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Open AccessArticle

A New Flux Linkage Estimation with Drift Cancellation Technique for Switched Reluctance Machines

Department of Integrated Systems, Mechanical Engineering, University of Campinas, Campinas, SP 13083-970, Brazil
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Author to whom correspondence should be addressed.
Electronics 2020, 9(3), 405; https://doi.org/10.3390/electronics9030405
Received: 31 January 2020 / Revised: 19 February 2020 / Accepted: 20 February 2020 / Published: 28 February 2020
(This article belongs to the Section Systems & Control Engineering)
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 R 2 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. View Full-Text
Keywords: switched reluctance machines; flux linkage estimation; drift cancellation; modeling switched reluctance machines; flux linkage estimation; drift cancellation; modeling
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MDPI and ACS Style

de Paula, M.V.; dos Santos Barros, T.A. A New Flux Linkage Estimation with Drift Cancellation Technique for Switched Reluctance Machines. Electronics 2020, 9, 405. https://doi.org/10.3390/electronics9030405

AMA Style

de Paula MV, dos Santos Barros TA. A New Flux Linkage Estimation with Drift Cancellation Technique for Switched Reluctance Machines. Electronics. 2020; 9(3):405. https://doi.org/10.3390/electronics9030405

Chicago/Turabian Style

de Paula, Marcelo V.; dos Santos Barros, Tárcio A. 2020. "A New Flux Linkage Estimation with Drift Cancellation Technique for Switched Reluctance Machines" Electronics 9, no. 3: 405. https://doi.org/10.3390/electronics9030405

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