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Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1098

Title: A comparative study of Kalman filtering for sensorless control of a permanent-magnet synchronous motor drive
Authors: Borsje, Pieter
Chan, T. F.
Wong, Yiu-kwong
Ho, Siu-lau
Subjects: Computer simulation
Electric drives
Mathematical models
Permanent magnets
Rotors
Speed control
Synchronous motors
Issue Date: 2005
Publisher: IEEE
Citation: IEMDC 2005 : 2005 IEEE International Conference on Electric Machines and Drives : May 15, 2005, San Antonio, Tex., p. 815-822.
Abstract: This paper presents a comparative study of the novel Unscented Kalman Filter (UKF) and the Extended Kalman Filter (EKF) for estimation of the rotor speed and position of a permanent-magnet synchronous motor (PMSM) drive. The general structure of the EKF and the UKF are reviewed. The various system vectors, matrices, models and algorithm programs are presented. Simulation studies on the two Kalman filters are carried out using Matlab and Simulink to explore the usability of the UKF in a sensorless PMSM drive. In order to compare the estimation performances of the observers, both filters are designed for the same motor model and control system and run with the same covariances. The simulation results indicate that the UKF is capable of tracking the actual rotor speed and position provided that the elements of the covariance matrices are properly selected. Since covariance tuning of the Kalman filter is often a trial-and-error process, an unconventional, asymmetric way of setting the model covariance parameters is introduced. It is shown that tuning is easier and the method gives a significant improvement in performance and filter stability.
Rights: © 2005 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
Type: Conference Paper
URI: http://hdl.handle.net/10397/1098
ISBN: 0780389875
Appears in Collections:EE Conference Papers & Presentations

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