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Content Provider | IEEE Xplore Digital Library |
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Author | An, Lu Hameyer, Kay |
Copyright Year | 2014 |
Description | Author affiliation: Institute of Electrical Machines, RWTH Aachen University, Germany (An, Lu; Hameyer, Kay) |
Abstract | This paper proposes the rotor position and rotor speed estimation for an interior permanent magnet synchronous machines (IPMSM) using Unscented Kalman Filter (UKF) in alpha-beta coordinate system. Conventional algorithms using UKF are based on the simple observer model of IPMSM in d-q coordinate system. Rotor acceleration is neglected within the sampling step. An expansion of the observer model in an alphabeta coordinate system with the consideration of the rotor speed variation provides the improved rotor position and speed estimation. The results show good stability concerning the expansion of observer model for the IPMSM. |
Starting Page | 727 |
Ending Page | 732 |
File Size | 896396 |
Page Count | 6 |
File Format | |
ISBN | 9781479951628 |
DOI | 10.1109/ICEMS.2014.7013577 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2014-10-22 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Rotors Observers Kalman filters Stators Mathematical model Covariance matrices |
Content Type | Text |
Resource Type | Article |
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