Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/350686
Type: Artigo
Title: A new flux linkage estimation with drift cancellation for switched reluctance machines
Author: Paula, Marcelo Vinícius de
Barros, Tárcio André dos Santos
Abstract: Assessing the flux linkage is an important feature for electric machines, including switched reluctance machines. However, sensor calibration errors and noise impose a problem known as drift, which is caused by the integration process used to estimate the flux linkage. This paper proposes a flux linkage estimation with a drift cancellation technique. The technique accounts for the switched reluctance machine’s working and driving principles. Simulation and experimental results are used to validate the proposed method. Additionally, a goodness-of-fit analysis is performed to support the outcomes. A R2 factor of 0.9823 is found between the experimentally and simulation-estimated flux linkage. The results indicate that the method works properly and may be further used in control techniques and iron losses estimation
Subject: Modelagem
Country: Suíça
Editor: MDPI AG
Rights: Fechado
Identifier DOI: 10.3390/electronics9030405
Address: https://www.mdpi.com/2079-9292/9/3/405
Date Issue: 2020
Appears in Collections:FEEC - Artigos e Outros Documentos
FEM - Artigos e Outros Documentos

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