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http://repositorio.unicamp.br/jspui/handle/REPOSIP/356053
Type: | Artigo |
Title: | A new flux linkage estimation with drift cancellation technique 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: | FEM - Artigos e Outros Documentos |
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