Sensorless Control of Permanent Magnet Synchronous Motors and EKF Parameter Tuning Research
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-02-18
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
This paper concerns the parameter tuning and the estimated results postprocessing of the extended Kalman filter for the sensorless control application of permanent magnet synchronous motors.
At first an extended Kalman filter parameter tuning method is proposed based on the theoretical and simulation analysis of extended Kalman filter parameters.
Furthermore, a sensorless control system is proposed based on the parameter tuning method and the simulation analysis of extended Kalman filter estimation results in different reference speeds and different load torques.
The proposed sensorless control system consists of two parts.
The first one is a module to self-regulate extended Kalman filter parameters.
The second part can correct the estimated speed and the estimated rotation angle based on the reference speed and the electromagnetic torque.
Finally, simulation results are presented to verify the feasibility and validity of the proposed sensorless control system.
American Psychological Association (APA)
Zhang, Yong& Cheng, Xu-Feng. 2016. Sensorless Control of Permanent Magnet Synchronous Motors and EKF Parameter Tuning Research. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1112112
Modern Language Association (MLA)
Zhang, Yong& Cheng, Xu-Feng. Sensorless Control of Permanent Magnet Synchronous Motors and EKF Parameter Tuning Research. Mathematical Problems in Engineering No. 2016 (2016), pp.1-12.
https://search.emarefa.net/detail/BIM-1112112
American Medical Association (AMA)
Zhang, Yong& Cheng, Xu-Feng. Sensorless Control of Permanent Magnet Synchronous Motors and EKF Parameter Tuning Research. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1112112
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1112112