Implementation of an SMO-based MRAS Estimator for Sensor-less Control of RDFIG Systems

被引：0

作者：

Mbukani, M. W. K. ^{[1
]}

Gule, N. ^{[2
]}

机构：

[1] Stellenbosch Univ, Stellenbosch, South Africa

[2] Stellenbosch Univ, Dept Elect & Elect Engn, Stellenbosch, South Africa

来源：

2020 INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES (ICEM), VOL 1 | 2020年

基金：

新加坡国家研究基金会;

关键词：

MRAS obervers; SMO; RDFIGs; sensor-less vector control; wind turbines; OBSERVER; ORDER;

D O I：

10.1109/icem49940.2020.9270923

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, a sliding mode observer (SMO)-based model reference adaptive system (MRAS) estimator for sensor-less vector control of rotor-tied doubly-fed induction generators (RDFIGs) in wind turbine applications is presented. The idea behind the association of the SMO and MRAS in the proposed estimator is motivated by the improvement that the use of the SMO brings. The improvement includes a better dynamic response and robustness against parameter variations. The performance of the proposed SMO-based MRAS estimator is investigated through simulations and compared to the standard MRAS estimator under various operating conditions of the RDFIG.

引用

收藏

页码：1143 / 1149

页数：7

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