Encoderless predictive torque control for PMSM drives under open phase fault using only one current sensor

Joint Authors

Gmati, Badii
al-Khayl, Sajir Khujah

Source

Journal of Electrical Systems

Issue

Vol. 16, Issue 3 (30 Sep. 2020), pp.411-428, 18 p.

Publisher

Piercing Star House

Publication Date

2020-09-30

Country of Publication

Algeria

No. of Pages

18

Main Subjects

Science

Abstract EN

This paper presents a new fault tolerant control FTC scheme of Permanent Magnet Synchronous Motor drive.

A sensorless position predictive torque control (PTC) based on Sliding Mode-MRAS estimator is used for three-phase four-switch (B4) inverter-fed PMSM, which connects the neutral of the motor to the midpoint of the DC-Link voltage source.

Current observer is used to reconfigure the drive when one current sensor is available in the proposed inverter topology.

The main contribution of the proposed strategy relies on the fact that no reconfigurations or modifications of the converter topology and controller are required from normal operation to post-fault operation.

Simulation results are presented to verify the validity of the proposed control strategy.

American Psychological Association (APA)

Gmati, Badii& al-Khayl, Sajir Khujah. 2020. Encoderless predictive torque control for PMSM drives under open phase fault using only one current sensor. Journal of Electrical Systems،Vol. 16, no. 3, pp.411-428.
https://search.emarefa.net/detail/BIM-1020909

Modern Language Association (MLA)

Gmati, Badii& al-Khayl, Sajir Khujah. Encoderless predictive torque control for PMSM drives under open phase fault using only one current sensor. Journal of Electrical Systems Vol. 16, no. 3 (2020), pp.411-428.
https://search.emarefa.net/detail/BIM-1020909

American Medical Association (AMA)

Gmati, Badii& al-Khayl, Sajir Khujah. Encoderless predictive torque control for PMSM drives under open phase fault using only one current sensor. Journal of Electrical Systems. 2020. Vol. 16, no. 3, pp.411-428.
https://search.emarefa.net/detail/BIM-1020909

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references : p. 427-428

Record ID

BIM-1020909