Neural network control of induction motor drives for energy efficiency and high dynamic performance

被引：0

作者：

Hasan, KM ^{[1
]}

Zhang, L ^{[1
]}

Singh, B ^{[1
]}

机构：

[1] Univ Bradford, Dept Elect & Elect Engn, Bradford BD7 1DP, W Yorkshire, England

来源：

IECON '97 - PROCEEDINGS OF THE 23RD INTERNATIONAL CONFERENCE ON INDUSTRIAL ELECTRONICS, CONTROL, AND INSTRUMENTATION, VOLS. 1-4 | 1997年

关键词：

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 describes the use of neural networks in maximizing the efficiency of an induction motor drive. Based upon the principle that the flux level in a machine can be adjusted to give the minimum amount of losses for a given value of speed and load torque, a neural network model is used to predict the optimal flux level in a vector-controlled induction motor drive system, achieving both high dynamic response and optimal efficiency. Simulation studies were performed on a vector-controlled induction motor drive.

引用

页码：488 / 493

页数：6

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