Sensorless induction motor drive with neural network

被引：8

作者：

Kuchar, M ^{[1
]}

Brandstetter, P ^{[1
]}

Kaduch, M ^{[1
]}

机构：

[1] Tech Univ Ostrava, VSB, Dept Power Elect & Elect Drives, Ostrava, Czech Republic

来源：

PESC 04: 2004 IEEE 35TH ANNUAL POWER ELECTRONICS SPECIALISTS CONFERENCE, VOLS 1-6, CONFERENCE PROCEEDINGS | 2004年

关键词：

D O I：

10.1109/PESC.2004.1355058

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：

The development and DSP implementation of AI-based speed estimator for applications in sensorless ac electrical drives are described in the paper. Rotor position and speed sensors are mostly required for vector control of induction motor. But there exist some applications in industry, where these sensors cannot be used. In the situations sensorless control technique should be used. In this paper rotor speed estimator are considered, which is based on a feedforward artificial neural network. It is demonstrated that such estimator, in contrast to conventional model-based approaches, does not depend on a knowledge of machine parameters. It is further shown that accurate estimates can be obtained in situation of varying load without the need for explicit load monitoring.

引用

页码：3301 / 3305

页数：5