, Fac Elect & Control Engn, PL-80952 Gdansk, Poland
[2] Texas A&M Univ, Dept Elect & Comp Engn, College Stn, TX 77843 USA
来源：
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS | 2008年 / 55卷 / 04期
关键词：
artificial neural networks (ANNs); digital signal processors (DSPs); induction motor; mutual inductance; observer system; parameter estimation; rotor resistance;
D O I：
10.1109/TIE.2008.918615
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The goal of this paper is to use artificial neural networks (ANNs) for online identification of induction-motor parameters. ANNs such as feedforward and recurrent networks will be used to develop an ANN as a memory for remembering the estimated parameters and for computing the parameters during transients. Simulations and experimental results will be presented for a nonlinear control system of induction motors. A digital signal processor will be used for the experimental investigation.
引用
收藏
页码：1783 / 1794
页数：12
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