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Windowed Least Square Algorithm Based PMSM Parameters Estimation
Author
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-09-11
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Stator resistance and inductances in d-axis and q-axis of permanent magnet synchronous motors (PMSMs) are important parameters.
Acquiring these accurate parameters is usually the fundamental part in driving and controlling system design, to guarantee the performance of driver and controller.
In this paper, we adopt a novel windowed least algorithm (WLS) to estimate the parameters with fixed value or the parameter with time varying characteristic.
The simulation results indicate that the WLS algorithm has a better performance in fixed parameters estimation and parameters with time varying characteristic identification than the recursive least square (RLS) and extended Kalman filter (EKF).
It is suitable for engineering realization in embedded system due to its rapidity, less system resource possession, less computation, and flexibility to adjust the window size according to the practical applications.
American Psychological Association (APA)
Wang, Song. 2013. Windowed Least Square Algorithm Based PMSM Parameters Estimation. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-1008496
Modern Language Association (MLA)
Wang, Song. Windowed Least Square Algorithm Based PMSM Parameters Estimation. Mathematical Problems in Engineering No. 2013 (2013), pp.1-11.
https://search.emarefa.net/detail/BIM-1008496
American Medical Association (AMA)
Wang, Song. Windowed Least Square Algorithm Based PMSM Parameters Estimation. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-1008496
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1008496