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Online Short-Circuit Current Estimation of Permanent Magnet Motors.

Authors :
Li, Chen
Baruti, Kudra
Akin, Bilal
Source :
IEEE Transactions on Power Electronics. Dec2022, Vol. 37 Issue 12, p15554-15570. 17p.
Publication Year :
2022

Abstract

In this article, online short-circuit estimation of permanent magnet synchronous motors (PMSMs) are presented, which is essential for postfault ac drive operations. For this purpose, initially, the PMSM model with interturn short-circuit fault (ITSC) is extended to cover motors with saliency. By utilizing ITSC model voltage equations and voltage reference equations, the amplitude and phase relationship between short-circuit current and the phase reference voltage is established. In the next step, second harmonics in the reference voltage and feedback current are used to extract the short-circuit current information. In order to efficiently use ac drive microcontroller bandwidth, the proposed short-circuit current estimation method is executed after the ITSC fault is detected, not continuously. Instead of running the proposed short-circuit current estimation continuously, it is reasonable to run it after an ITSC fault detection to efficiently use ac drive microcontroller bandwidth. Therefore, two intermediate steps, a simple ITSC fault detection and severity estimation algorithms are proposed as well. The proposed technique can estimate the fault current and severity without the knowledge of fault location and valid for all PM motors. The findings are experimentally tested using two PMSMs to demonstrate the effectiveness and practicability of the proposed estimation technique. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
08858993
Volume :
37
Issue :
12
Database :
Academic Search Index
Journal :
IEEE Transactions on Power Electronics
Publication Type :
Academic Journal
Accession number :
158914672
Full Text :
https://doi.org/10.1109/TPEL.2022.3195487