A Two-stage Kalman Filter for Sensorless Direct Torque Controlled PM Synchronous Motor Drive. (15th April 2013)
- Record Type:
- Journal Article
- Title:
- A Two-stage Kalman Filter for Sensorless Direct Torque Controlled PM Synchronous Motor Drive. (15th April 2013)
- Main Title:
- A Two-stage Kalman Filter for Sensorless Direct Torque Controlled PM Synchronous Motor Drive
- Authors:
- Yi, Boyu
Kang, Longyun
Jiang, Kai
Lin, Yujian - Other Names:
- Yan Jun-Juh Academic Editor.
- Abstract:
- Abstract : This paper presents an optimal two-stage extended Kalman filter (OTSEKF) for closed-loop flux, torque, and speed estimation of a permanent magnet synchronous motor (PMSM) to achieve sensorless DTC-SVPWM operation of drive system. The novel observer is obtained by using the same transformation as in a linear Kalman observer, which is proposed by C.-S. Hsieh and F.-C. Chen in 1999. The OTSEKF is an effective implementation of the extended Kalman filter (EKF) and provides a recursive optimum state estimation for PMSMs using terminal signals that may be polluted by noise. Compared to a conventional EKF, the OTSEKF reduces the number of arithmetic operations. Simulation and experimental results verify the effectiveness of the proposed OTSEKF observer for DTC of PMSMs.
- Is Part Of:
- Mathematical problems in engineering. Volume 2013(2013)
- Journal:
- Mathematical problems in engineering
- Issue:
- Volume 2013(2013)
- Issue Display:
- Volume 2013, Issue 2013 (2013)
- Year:
- 2013
- Volume:
- 2013
- Issue:
- 2013
- Issue Sort Value:
- 2013-2013-2013-0000
- Page Start:
- Page End:
- Publication Date:
- 2013-04-15
- Subjects:
- Engineering mathematics -- Periodicals
510.2462 - Journal URLs:
- https://www.hindawi.com/journals/mpe/ ↗
http://www.gbhap-us.com/journals/238/238-top.htm ↗ - DOI:
- 10.1155/2013/768736 ↗
- Languages:
- English
- ISSNs:
- 1024-123X
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 21185.xml