Comparison of different types of neural speed estimators for the induction motor drive

被引:0
作者
Teresa, OK [1 ]
Czeslaw, K [1 ]
机构
[1] Wroclaw Univ Technol, Inst Elect Machines Drives & Measurements, PL-50372 Wroclaw, Poland
来源
ARTIFICIAL INTELLIGENCE IN REAL-TIME CONTROL 2000 | 2001年
关键词
induction motor; neural networks; speed estimation; digital signal processors;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
New control methods of the induction motor drives require knowledge of motor state variables, especially rotor speed. Various schemes of the rotor speed estimation were recently used, based on the mathematical models of the induction machine, on nonlinear phenomena of the motor and based on neural network concept. This papers deals with the application of neural networks approach to induction motor speed estimation under various operating conditions, including frequency control. Two kinds of neural speed estimators were compared in simulation and real experiments performed with help of TMS320C31 digital signal processor. Experimental results were presented and the speed estimation quality was evaluated. Copyright (C) 2000 LFAC.
引用
收藏
页码:77 / 82
页数:6
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