Agradecimentos: This research was funded by Fundação de Amparo a Pesquisa do Estado de São Paulo (FAPESP) grant number 2017/21640-9 and by Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq).The authors acknowledge the Department of Integrated Systems of Mechanical Engineering and the Power Electronics Lab (LEPO) of the Department of Energy Systems of Electrical Engineering, both from University of Campinas Ver menos

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 Ver menos