A Two-stage Kalman Filter for Sensorless Direct Torque Controlled PM Synchronous Motor Drive

Joint Authors

Yi, Boyu
Kang, Longyun
Jiang, Kai
Lin, Yujian

Source

Mathematical Problems in Engineering

Issue

Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-12, 12 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2013-04-15

Country of Publication

Egypt

No. of Pages

12

Main Subjects

Civil Engineering

Abstract EN

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.

American Psychological Association (APA)

Yi, Boyu& Kang, Longyun& Jiang, Kai& Lin, Yujian. 2013. A Two-stage Kalman Filter for Sensorless Direct Torque Controlled PM Synchronous Motor Drive. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-12.
https://search.emarefa.net/detail/BIM-1010712

Modern Language Association (MLA)

Yi, Boyu…[et al.]. A Two-stage Kalman Filter for Sensorless Direct Torque Controlled PM Synchronous Motor Drive. Mathematical Problems in Engineering No. 2013 (2013), pp.1-12.
https://search.emarefa.net/detail/BIM-1010712

American Medical Association (AMA)

Yi, Boyu& Kang, Longyun& Jiang, Kai& Lin, Yujian. A Two-stage Kalman Filter for Sensorless Direct Torque Controlled PM Synchronous Motor Drive. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-12.
https://search.emarefa.net/detail/BIM-1010712

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1010712