Real-Time Parameter Estimations of DC-AC Converters Using a Kalman Filter Approach

被引：0

作者：

Huang, Yuan ^{[1
]}

Armstrong, Matthew ^{[1
]}

Odhano, Shafiq ^{[1
]}

Ahmeid, Mohamed ^{[1
]}

机构：

[1] Newcastle Univ, Newcastle Upon Tyne, Tyne & Wear, England

来源：

2023 25TH EUROPEAN CONFERENCE ON POWER ELECTRONICS AND APPLICATIONS, EPE'23 ECCE EUROPE | 2023年

关键词：

<< DC-AC converter >>; << System identification >>; << Modelling >>; << Control Strategy >>; IDENTIFICATION;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

This paper proposes an approach for real-time parameter estimation of inverter-based systems, with validation via simulation. The Recursive Least Squares (RLS) and the Kalman Filter (KF) algorithms are compared and evaluated, with the KF showing the advantage of maintaining stability and responsiveness due to its covariance matrix update scheme.

引用

页数：8

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