Neural Network Approach for Stator Current Sensor Fault Detection and Isolation for Vector Controlled Induction Motor Drive

被引：0

作者：

Klimkowski, Kamil ^{[1
]}

Dybkowski, Mateusz ^{[1
]}

机构：

[1] Wroclaw Univ Technol, Dept Elect Machines Dr & Measurements, Wroclaw, Poland

来源：

2016 IEEE INTERNATIONAL POWER ELECTRONICS AND MOTION CONTROL CONFERENCE (PEMC) | 2016年

关键词：

SPEED;

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：

The paper deals with the fault tolerant Direct Field Oriented Control of an induction motor drive. Influence of the stator current sensor general failures to the properties of the drive system is presented. To the sensor fault detection the artificial neural network approach is proposed. After the fault detection, drive topology is changed based on the sensor or control topology redundancy. Drive is tested in simulation and in the laboratory set-up with 1.1kW machine and DS1202 card under faulted and post-fault conditions, in wide speed reference changes.

引用

页码：1072 / 1078

页数：7

共 17 条

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