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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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 factor of 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.
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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 Stylede 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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