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Nonlinear estimation of stator winding resistance in a brushless DC motor

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dc.contributor.authorZhang W
dc.contributor.authorGadsden SA
dc.contributor.authorHabibi SR
dc.contributor.departmentMechanical Engineering
dc.date.accessioned2025-02-27T20:07:19Z
dc.date.available2025-02-27T20:07:19Z
dc.date.issued2013-09-11
dc.date.updated2025-02-27T20:07:19Z
dc.description.abstractEstimation of stator winding resistance in brushless DC motors is important for fault detection and diagnosis. The most popular linear estimation method to date remains the Kalman filter (KF), and the extended form (EKF) for nonlinear systems and measurements. However, a relatively new method referred to as the smooth variable structure filter (SVSF) was introduced in an effort to overcome some of the instability issues with the KF. Further to this development, a new nonlinear estimation strategy was created based on combining elements of the EKF with the SVSF. This new method, referred to as the EK-SVSF, has been applied to a brushless DC motor for estimating the stator winding values. The results are compared with the popular EKF. © 2013 AACC American Automatic Control Council.
dc.identifier.doihttps://doi.org/10.1109/acc.2013.6580564
dc.identifier.issn0743-1619
dc.identifier.issn2378-5861
dc.identifier.urihttp://hdl.handle.net/11375/31217
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.subject40 Engineering
dc.subject4008 Electrical Engineering
dc.subject4009 Electronics, Sensors and Digital Hardware
dc.titleNonlinear estimation of stator winding resistance in a brushless DC motor
dc.typeArticle

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