Signal-Based Sensor Fault Detection and Isolation for PMSG in Wind Energy Conversion Systems

被引：24

作者：

Beddek, Karim ^{[1
,2
]}

Merabet, Adel ^{[2
]}

Kesraoui, Mohamed ^{[1
]}

Tanvir, Aman A. ^{[2
]}

Beguenane, Rachid ^{[3
]}

机构：

[1] Univ Boumerdes, Dept Automat, Lab Appl Automat, Boumerdes 35000, Algeria

[2] St Marys Univ, Div Engn, Halifax, NS B3H 3C3, Canada

[3] Royal Mil Coll Canada, Dept Elect Engn, Kingston, ON K7K 7B4, Canada

来源：

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT | 2017年 / 66卷 / 09期

基金：

加拿大创新基金会;

关键词：

Additive fault; fault detection and isolation (FDI); multiplicative fault; permanent magnet synchronous generator (PMSG); sensor; wind energy conversion system (WECS); DIAGNOSIS; CONVERTER; GENERATOR; SCHEME; DRIVES; SPEED;

D O I：

10.1109/TIM.2017.2700138

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：

This paper presents a fault detection and isolation system for additive and multiplicative faults for current and voltage measurements of a controlled wind energy conversion system (WECS). The method is based on an observer scheme, comprised of a time-varying Kalman filter and a maximum-shift strategy, to generate new residuals capable of detecting all fault types especially multiplicative ones with low gains. The detection system has been experimentally validated on a WECS driven by a permanent magnet synchronous generator, and experimental results have proved its effectiveness.

引用

页码：2403 / 2412

页数：10

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