Study of neural network application on direct torque control of induction machine

被引：0

作者：

Huang, SD ^{[1
]}

Lin, YJ ^{[1
]}

机构：

[1] Hunan Univ, Coll Elect & Informat Engn, Changsha 410082, Peoples R China

来源：

ICEMS'2001: PROCEEDINGS OF THE FIFTH INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS, VOLS I AND II | 2001年

关键词：

BP neural networks; resistance estimator; induction machine; direct torque control;

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：

This paper presented a BP neural network resistance estimation scheme for direct torque control (DTC) of induction machine. The neural estimator observes the stator current to detect the changes in the stator resistance. Simulation models are constructed using MATLAB/SIMULINK to analysis the application of the neural on the DTC, which is trained to follow the relationship between the stator current and stator resistance.. Improved performance such as dynamics characteristic can be testified through the simulation.

引用

页码：1282 / 1285

页数：4