A New Open Loop Approach for Identifying the Initial Rotor Position of a Permanent Magnet Synchronous Motor

Joint Authors

Zhu, Yonghong
Liu, Hongli
Xiong, Lei
Zhang, Guoping
Zhu, Qixin

Source

Journal of Control Science and Engineering

Issue

Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-8, 8 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2017-11-26

Country of Publication

Egypt

No. of Pages

8

Main Subjects

Electronic engineering
Information Technology and Computer Science

Abstract EN

The precision of initial rotor position detection is critical for the start and running performance of permanent magnet synchronous motor (PMSM).

This work describes a new open loop approach for identifying the initial position of a PMSM with an incremental encoder, even when a constant load torque is being applied.

By giving a testing current with high frequency to the stator winding, the initial rotor position of a PMSM can be detected with reasonable accuracy.

The rotor almost does not move during the process of identification.

The FFT algorithms are used to remove the phase bias effects in identification.

Our approach is quicker and simpler than the conventional approaches.

American Psychological Association (APA)

Zhu, Qixin& Xiong, Lei& Liu, Hongli& Zhu, Yonghong& Zhang, Guoping. 2017. A New Open Loop Approach for Identifying the Initial Rotor Position of a Permanent Magnet Synchronous Motor. Journal of Control Science and Engineering،Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1173439

Modern Language Association (MLA)

Zhu, Qixin…[et al.]. A New Open Loop Approach for Identifying the Initial Rotor Position of a Permanent Magnet Synchronous Motor. Journal of Control Science and Engineering No. 2017 (2017), pp.1-8.
https://search.emarefa.net/detail/BIM-1173439

American Medical Association (AMA)

Zhu, Qixin& Xiong, Lei& Liu, Hongli& Zhu, Yonghong& Zhang, Guoping. A New Open Loop Approach for Identifying the Initial Rotor Position of a Permanent Magnet Synchronous Motor. Journal of Control Science and Engineering. 2017. Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1173439

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1173439