Adaptive Two-Stage Extended Kalman Filter Theory in Application of Sensorless Control for Permanent Magnet Synchronous Motor
Joint Authors
Yi, Boyu
Kang, Longyun
Tao, Sinian
Zhao, Xianxian
Jing, Zhaoxia
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-12-12
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
Extended Kalman filters (EKF) have been widely used for sensorless field oriented control (FOC) in permanent magnet synchronous motor (PMSM).
The first key problem associated with EKF is that the estimator requires all the plant dynamics and noise processes are exactly known.
To compensate inaccurate model information and improve tracking ability, adaptive fading extended Kalman filtering algorithms have been proposed for the nonlinear system.
The second key problem is that the EKF suffers from computational burden and numerical problems when state dimension is large.
The two-stage extended Kalman filter (TSEKF) with respect to this problem has been extensively studied in the past.
Combining the advantages of both AFEKF and TSEKF, this paper presents an adaptive two-stage extended Kalman filter (ATEKF) for closed-loop position and speed estimation of a PMSM to achieve sensorless operation.
Experimental results demonstrate that the proposed ATEKF algorithm for PMSMs has strong robustness against model uncertainties and very good real-time state tracking ability.
American Psychological Association (APA)
Yi, Boyu& Kang, Longyun& Tao, Sinian& Zhao, Xianxian& Jing, Zhaoxia. 2013. Adaptive Two-Stage Extended Kalman Filter Theory in Application of Sensorless Control for Permanent Magnet Synchronous Motor. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-13.
https://search.emarefa.net/detail/BIM-1032511
Modern Language Association (MLA)
Yi, Boyu…[et al.]. Adaptive Two-Stage Extended Kalman Filter Theory in Application of Sensorless Control for Permanent Magnet Synchronous Motor. Mathematical Problems in Engineering No. 2013 (2013), pp.1-13.
https://search.emarefa.net/detail/BIM-1032511
American Medical Association (AMA)
Yi, Boyu& Kang, Longyun& Tao, Sinian& Zhao, Xianxian& Jing, Zhaoxia. Adaptive Two-Stage Extended Kalman Filter Theory in Application of Sensorless Control for Permanent Magnet Synchronous Motor. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-13.
https://search.emarefa.net/detail/BIM-1032511
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1032511