A Comparative Analysis of Speed Estimation Techniques of Induction Motor Drive using Non-linear Kalman Filters

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dc.contributor.authorBanu, S.
dc.contributor.authorJohnson, T.
dc.contributor.authorMoger, T.
dc.date.accessioned2026-02-06T06:36:09Z
dc.date.issued2021
dc.description.abstractIn this paper the use of non-linear kalman filters to estimate the rotor speed of an induction motor drive is studied in detail. The general structure of the extended Kalman filter (EKF), unscented kalman filter (UKF) and cubature kalman filter (CKF) is reviewed, and the various system vectors and matrices are defined. By including the rotor speed as a state variable, these non-linear kalman filter equations are established from a discrete two-axis model of the three-phase induction motor. Using MATLAB/Simulink, simulation of the speed estimation algorithm is carried out for an induction motor with Space Vector Modulation (SVM) drive. The experimental results obtained are compared for feasibility and performance, and it is observed that CKF is the most accurate among the three kalman filters even during parameter changes due to motor temperature and speed variations. © 2021 IEEE.
dc.identifier.citationProceedings of 2021 31st Australasian Universities Power Engineering Conference, AUPEC 2021, 2021, Vol., , p. -
dc.identifier.urihttps://doi.org/10.1109/AUPEC52110.2021.9597814
dc.identifier.urihttps://idr.nitk.ac.in/handle/123456789/30293
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.subjectCKF
dc.subjectEKF
dc.subjectIM drive
dc.subjectSpeed estimation
dc.subjectUKF
dc.titleA Comparative Analysis of Speed Estimation Techniques of Induction Motor Drive using Non-linear Kalman Filters

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