Fault Reconstruction Based on Sliding Mode Observer for Current Sensors of PMSM

Joint Authors

Zhang, Chang-fan
He, Jing
Liao, Huijun
Li, Xiangfei
Sun, Jian

Source

Journal of Sensors

Issue

Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-9, 9 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2015-11-24

Country of Publication

Egypt

No. of Pages

9

Main Subjects

Civil Engineering

Abstract EN

This paper deals with a method of phase current sensor fault reconstruction for permanent magnet synchronous motor (PMSM) drives.

A new state variable is introduced so that an augmented system can be constructed to treat PMSM sensor faults as actuator faults.

This method uses the PMSM two-phase stationary reference frame fault model and a sliding mode variable structure observer to reconstruct fault signals.

A logic algorithm is built to isolate and identify the faulty sensor for a stator phase current fault after reconstructing the two-phase stationary reference frame fault signals, which allows the phase fault signals to be reconstructed.

Simulation results are presented to illustrate the functionality of the theoretical developments.

American Psychological Association (APA)

Zhang, Chang-fan& Liao, Huijun& Li, Xiangfei& Sun, Jian& He, Jing. 2015. Fault Reconstruction Based on Sliding Mode Observer for Current Sensors of PMSM. Journal of Sensors،Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1110692

Modern Language Association (MLA)

Zhang, Chang-fan…[et al.]. Fault Reconstruction Based on Sliding Mode Observer for Current Sensors of PMSM. Journal of Sensors No. 2016 (2016), pp.1-9.
https://search.emarefa.net/detail/BIM-1110692

American Medical Association (AMA)

Zhang, Chang-fan& Liao, Huijun& Li, Xiangfei& Sun, Jian& He, Jing. Fault Reconstruction Based on Sliding Mode Observer for Current Sensors of PMSM. Journal of Sensors. 2015. Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1110692

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1110692