Neural network based efficiency optimization of an induction motor drive with vector control

被引：0

作者：

Pryymak, B ^{[1
]}

Moreno-Eguilaz, JM ^{[1
]}

Peracaula, J ^{[1
]}

机构：

[1] NASU, EO Paton Elect Welding Inst, UA-03680 Kiev, Ukraine

来源：

IECON-2002: PROCEEDINGS OF THE 2002 28TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, VOLS 1-4 | 2002年

关键词：

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：

In this paper an efficient optimization controller for a vector control induction motor drive is studied using a neural network. A 2-5-7-1 neural network has been designed to estimate the optimum rotor flux for the motor. The network has been trained using a complete motor loss model, taking into account the magnetic deviations of the motor parameters. Simulation results are shown to demonstrate the validity of the proposed methods.

引用

页码：146 / 151

页数：6

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